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  • 1.
    Ahmad, Farooq
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Selection of foundational ontology for collaborative knowledge modeling in healthcare domain2010Ingår i: Artificial intelligence: methodology, systems, and applications / [ed] Dicheva, Darina; Dochev, Danail, Springer Berlin/Heidelberg, 2010, s. 261-262Konferensbidrag (Refereegranskat)
    Abstract [en]

    Ontology design is an important process for structuring knowledge to be reused in different projects in the health domain. In this paper, we describe an ontology design for the collaborative knowledge building system ACKTUS to be used for developing personalized knowledge applications for different domains. Different foundational ontologies were compared with respect to selected criteria considered vital for the project, such as modularity and descriptiveness.

  • 2.
    Baskar, Jayalakshmi
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Janols, Rebecka
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap. Umeå universitet, Medicinska fakulteten, Institutionen för samhällsmedicin och rehabilitering.
    Guerrero, Esteban
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    A Multipurpose Goal Model for Personalised Digital Coaching2017Ingår i: Agents and Multi-Agent Systems for Health Care: 10th International Workshop, A2HC 2017, São Paulo, Brazil, May 8, 2017, and International Workshop, A-HEALTH 2017, Porto, Portugal, June 21, 2017, Revised and Extended Selected Papers, Springer, 2017, Vol. 10685, s. 94-116Konferensbidrag (Refereegranskat)
    Abstract [en]

    Supporting human actors in daily living activities for improving health and wellbeing is a fundamental goal for assistive technology. The personalisation of the support provided by assistive technology in the form of digital coaching requires user models that handle potentially conflicting goals and motives. The aim of this research is to extend a motivational model implemented in an assistive technology, into a multipurpose motivational model for the human actor who is to be supported, which can be translated into a multipurpose goal model for a team of assistive agents. A team of assistive agents is outlined with supplementary goals following the human’s different properties. A method for generating multipurpose arguments relating to different motives were developed, and implemented in a human-agent dialogue system. The results are exemplified based on a use case from an earlier pilot user study of the assistive technology. Future work includes user studies to validate the model.

  • 3.
    Baskar, Jayalakshmi
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Cognitive Architecture of an Agent for Human-Agent Dialogues2014Ingår i: Highlights of Practical Applications of Heterogeneous Multi-Agent Systems: the PAAMS Collection, Springer, 2014, Vol. 430, s. 89-100Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper proposes a cognitive architecture of an intelligent agent that can have a dialogue with a human agent on health-related topics. This architecture consists of four main components, namely, the Belief Base, the Dialogue Manager, the Task Manager and the Plan Generator. Each component has sub-components that perform a set of tasks for the purpose to enable the agent to be enrolled in a dialogue. In this paper the particular sub-component of the Dialogue Manager, the Dialogue Strategy has been discussed in detail. A notion of scheme is introduced, which functions as a template with variables that are instantiated each time a state is entered. The agent’s dialogue strategy is implemented as a combination of the schemes and the state transitions that the agent makes in response to the human’s request. We used a combination of finite-state and agent-based dialogue strategies for dialogue management. This combined dialogue strategy enables a multi-topic dialogue between a human and an agent.

  • 4.
    Baskar, Jayalakshmi
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Human-Agent Dialogues and Their Purposes2017Ingår i: Proceedings of the European Conference on Cognitive Ergonomics 2017, New York, NY, USA: ACM Digital Library, 2017, s. 101-104Konferensbidrag (Refereegranskat)
    Abstract [en]

    A common conversation between an older adult and a nurse about health-related issues includes topics such as troubles with sleep, reasons for walking around nighttime, pain conditions, etc. Such a dialogue can be regarded as a "natural" dialogue emerging from the participating agents' lines of thinking, their roles, needs and motives, while switching between topics as the dialogue unfolds. The purpose of this work is to define a generic conceptual model of purposeful human-agent dialogue activity including different types of argumentation dialogues, suitable for health-related topics. This is done based on analyses of a scenario, persona and models of human behaviour. The model will be shared between the human and the agent, allowing for adaptation to the human's reasoning, needs and motives.

  • 5.
    Baskar, Jayalakshmi
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Human-Agent Dialogues on Health Topics - An Evaluation Study2015Ingår i: Highlights of practical applications of agents, multi-agent systems, and sustainability: The PAAMS Collection, PAAMS 2015, 2015, s. 28-39Konferensbidrag (Refereegranskat)
    Abstract [en]

    A common conversation between an older adult and a nurse about health-related issues includes topics such as troubles with sleep, reasons for walking around nighttime, pain conditions, etc. This dialogue emerges from the participating human's lines of thinking, their roles, needs and motives, while switching between topics as the dialogue unfolds. This paper presents a dialogue system that enables a human to engage in a dialogue with a software agent to reason about health-related issues in a home environment. The purpose of this work is to conduct a pilot evaluation study of a prototype system for human-agent dialogues, which is built upon a set of semantic models and integrated in a web application designed for older adults. Focus of the study was to receive qualitative results regarding purpose and content of the agent-based dialogue system, and to evaluate a method for the agent to evaluate its behavior based on the human agent's perception of appropriateness of moves. The participants include five therapists and 11 older adults. The results show users' feedback on the purpose of dialogues and the appropriateness of dialogues presented to them during the interaction with the software agent.

  • 6.
    Baskar, Jayalakshmi
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Semantic model for adaptive human-agent dialogues2014Manuskript (preprint) (Övrigt vetenskapligt)
    Abstract [en]

    A common conversation between an older adult and a nurse about health-related issues includes topics such as troubles with sleep, reasons for walking around nighttime, pain conditions, etc. Such a dialogue can be regarded as a "natural" dialogue emerging from the participating agents' lines of thinking, their roles, needs and motives, while switching between topics as the dialogue unfolds. The purpose of this work is to define a generic model of purposeful human-agent dialogues suitable for health-related topics. This is done based on analyses of scenarios, personas and models of human behavior. The results include four models, which need to be included in a software agent's belief base; i) a user model, ii) a model of the domain knowledge related to the topic of the dialogue, iii) an agent model, and iv) a dialogue activity model. The models were implemented into a prototype system for human-agent dialogues, which was evaluated by therapists and a group of older adults.

