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The Users' Mental Models' Effect on their Comprehension of Anonymous Credentials
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Psychology. Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT. Karlstad University, Faculty of Economic Sciences, Communication and IT, Service Research Center. (Centre for HumanIT)ORCID iD: 0000-0001-8102-8168
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT. (PriSec)ORCID iD: 0000-0002-6938-4466
2011 (English)In: Privacy and Identity Management for Life / [ed] Camenisch, J.; Fischer-Hübner, S.; Rannenberg, K., Heidelberg: Springer , 2011, p. 233-244Chapter in book (Other academic)
Abstract [en]

Anonymous Credentials are a key technology for enforcing data minimisation for online applications. The design of easily understandable user interfaces for the use of anonymous credentials is however a major challenge, as end users are not yet familiar with this rather new and complex technology and no obvious real-world analogies exist for them. In this chapter, we analyse what effects the users’ mental models have on their understanding of the data minimization property of anonymous credentials in the context of an e-Shopping application scenario. In particular, we have investigated the effects of the mental models of a card-based user interface approach and an attribute-based user interface approach and compared these in terms of errors of omission and addition. The results show that the card-based approach leads to significantly more errors of addition (i.e., users believe that they have disclosed more information than they actually have) whereas the attribute-based approach leads to more errors of omission (i.e., users underestimate the amount of data that they have disclosed).

Place, publisher, year, edition, pages
Heidelberg: Springer , 2011. p. 233-244
National Category
Psychology Computer Sciences Information Systems
Research subject
Psychology; Computer Science; Information Systems
Identifiers
URN: urn:nbn:se:kau:diva-10784DOI: 10.1007/978-3-642-20317-6_12ISI: 000293925500012ISBN: 9783642203169 (print)OAI: oai:DiVA.org:kau-10784DiVA, id: diva2:494339
Projects
PrimeLifeAvailable from: 2012-02-08 Created: 2012-02-08 Last updated: 2018-06-04Bibliographically approved

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Wästlund, ErikFischer-Hübner, Simone
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CiteExportLink to record
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