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Work domain analysis of driving information
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Human Work Science.
Volvo.
Brunel University.
Brunel University.
2009 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

In order to drive in a safe and environmentally friendly manner a driver needs support on the skillbased, rule based and knowledge based level (Rasmussen, 1986). It can be argued that today's driverinformation mainly supports skill and rule based levels while the complex task of driving also needssupport on the knowledge based level, e.g. problem solving . The aim of this study was to identifyways to support problem solving and decision making in a driving information context and to studygaps, overlaps, strong and weak relations between the driver information functions and the purpose ofthe functions.Work Domain Analysis (WDA) (Vicente, 1999) was used to decompose the purpose of the driverinformation down to the component level. WDA is the first step of five in Cognitive Work Analysis(CWA). CWA belongs to the category of Ecological Interface Design that aims to aid the design ofhuman centred interfaces and systems that support problem solving and decision making in complexsocio-technical systems.The study was performed by researchers from Luleå University of Technology and Volvo Cars as wellas members of a Driving information project. The study was limited to driver information systems inprivate cars which means that the main purpose of the systems was to support drivers' goals e.g.navigate or maintain speed but also being environment friendly, etc. It should also be mentioned thatdriver information not only was limited to information within the car. Before and after driving was alsoincluded. The WDA identified five functional purposes of driving information: To support safe,efficient, environment friendly, legal and enjoyable transportation.The "Functional purpose" was decomposed into "abstract functions" e.g. support choice oftransportation, reduce energy exposure, improve friction, and maintain lateral and longitudinal distance.Further decomposition down to "physical form" showed several weak and some unexpected relationsbetween the purpose and the system. For instance, one conclusion was that the relation betweenspeedometer and safety was weak. The weak relations and the gaps then served as input for designimplications.In the design implications part it was concluded that planning could be improved in comparison withtoday's systems by e.g. internet services and pre- and post-trip information. New features in thenavigation system, such as route optimization based on safety or carbon footprint, could improve bothsafety and environmental friendliness. Feedback or Edutainment (Education by Entertainment) couldalso serve as a way to improve safety and green driving. A rather controversial and perhaps unrealisticsuggestion is that a private car could provide statistics or data about safety, environmental friendlinessor efficiency (Cost) for different types of transportation in order to make the choice of transportationoptimized.Another, more general conclusion is that the decomposition also showed the importance for a designerto ask the question "why?" when designing a product.

Place, publisher, year, edition, pages
2009.
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Engineering Psychology
Identifiers
URN: urn:nbn:se:ltu:diva-27417Local ID: 0dbdc580-ea1f-11de-bae5-000ea68e967bOAI: oai:DiVA.org:ltu-27417DiVA: diva2:1000601
Conference
World Congress on Ergonomics : 09/08/2009 - 14/08/2009
Note
Godkänd; 2009; 20091216 (biem)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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CiteExportLink to record
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