  • 7.
    Baskar, Jayalakshmi
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Towards personalised support for monitoring and improving health in risky environments2013Ingår i: VIII Workshop on Agents Applied in Health Care (A2HC), 2013, s. 93-104Konferensbidrag (Refereegranskat)
  • 8.
    Baskar, Jayalakshmi
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Surie, Dipak
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Yan, Chunli
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Yekeh, Farahnaz
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Personalisation and user models for support in daily living2012Ingår i: The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS), 14–15 May 2012 / [ed] Lars Karlsson, Julien Bidot, 2012, s. 7-16Konferensbidrag (Refereegranskat)
    Abstract [en]

    In recent years, the interest in developing personalised applications for home environment has grown since it has a wide reach in helping people in their daily activities. However, for our purposes the concept activities of daily living also need to include work and leisure activities not necessarily performed in home environments. In this article, we describe an ongoing effort to develop a generic framework for assessing ability and tailoring of support applications in the health domain. We also give an overview of the approaches that have been adopted for personalisation and user modelling to various application areas. Suggestions of future development are provided.

  • 9.
    Baskar, Jayalakshmi
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Yan, Chunli
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    User's control of personalised intelligent environments supporting health2013Ingår i: Intelligent Environments (IE), 2013 9th International Conference on, IEEE Computer Society, 2013, s. 270-273Konferensbidrag (Refereegranskat)
    Abstract [en]

    This research project aims at supporting workers in the mining and construction industries and older adults at home, in monitoring the risks of their daily work or living situation. A goal is to create awareness in the individual about risks and how to decrease risks. Methods and knowledge-based applications are developed, which synthesise knowledge about the user, the user’s activities, the environment and generic domain knowledge for the purpose of providing tailored support and advice to individuals. This knowledge is also what the user can relate to, interact with and control through different methods. In this paper we investigate different approaches to user control of intelligent environments and propose a dialogue-based method for user control.

  • 10.
    Baskar, Jayalakshmi
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Yan, Chunli
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Instrument-Oriented Approach to Detecting and Representing Human Activity for Supporting Executive Functions and Learning2017Ingår i: Proceedings of the European Conference on Cognitive Ergonomics 2017, New York, NY, USA: ACM Digital Library, 2017, s. 105-112Konferensbidrag (Refereegranskat)
    Abstract [en]

    The goal of this study is to develop a computer-interpretable model for activity detection and representation, based on existing informal models of how humans perform activity. Appropriate detection of purposeful human activity is an essential functionality of active assistive technology aiming at providing tailored support to individuals for improving activity performance and completion. The main contribution is the design of a model for detection and representation of human activities based on three categories of instruments, which is implemented as two generic and supplementary terminology models: an event ontology and a core ontology. The core ontology is extended for each new knowledge domain into a domain ontology. The model builds the base for personalization of services generated by the cooperative reasoning performed by a human collaborating with an intelligent and social software agent. Ongoing and future work includes user studies in the different application domains.

  • 11.
    Blusi, Madeleine
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap. Umeå universitet, Medicinska fakulteten, Institutionen för samhällsmedicin och rehabilitering, Arbetsterapi.
    Nilsson, Ingeborg
    Umeå universitet, Medicinska fakulteten, Institutionen för samhällsmedicin och rehabilitering, Arbetsterapi.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Older adults co-creating meaningful individualized social activities online for healthy ageing2018Ingår i: Building continents of knowledge in oceans of data: The future of co-created eHealth / [ed] Adrien Ugon, Daniel Karlsson, Gunnar O. Klein, Anne Moen, IOS Press, 2018, Vol. 247, s. 775-779Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Social isolation and loneliness among older people is a growing problem with negative effects on physical and mental health. In co-creation with older adults individualized social activities were designed where older adults through computer mediated communication were able to participate in social activities without leaving their homes. Four types of activities were designed; outdoor activity, music event, visiting a friend and leisure activity. A participatory action research design was applied, where end users together with scientists from two research fields developed, tested and evaluated online participation in the activities. Usability and safety of the systems were major concerns among older adults. The evaluation pointed out that level of simplicity, usability and audio-video quality determined the level of satisfaction with the human interaction during the activity, thereby affecting the meaningfulness of the activity. The research presented in this paper constitutes the first step in a long-term research process aiming at developing a digital coaching system that gives older adults personalized support for increasing participation in meaningful social activities.

  • 12.
    Danielsson, Karin
    et al.
    Umeå universitet, Samhällsvetenskapliga fakulteten, Institutionen för informatik.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Mulvenna, Maurice
    Computer Science, Ulster University.
    Nilsson, Ingeborg
    Umeå universitet, Medicinska fakulteten, Institutionen för samhällsmedicin och rehabilitering, Arbetsterapi.
    Waterworth, John
    Umeå universitet, Samhällsvetenskapliga fakulteten, Institutionen för informatik.
    Digital technology in healthcare and elderly care2017Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    The focus of this ECCE 2017 panel is on digital technology in healthcare and elderly care. The discussion concerns the design of technology and the use of technology for health. 

  • 13.
    Eklund, Patrik
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Eriksson, S
    Umeå universitet, Medicinska fakulteten, Institutionen för samhällsmedicin och rehabilitering.
    Karlsson, Johan
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Näslund, Annica
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Software development and maintenance strategies for guideline implementation2001Ingår i: EUNITE-Workshop: intelligent systems in patient care, Austrian Computer Society , 2001, s. 26-45Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper we discuss various software engineering aspects of guideline computerisation, both from domain oriented as well as technology driven points of view. The discussion includes case studies on pharmacological treatment of hypertension, diagnosis of dementia, and drug interactions.

