What Drivers Really Want: Investigating Dimensions in Automobile User Needs
2014 (English)In: International Journal of Design, ISSN 1991-3761, E-ISSN 1994-036X, Vol. 8, no 1, p. 59-71Article in journal (Refereed) Published
Abstract [en]
Understanding what users need, as opposed to what they say they need, can be a challenge. In order to better address users' true needs, two consecutive methods were used in this study: Future Workshops and Repertory Grid Technique. The Future Workshops-where 21 participants designed for two different future scenarios-opened up for inscribing need expressions and possibilities into five futuristic automobile concepts. These concepts were used as a basis for the Repertory Grid, a technique where users compare objects, describing properties that they find to be important or significant. In this study, 78 participants provided 390 constructs of properties, which were refined to 19 dimensions relevant to user needs. Two study measures, Evaluative Ability and Descriptive Richness, indicate which methods to use when exploring the need dimensions further. Finally, the analysis of the constructs and dimensions point towards how three aspects of vehicles and driving are emerging: how novel technology should, or should not, support driving; how the automobile can be seen as something else than just a means of transportation, and how an automobile could be a part of a greater collective of vehicles. © 2014 Gkouskos, Normark & Lundgren.
Place, publisher, year, edition, pages
Taiwan: National Taiwan University of Science and Technology , 2014. Vol. 8, no 1, p. 59-71
Keywords [en]
Automotive, Future workshop, Repertory grid, User experience, User needs, ability and descriptive richness, be used as a, experiences, indicate which methods to, means to create more, moreover, of the different needs, positive and customized user, relevance to design practice, since they inform designers, the dimensions, the measures for evaluative, the need dimensions can, use to further explore, users might have regarding, vehicle interactions
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:hh:diva-41156ISI: 000342864100005Scopus ID: 2-s2.0-84899864917OAI: oai:DiVA.org:hh-41156DiVA, id: diva2:1474624
2020-10-092020-10-092022-06-16Bibliographically approved