  • 14.
    Eklund, Patrik
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Helgesson, Robert
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Towards refining clinical evidence using general logics2008Ingår i: Artificial Intelligence and Soft Computing – ICAISC 2008: 9th International Conference Zakopane, Poland, June 22-26, 2008, Proceedings, Springer , 2008, s. 1029-1040Konferensbidrag (Refereegranskat)
    Abstract [en]

    Clinical knowledge building upon evidence-based medicine is typically represented in textual guidelines, thus providing a rather informal description from a logical point of view. Further, the context which provides utility of these guidelines is not specified in any detail with respect to workflow and underlying motivations for decision-making. In addition, the level of detail is mostly static in the sense that measurements and decision values are fixed and intended for specific user groups. There is thus a lack of flexibility which disables knowledge to be shifted coherently between user levels in the entire workflow and decision process. In this paper, we will discuss formalizations of the underlying logical structures of guidelines from the viewpoint of being represented appropriately at each user level. Further, to establish a formal correctness criterion, the shift from one level of representation to another is required to be morphic in the categorical sense. General logics [6] is the selected generalized, and categorical, framework for our approach to flexible guideline representation. Our medical scope is dementia differential diagnosis based on consensus guidelines [2], and we focus on types of cognitive disorders as a prerequisite for further diagnostic tasks.

  • 15.
    Eklund, Patrik
    et al.
    Umeå universitet, Teknisk-naturvetenskaplig fakultet, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskaplig fakultet, Institutionen för datavetenskap.
    Towards Dementia Diagnosis Logic2006Ingår i: 11th Int. Conf. Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU'06), Paris: Editions EDK , 2006, s. 1251-1257Konferensbidrag (Refereegranskat)
    Abstract [en]
    Historical motivations for classification systems in health care are requirements of data collections for statistics. Aims to unify data collections eventually becomes a starting point for nomenclature and ontology developments. Diagnosis encoding plays an important role in shifting the paradigm from providing statistics to making decisions. For logic and decision support the situation is non-trivial as nomenclatures continuously change and diagnostic categories are extended. Further, management of both phenomenology and etiology in differential diagnosis requires organisation and logical structure of information modalities and disease taxonomies. In this paper we provide a logical analysis of a diagnostic manual dividing mental disorders into disorder types. The subdivision is based on criteria (rule) sets and defining features (facts). Our focus is on dementia and we show and compare how particular underlying logic for encoding the dementia classifier can manage heterogeneity of individuals sharing a diagnosis and manyvaluedness of truth regarding diagnosis of boundary cases.
  • 16.
    Guerrero, Esteban
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Practical reasoning about complex activities2017Ingår i: Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection / [ed] Yves Demazeau, Paul Davidsson, Javier Bajo, Zita Vale, Cham: Springer International Publishing AG , 2017, s. 82-94Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper, we present an argument-based mechanism to generate hypotheses about belief-desire-intentions on dynamic and complex activities of a software agent. We propose to use a composed structure called activity as unit for agent deliberation analysis, maintaining actions, goals and observations of the world always situated into a context. Activity transformation produces changes in the knowledge base activity structure as well in the agent’s mental states. For example, in car driving as a changing activity, experienced and novice drivers have a different mental attitudes defining distinct deliberation processes with the same observations of the world. Using a framework for understanding activities in social sciences, we endow a software agent with the ability of deliberate, drawing conclusion about current and past events dealing with activity transformations. An argument-based deliberation is proposed which progressively reason about activity segments in a bottom-up manner. Activities are captured as extended logic programs and hypotheses are built using an answer-set programming approach. We present algorithms and an early-stage implementation of our argument-based deliberation process.

  • 17.
    Guerrero, Esteban
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    ALI, an ambient assisted living system for supporting behavior change2013Ingår i: VIII Workshop on Agents Applied in Health Care (A2HC 2013), 2013, s. 81-92Konferensbidrag (Refereegranskat)
  • 18.
    Guerrero, Esteban
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    ALI, an Assisted Living System Based on a Human-Centric Argument-Based Decision Making Framework2013Ingår i: 13th Workshop on Computational Models of Natural Arguments (CMNA 2013), 2013, s. 46-51Konferensbidrag (Refereegranskat)
  • 19.
    Guerrero, Esteban
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lu, Ming-Hsin
    Yueh, Hsiu-Peng
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Designing and evaluating an intelligent augmented reality system for assisting older adults’ medication management2019Ingår i: Cognitive Systems Research, ISSN 2214-4366, E-ISSN 1389-0417, Vol. 58, s. 278-291Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Intelligent Assistive Systems (IASs) provide personalised support to individuals to increase their autonomy and competence in performing activities. The personalisation of such technology represents a particular challenge, for the individuals abilities typically change over time. The aim of this research was to explore a theory-based, activity-centred framework for the development of IASs that both facilitate the active involvement of caregivers and target users and allow for adaptation to the individual over time.

    Medication management was focused on as a case study. Three older adults and two caregivers were involved in a co-design process of an IAS prototype system, the MED-AR, which uses projection-based augmented reality as the user interface technology. The theoretical framework for the design and evaluation of the MED-AR was activity theory. For the decision-making process of the MED-AR, formal argumentation theory was used. The major contributions of the study are (i) a formal framework for understanding the level of independence in activities and the way an IAS can tailor support to an individual and a situation, including caregivers; and (ii) a model for involving older adults and caregivers in a co-design process in the first phases of developing IASs.

    Publikationen är tillgänglig i fulltext från 2021-08-06 00:00
  • 20.
    Guerrero, Esteban
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    ALI: an assisted living system for persons with mild cognitive impairment2013Ingår i: 2013 IEEE 26th International symposium on computer-based medical systems (CBMS), 2013, s. 526-527Konferensbidrag (Refereegranskat)
    Abstract [en]

    We introduce the Assisted Living system ALI, which is a novel approach to providing assistance and support in activities of daily life. We integrate a human behavior theory with a default reasoning decision making framework. This integration allows us to model a decision making problem from a human activity centric point of view and at the same time, formalize these elements using a possibilistic argumentation theory. ALI sends personalized notifications suggesting the most suitable activities to perform and determines what activities were performed during a time period.

  • 21.
    Guerrero, Esteban
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    ALI: an Assisted Living System for Persons with Mild Cognitive Impairment2013Ingår i: 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2013), IEEE Computer Society, 2013, s. 526-527Konferensbidrag (Refereegranskat)
    Abstract [en]

    We introduce the Assisted Living system ALI, which is a novel approach to providing assistance and support in activities of daily life. We integrate a human behavior theory with a default reasoning decision making framework. This integration allows us to model a decision making problem from a human activity centric point of view and at the same time, formalize these elements using a possibilistic argumentation theory. ALI sends personalized notifications suggesting the most suitable activities to perform and determines what activities were performed during a time period.

  • 22.
    Guerrero, Esteban
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    An activity-centric argumentation framework for assistive technology aimed at improving health2016Ingår i: Argument & Computation, ISSN 1946-2174, Vol. 7, nr 1, s. 5-33Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Tailoring assistive systems for guiding and monitoring an individual in daily living activities is a complex task. This paper presents ALI, an assistive system combining a formal possibilistic argumentation system and an informal model of human activity: the Cultural-Historic Activity Theory, facilitating the delivery of tailored advices to a human actor. We follow an activity-centric approach, taking into consideration the human’s motives, goals and prioritized actions. ALI tracks a person in order to I) determine what activities were performed over a period of time (activity recognition tracking), and II) send personalized notifications suggesting the most suitable activities to perform (decision-making monitoring). The ALI system was evaluated in a formative pilot study related to promote social activities and physical exercise.

  • 23.
    Guerrero, Esteban
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Arguing through the well-founded semantics: an argumentation engine2014Artikel i tidskrift (Refereegranskat)
  • 24.
    Guerrero, Esteban
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Semantic-based construction of arguments: an answer set programming approach2015Ingår i: International Journal of Approximate Reasoning, ISSN 0888-613X, E-ISSN 1873-4731, Vol. 64, s. 54-74Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In this paper, we introduce an argumentation approach which takes an extended logic program as input and gives a set of arguments with the respective disagreements among them as output. We establish the notion of an argument under the Well-Founded semantics and Stable semantics inferences, allowing us to identify arguments with stratified programs as support, even when the input for the argument engine is a non-stratified program. We propose a set of rationality postulates for argument-based systems under extended logic programs, which are based on a definition of closure for a set of clauses that consider the well-known Gelfond-Lifschitz reduction. We establish the conditions under which our approach satisfies these principles. In addition, we present a standalone argumentation-tool based on the XSB system which implements our argumentation approach.

  • 25.
    Guerrero, Esteban
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Sandlund, Marlene
    Umeå universitet, Medicinska fakulteten, Institutionen för samhällsmedicin och rehabilitering, Fysioterapi.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Activity qualifiers in an argumentation framework as instruments for agents when evaluating human activity2016Ingår i: Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection: 14th International Conference, PAAMS 2016, Sevilla, Spain, June 1-3, 2016, Proceedings / [ed] Yves Demazeau, Takayuki Ito, Javier Bajo, Maria José Escalona, Springer, 2016, Vol. 9662, s. 133-144Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    Theoretical frameworks have been developed for enabling software agents to evaluate simple activities such as walking and sitting. However, such frameworks typically do not include methods for how practically dealing with uncertain sensor information. We developed an argument-based method for evaluating complex goal-based activities by adapting two qualifiers: Performance and Capacity defined in the health domain. The first one evaluates what a person does, and the second one how "well" or "bad" an activity is executed. Our aim is to deal with uncertainty and inconsistent information; generate consistent hypotheses about the activity execution; and resemble an expert therapist judgment, where an initial hypothesis assessment can be retracted under new evidence. We conducted a pilot test in order to evaluate our approach using a Physiotherapy assessment test as a goal-based activity. Results show that skeptic argumentation semantics are may be useful for discriminating individuals without physical issues by considering Performance and Capacity; conversely, credulous semantics may be suitable for obtaining information in the evaluation of activity, which an intelligent agent may use for providing personalized assistance in an ambient assisted living environment.

  • 26.
    Guerrero, Esteban
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Sandlund, Marlene
    Umeå universitet, Medicinska fakulteten, Institutionen för samhällsmedicin och rehabilitering, Fysioterapi.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Activity qualifiers using an argument-based construction2018Ingår i: Knowledge and Information Systems, ISSN 0219-1377, E-ISSN 0219-3116, Vol. 54, nr 3, s. 633-658Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Based on an argumentation theory approach, we present a novel method for evaluating complex goal-based activities by generalizing a notion of qualifier defined in the health domain. Three instances of the general qualifier are proposed: Performance, Actuation and Capacity; the first one evaluates what a person does, the second how an individual follows an action plan, and the third one how "well" or "bad" an activity is executed. Qualifiers are intended to be used by autonomous systems for evaluating human activity. We exemplify our approach using a health domain assessment protocol. Main results of this test show a partial correlation between ambiguities assessed by experts and our argument-based approach; and a multi-dimensional perspective how an activity is executed when a combined evaluation of qualifiers is used. This last outcome was interesting for some therapists consulted. Results also show differences between values of qualifiers using different argumentation semantics; two scenarios were proposed by therapist for using different semantics: preliminary activity screening and time-span follow-up evaluation.

  • 27.
    Janols, Rebecka
    et al.
    Umeå universitet, Medicinska fakulteten, Institutionen för samhällsmedicin och rehabilitering.
    Guerrero, Esteban
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    A Pilot Study on Personalised Coaching to Increase Older Adults' Physical and Social Activities2017Ingår i: Ambient Intelligence - Software and Applications - 8th International Symposium on Ambient Intelligence (ISAmI 2017) / [ed] Juan F. De Paz, Vicente Julián, Gabriel Villarrubia, Goreti Marreiros, Paulo Novais, Springer, 2017, Vol. 615, s. 140-148Konferensbidrag (Refereegranskat)
    Abstract [en]

    The aim of this research is to conduct a pilot study of a prototype that provides feedback using theory-based motivating messages developed by older adults, in a context of every day activities that include both physical and social activities. The prototype mobile application integrated the messages, a motivational model, and a personalization module that selects motivational messages based on preferences, motivational profile and the situation. The four participating older adults used the application for planning and following up social and physical activities. They found the messages entertaining and appreciated the dialogues with the application. They used the dialogues primarily to reinforce their satisfaction regarding conducted activities and did not necessarily tell the truth about conduced activities in the interaction with the application. The results are preliminary, but give valuable implications for further development of the personalisation module towards more purposeful use of ambient information, and aspects to explore in future user studies.

  • 28.
    Janols, Rebecka
    et al.
    Umeå universitet, Medicinska fakulteten, Institutionen för samhällsmedicin och rehabilitering, Arbetsterapi.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    A method for co-designing theory-based behaviour change systems for health promotion2017Ingår i: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 235, s. 368-372Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    A methodology was defined and developed for designing theory-based behaviour change systems for health promotion that can be tailored to the individual. Theories from two research fields were combined with a participatory action research methodology. Two case studies applying the methodology were conducted. During and between group sessions the participants created material and designs following the behaviour change strategy themes, which were discussed, analysed and transformed into a design of a behaviour change system. Theories in behavioural change and persuasive technology guided the data collection, data analyses, and the design of a behaviour change system. The methodology has strong emphasis on the target group's participation in the design process. The different aspects brought forward related to behaviour change strategies defined in literature on persuasive technology, and the dynamics of these are associated to needs and motivation defined in literature on behaviour change. It was concluded that the methodology aids the integration of theories into a participatory action research design process, and aids the analyses and motivations of design choices.

  • 29.
    Kampik, Timotheus
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Coercion and deception in persuasive technologies2018Ingår i: Proceedings of the 20th International Trust Workshop / [ed] Robin Cohen, Murat Sensoy, Timothy J. Norman, CEUR-WS , 2018, s. 38-49Konferensbidrag (Refereegranskat)
    Abstract [en]

    Technologies that shape human behavior are of high societal relevance, both when considering their current impact and their future potential. In information systems research and in behavioral psychology, such technologies are typically referred to as persuasive technologies. Traditional definitions like the ones created by Fogg, and Harjumaa and Oinas-Kukkonen, respectively, limit the scope of persuasive technology to non-coercive, non-deceptive technologies that are explicitly designed for persuasion. In this paper we analyze existing technologies that blur the line between persuasion, deception,and coercion. Based on the insights of the analysis, we lay down an updated definition of persuasive technologies that includes coercive and deceptive forms of persuasion. Our definition also accounts for persuasive functionality that was not designed by the technology developers. We argue that this definition will help highlight ethical and societal challenges related to technologies that shape human behavior and encourage research that solves problems with technology-driven persuasion. Finally, we suggest multidisciplinary research that can help address the challenges our definition implies. The suggestions we provide range from empirical studies to multi-agent system theory.

  • 30.
    Kampik, Timotheus
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Empathic autonomous agents2019Ingår i: Engineering multi-agent systems: 6th international workshop, EMAS 2018, Stockholm, Sweden, July 14-15, 2018, revised selected papers / [ed] Danny Weyns, Viviana Mascardi and Alessandro Ricci, Cham: Springer, 2019, 6, s. 181-201Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Identifying and resolving conflicts of interests is a key challenge when designing autonomous agents. For example, such conflicts often occur when complex information systems interact persuasively with humans and are in the future likely to arise in non-human agent-to-agent interaction. We introduce a theoretical framework for an empathic autonomous agent that proactively identifies potential conflicts of interests in interactions with other agents (and humans) by considering their utility functions and comparing them with its own preferences using a system of shared values to find a solution all agents consider acceptable. To illustrate how empathic autonomous agents work, we provide running examples and a simple prototype implementation in a general-purpose programing language. To give a high-level overview of our work, we propose a reasoning-loop architecture for our empathic agent.

  • 31.
    Kampik, Timotheus
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Implementing Argumentation-enabled Empathic Agents2018Ingår i: Multi-Agent Systems: 16th European Conference, EUMAS 2018, Bergen, Norway, December 6–7, 2018, Revised Selected Papers / [ed] Slavkovik, Marija, Springer Berlin/Heidelberg, 2018, s. 140-155Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    In a previous publication, we introduced the core concepts of empathic agents as agents that use a combination of utility-based and rule-based approaches to resolve conflicts when interacting with other agents in their environment. In this work, we implement proof-of-concept prototypes of empathic agents with the multi-agent systems development framework Jason and apply argumentation theory to extend the previously introduced concepts to account for inconsistencies between the beliefs of different agents. We then analyze the feasibility of different admissible set-based argumentation semantics to resolve these inconsistencies. As a result of the analysis we identify the maximal ideal extension as the most feasible argumentation semantics for the problem in focus.

    Publikationen är tillgänglig i fulltext från 2020-01-01 00:00
  • 32.
    Kampik, Timotheus
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Nieves, Juan Carlos
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Towards empathic autonomous agents2018Ingår i: / [ed] Viviana Mascardi, Alessandro Ricci, Danny Weyns, 2018Konferensbidrag (Refereegranskat)
    Abstract [en]

    Identifying and resolving conflicts of interests is a key challenge when designing autonomous agents. For example, such conflicts often occur when complex information systems interact persuasively with humans and are in the future likely to arise in non-human agent-to-agent interaction. We work towards a theoretical framework for an empathic autonomous agent that proactively identifies potential conflicts of interests in interactions with other agents (and humans) byl earning their utility functions and comparing them with its own preferences using a system of shared values to find a solution all agents consider acceptable.To provide a high-level overview of our work, we propose a reasoning-loop architecture to address the problem in focus. To realize specific components of the architecture, we suggest applying existing concepts in argumentation and utility theory. Reinforcement learning methods can be used by the agent to learn from and interact with its environment.

  • 33.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskaplig fakultet, Institutionen för datavetenskap.
    Activity Theoretical Evaluation of a Decision Support System for Dementia Care2003Ingår i: Proceedings of Medical Informatics in Europe (MIE 2003), CD-version, 2003Konferensbidrag (Refereegranskat)
    Abstract [en]
    Clinical decision support systems (CDSS) are developed for the purpose of supporting the user’s cognitive processes and generating a higher quality of medical care. A critical phase in the development process is the implementation of a system into clinical practice. In the view of Activity theory the system will not be complete and meaningful to evaluate until it meets praxis. In the development of a CDSS for dementia care an evaluation was made of a prototype system where general practitioners were observed using the system and interviewed. The results of the evaluation was analyzed according to the framework of Activity theory, in order to obtain a better understanding of reasons for failure and success in the process of implementing a decision support system into clinical practice.
  • 34.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskaplig fakultet, Institutionen för datavetenskap.
    Activity-Theoretical Model as a Tool for Clinical Decision-Support Development2006Ingår i: Poster Proc. EKAW 2006 - 15th International Conference on Knowledge Engineering and Knowledge Management, 2006Konferensbidrag (Refereegranskat)
    Abstract [en]
    Clinical investigation activities are complex processes, which are situated, emergent and directed by the individual need of the patient, but also restricted or enhanced by the available resources at different points in the process. For the purpose of creating a system which provides support throughout the investigation process, i.e. functioning as a cognitive tool for the user, the clinical investigation process needs to be assessed and formalized. The presented work is based on analyzes of the domain knowledge and case studies of investigations of actual patients and provides a conceptual model for a clinical investigation activity. The framework of cultural-historical activity theory was used for the interpretation of the data and the model is used for identifying which actions are appropriate for formalization in a decisionsupport system.
  • 35.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskaplig fakultet, Institutionen för datavetenskap.
    Assessment of Clinical Activity for Decision-Support Development2006Rapport (Övrigt vetenskapligt)
  • 36.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Collaborative and Distributed Guideline Modeling in the dementia domain: an evaluation study of ACKTUS2010Ingår i: MEDINFO 2010: Proceedings of the 13th World Congress on Medical Informatics / [ed] Edited by C. Safran, S. Reti, H.F. Marin, Amsterdam: IOS Press , 2010, Vol. 160Konferensbidrag (Refereegranskat)
  • 37.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskaplig fakultet, Institutionen för datavetenskap.
    Collaborative Knowledge Building for Decision-Support System Development2008Ingår i: Human-Computer Interaction Symposium (HCIS2008) : IFIP World Computer Congress 2008 (WCC 2008), Berlin/Heidelberg: Springer , 2008, s. 201-206Konferensbidrag (Refereegranskat)
    Abstract [en]
    The clinical domain of cognitive diseases and dementia is recognized by its highly complex knowledge domain, requiring expertise and experience in handling situations with a variety of symptoms and diseases, distributed over different levels in organizations and different professions. In this paper a pilot study is presented where eight experienced physicians in Sweden and Japan used an early prototype of the decision-support system DMSS (Dementia Management and Support System) in one to five well-known patient cases each. The prototype functioned as a mediator of a reflective conceptual artifact, i.e., the current understanding of the activity in focus in each patient case. The aim was to develop a common understanding of the clinical domain knowledge, differences in local process knowledge, needs for support and interactivity, by using the prototype as mediator. The physicians were observed using the system and interviewed individually and in groups. Results include adjustments of knowledge sources, terminology and design of user interface, interaction and knowledge base.
  • 38.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Computer-Supported Diagnostic Reasoning in Dementia Care2012Ingår i: Sweden - Korea Dementia Forum 2012 / [ed] Daein Kang, 2012, s. 107-118Konferensbidrag (Övrig (populärvetenskap, debatt, mm))
  • 39.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskaplig fakultet, Institutionen för datavetenskap.
    Conceptual Model as a Tool for Assessing Knowledge in Decision-Support Development2007Ingår i: MEDINFO 2007 : Poster proceedings of the 12th World Congress on Health (Medical) Informatics, 2007Konferensbidrag (Refereegranskat)
    Abstract [en]
    In the development of a decision-support system the domain knowledge as well as the target work environment need to be assessed in order to capture the knowledge to be integrated in and provided by the system. This work describes the model used for the assessment, which is based on Activity theory and case studies of patients investigated concerning suspected dementia. The purpose is to investigate to what extent the theory is useful for the assessment and for transforming the informal knowledge into formal descriptions for knowledge representation and design of interaction. The resulting structure provides the data and their sorts and qualities, the tools that are used in assessing the data, the actions of transforming the data and contextual factors such as who is responsible for a certain action. The semi-formal structure can be transformed into a formal structure for representation by using the structure to identify requirements for formalisation languages.
  • 40.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskaplig fakultet, Institutionen för datavetenskap.
    Conceptual Model of Activity as Tool for Developing a Dementia Care Support System2008Ingår i: Knowledge Management in Action – WCC 2008, Berlin/Heidelberg: Springer , 2008, s. 97-109Konferensbidrag (Refereegranskat)
    Abstract [en]
    The clinical domain of cognitive diseases and dementia is recognized by its highly complex knowledge domain, requiring expertise and experience in handling situations with a variety of symptoms and diseases, distributed over different levels in organizations and different professions. In this paper a case study is presented where the process of investigating suspected dementia in patient cases were analyzed. An early prototype of the decision-support system DMSS (Dementia Management and Support System) was integrated in the process. The main aim for the case study was to capture and model the complex target activity for the purpose of knowledge acquisition and formalization in the development of a decision-support system for the domain. The resulting model is general, in that it captures structures and required knowledge at different levels of care, however, specific enough to provide a perception of use context and semi-formal base for further development of the system for different use environments, with different local solutions to work division, etc. The results are fed into the development of DMSS and the general activity analysis framework is being developed.
  • 41.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskaplig fakultet, Institutionen för datavetenskap.
    Decision support in dementia care: developing systems for interactive reasoning2007Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [sv]

    Demensvården i Sverige och i andra delar av världen har på olika sätt varit i fokus de senaste åren där man påtalat behovet att utveckla metoder och riktlinjer för hur vården ska bedrivas. Detta för att möta den växande andelen äldre människor som också utvecklar demenssjukdomar. Nationella projekt har drivits, företrädesvis i syfte att förbättra vård och omsorg av personer med demenssjukdom, men även för att förbättra diagnosticering och behandling. I denna avhandling beskrivs utvecklingen av det dator-baserade beslutsstödet för demensutredning, DMSS (Dementia Management and Support System), som syftar till att fungera som ett stöd för personer som arbetar med att diagnosticera och behandla personer med kognitiv sjukdom. Domänen valdes även på grund av dess komplicerade kunskapsinnehåll, där bland annat en spännvidd av olika typer av symptom, komplexa kliniska mätmetoder sett ur ett formaliseringsperspektiv, starkt teamorienterat arbetssätt, ställer krav på hur kunskap ska och är möjlig att formaliseras och integreras i ett beslutsstödsystem för att det ska bli användbart i kliniskt arbete. De olika studierna och delprojekten som beskrivs i avhandlingen syftar till att tillsammans skapa en grund för utveckling av ett kliniskt kognitivt verktyg som stödjer och utvecklar användarens kognitiva processer (lärande, beslutsfattande, resonemang, etc.), samtidigt som det stödjer utvecklingen av det kliniska arbetet vari systemet ingår. I detta arbete fokuseras demensutredning som applikationsomr åde.

    Analyser har gjorts av den vidare användarkontexten, resonemangsprocesser, domän- och processkunskapen uttryckt i evidensbaserad litteratur och integrerad i klinisk praktik, terminologier samt formaliseringstekniker som kan hantera domänkunskapens egenskaper och användarsituationens krav. Prototyper har utvecklats och utvärderats i en iterativ process i samarbete med domänexperter, för användande i klinisk praktik i Sverige och Japan. För dessa studier har kvalitativa metoder använts i syfte att fånga så många olika aspekter som möjligt angående formalisering och interaktion, samt av praktiska skäl då det funnits begränsad tillgång till expertanvändare och patienter. Triangulering av metoder har tillämpats för att validera resultat.

    Kliniska utredningsverksamheter är komplexa processer, som är situerade, emergenta och styrda av individens behov, men även begränsade eller möjliggjorda av tillgängliga resurser på olika vårdnivåer i vårdprocessen. Det behövs metoder och verktyg som kan användas vid utveckling av system som syftar till att stödja dessa verksamheter. Det finns exempel på metoder som utvecklats för transformation av informell klinisk kunskap till en formell struktur som kan implementeras i ett beslutsstödsystem, där verktyg har utvecklats primärt i syfte att hjälpa kliniska experter att transformera sin kunskap till något en systemutvecklare kan använda. Den största nackdelen med dessa angreppssätt är att de är tidskrävande för experterna att sätta sej in i och använda. En metod har tillämpats i detta arbete där en teoribildning, som är gemensam för flera forskningsområden, använts för att strukturera klinisk process- och domänkunskap i en form som kan användas i formaliseringsarbete. Den konceptuella modellen av kliniskt arbete som utvecklats är baserad på verksamhetsteorin, kompletterad med general logics som kategoriskt, formellt teoretiskt ramverk för att möjliggöra transformationer mellan olika logiska språk och flexibel representation av riktlinjer och kunskap. Genom att göra en grundlig verksamhetsanalys utifrån ett aktivitetsperspektiv med hjälp av modellen, kan komponenter identifieras som kan formaliseras i en kunskapsbas och/eller kompletteras genom en design och implementation av ett gränssnitt som stödjer ett interaktivt resonemang och den kliniska processen.

    Resultatet av verkamhetsanalys och andra studier som presenteras i denna avhandling kommer att ligga till grund för vidare utveckling av DMSS för olika användarmiljöer, till att börja med i Sverige och Japan. Extensioner av systemet kommer att utvecklas som stödjer de olika ingående professionerna på olika vårdnivåer. Den konceptuella modellen kommer att utvecklas och tillämpas i framtida utvecklingsprojekt där beslutsstöd är en central komponent. Det formella ramverket kommer att utvecklas i syfte att kunna analysera och förfina kunskap i perspektivet av exempelvis olika set av kliniska riktlinjer som ställer olika krav på komplexitet hos logiken. Stödet till ett interaktivt resonemang vid användandet av systemet ska utvecklas med en kunskapsbas och ett dynamiskt gränssnitt speciellt utformat för ändamålet.

    Hittills har i första hand kvalitativa aspekter och syften varit i fokus i de olika projekten. Därför behöver varje utvecklingslinje ytterligare utvecklas med kvantitativa mål. Utvidgade utvärderingsstudier pågår, som syftar till att undersöka fördelning mellan olika nivåer av komplexitet hos patienter och vilken typ av stöd som behövs för respektive. När systemet är integrerat i daglig verksamhet kan faktorer som hur användande av systemet påverkar användaren och verksamheten undersökas.

  • 42.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Decision support system supporting clinical reasoning process: an evaluation study in dementia care2008Ingår i: EHealth Beyond the Horizon: Get IT There - Proceedings of MIE2008 / [ed] Stig Kjaer Andersen, Gunnar O. Klein, Stefan Schulz, Jos Aarts, M. Cristina Mazzoleni, IOS Press, 2008, Vol. 136, s. 315-320Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper, a case study is presented in which an early prototype of a decision-support system was integrated in the process of investigating patients with suspected dementia and evaluated. The aims were to capture and model the complex target activity for the purpose of knowledge acquisition and formalization, and qualitatively evaluate the system's compliance with reasoning and work processes as part of the development of a decision-support system for the domain. The results show that contextual factors such as local routines in clinical practice motivate further development of the support integrated in the system for establishing preliminary diagnoses in the investigation process.

  • 43.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskaplig fakultet, Institutionen för datavetenskap.
    DIcog - A Decision Support System for Clinical Investigation of Cognitive Diseases2004Ingår i: Proc. AILS-04 Workshop, Lund: Lund University , 2004, s. 87-88Konferensbidrag (Refereegranskat)
    Abstract [en]
    In this paper a prototype system as a tool for clinical decision support in the domain of cognitive diseases is presented. The number of patients is increasing while the number of patients that the general practitioner (GP) meets in primary care still is too low to make the GP well trained in diagnostics and management of patients in the area of cognitive diseases. In addition, new treatment strategies are established in clinical routine directed towards cognitive deficiencies with behavioral and psychological symptoms in the presence of dementia (BPSD). Additional support is needed in the investigation process of cognitive diseases. The system DIcog supports the clinician by challenging, complementing and/or confirming the individual’s own reasoning; providing with reminders of additional factors to consider; and functioning as a common ground for consultations and teamwork. A combination of inference techniques is used in the system; if-then rules for typical patient’s cases and for atypical cases an argumentative reasoning approach, which is currently being developed for the domain of cognitive diseases.
  • 44.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Integrating clinical decision support system development into a development process of clinical practice: experiences from dementia care2011Ingår i: Artificial Intelligence in Medicine: 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2-6, 2011 / [ed] Mor Peleg, Nada Lavrac and Carlo Combi, Springer Verlag , 2011, s. 129-138Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper describes the process of developing the decision-support system DMSS (Dementia Management and Support System) and some lessons learned. An action research and participatory design approach has been adopted during development, with a strong research focus on optimizing support to physicians in dementia diagnosis assessment, involving a number of physicians and clinics in the process. A stand-alone version is currently used in 11 clinics distributed over four countries. Results from evaluation studies show that the system and the physician comply in 84,6% of the patient cases and that reasons for non-compliance lie primarily in physician’s insufficient knowledge. The impact the system has had on the individual physician’s diagnostic procedure in observation studies, factors identified enabling the integration and obstacles to use are presented and discussed. The system’s support for assessing basic cognitive functions is being improved, primarily as a feature for personalization of a future web-based version of DMSS.

  • 45.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Knowledge Artifacts as Tools to Communicate and Develop Knowledge in Collaborative User-Driven Design2012Ingår i: 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2012), IEEE Computer Society, 2012, s. 210-215Konferensbidrag (Refereegranskat)
    Abstract [en]

    We investigate an ongoing user-driven collaborative knowledge engineering and interaction design process. The anticipated outcomes are knowledge-based support applications for health care professionals and other actors in the dementia domain.The two major goals for the activity in focus are: 1) to accomplish international collaboration across organizational, language and professional boundaries in the modeling of knowledge and design of interaction, and 2) in a local community provide ICT support for collaboration and communication between organizations, increase knowledge development in individual actors and increase the quality of dementia care. The semantic web-based prototype system ACKTUS is introduced as a tool for modeling and communicating knowledge and interaction, and its role in the process is evaluated. The activity is organized as a part of a collaborative work between different organizations to develop their local clinical practice. Obstacles and success factors when enabling the endusers to design their own tools are detected and discussed.

  • 46.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Limitations in physicians' knowledge when assessing dementia diseases: an evaluation study of a decision-support system2011Ingår i: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 169, s. 120-124Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    There is a need to provide tools for the medical professional at the point of care in the assessment of a suspected dementia disease. Early diagnosis is important in order to provide appropriate care so that the disease does not cause unnecessary suffering for the patient and relatives. DMSS (Dementia Management and Support System) is a clinical decision-support system that provides support in the diagnosis of a dementia disease, which is in use in controlled clinical evaluation settings in four countries. This paper reports the results of evaluations done in use environments in these places during a period of two years. Data in 218 patient cases were collected by 21 physicians during their use of the system in clinical practice. In 50 of the cases the use of the system were also observed and the physicians were interviewed in 88 cases. The collected data and inferences made by the system were analyzed. To summarize the results, DMSS gave appropriate support considering the patient case, available information and the user's skills and knowledge in the domain. However, the results also illuminated the need for extended and personalized support for the less skilled physician in the assessment of basic information about patients.

  • 47.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskaplig fakultet, Institutionen för datavetenskap.
    Managing Knowledge in the Development of a Decision-Support System for the Investigation of Dementia2005Licentiatavhandling, monografi (Övrigt vetenskapligt)
  • 48.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Personalisation of internet-mediated activity support systems in the rehabilitation of older adults: a pilot study2009Ingår i: AIME 2009 International Workshop on Personalisation for e-Health / [ed] Floriana Grasso, Cécile Paris, 2009, s. 20-27Konferensbidrag (Refereegranskat)
    Abstract [en]

    The inclusion and autonomy of older people in the society where large parts of the life is organized with computer and Internet use as means is addressed in an ongoing project in the rehabilitation and health domains. Part from investigating the potentials of using ICT for rehabilitation of older people with limited or no computer skills, the aim for the project is to develop methods and tools for the purpose, and also for the interaction design domain where systems are developed for older people. This paper reports results from using activity theory and the notion of ZPD for prototype development and evaluation of decision and activity support systems as a common tool for the patient and professional in the rehabilitation process. The results include a protocol for capturing the users’ development of skills in Internet-mediated activity. The protocol is used for informing the design of the system in an iterative process.

  • 49.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Sociotechnical systems as innovation systems in the medical and health domain2013Ingår i: Context Sensitive Health Informatics: Human and Sociotechnical Approaches / [ed] Marie-Catherine Beuscart-Zéphir, Monique Jaspers, Craig Kuziemsky, Christian Nøhr, Jos Aarts, IOS Press, 2013, Vol. 194, s. 35-40Konferensbidrag (Refereegranskat)
    Abstract [en]

    It is argued that a development of healthcare systems should emerge within a healthcare providing organization and as part of daily practice instead of something implemented by a third party, in order to become successful. This sociotechnical view on system development is shared with new methods developed in the end-user development field. However, is it possible to realize this in practice? This paper explores the obstacles and potentials in the realization, leading to a discussion about sociotechnical systems as innovation systems. We describe two examples of sociotechnical innovation systems, and discuss the results from an end user driven innovation process perspective.

  • 50.
    Lindgren, Helena
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
    Towards context-based inquiry dialogues for personalized interaction2011Ingår i: Advances in practical applications of agents and multiagent systems / [ed] Yves Demazeau, Michal Pechoucek, Juan M. Corchado and Javier Bajo Pérez, Springer Berlin/Heidelberg, 2011, s. 151-161Konferensbidrag (Refereegranskat)
    Abstract [en]

    ACKTUS is a semantic web application for modeling knowledge to be integrated in support systems for health care, and for designing the interaction with the end user applications. This paper presents the ongoing work on integrating argument-based inquiry dialogues between agents that include contextual factors in the reasoning. Practical applications of agent-based and interactive dialogue systems are rare in the medical and health domain, partly due to its safety-critical nature. The purpose of the work presented in this paper is to demonstrate the added value a personalized dialogue system can provide a clinician in clinical practice in terms of learning and decision making as supplement to a regular decision-support system in the dementia domain.

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