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Building Collaborative Test Practices: Design Ethnography and WOz in Autonomous Driving Research
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS). Volvo Car Grp, Gothenburg, Sweden.
Volvo Car Grp, Gothenburg, Sweden.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0003-1870-683X
Faculty of Informat Technology, Monash Art Design & Architecture, Monash University, Melbourne, Australia..
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2018 (English)In: IxD&A: Interaction Design and Architecture(s), ISSN 1826-9745, E-ISSN 2283-2998, no 37, p. 12-20Article in journal (Refereed) Published
Abstract [en]

This article outlines a novel way of performing experimental "Wizard of Oz" (WOz) User Experience (UX) research that specifically targets driving in different levels of self-driving modes. The reasons for exploring the possibilities of combining experimental and ethnographic WOz-testing have been twofold. On the one hand, this mixed-method approach responds to a growing body of critique concerning how the WOz test is biased by the claim that it explores real-life behaviour in an experimental setting. On the other hand, our approach also meets the demands for innovative research methodologies that can contribute to deeper understandings of how to better evaluate and account for human expectations and experiences when automated technologies become integrated in everyday life contexts. This knowledge is inevitable for a broader understanding of the overall user experience and expectations of autonomous driving and, more specifically, building an interdisciplinary collaborative testing approach.

Place, publisher, year, edition, pages
Interaction Design & Architectures , 2018. no 37, p. 12-20
Keywords [en]
autonomous cars, user experience, design anthropology, future technology, mixed-method approach
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hh:diva-41489ISI: 000454047300002Scopus ID: 2-s2.0-85065482376OAI: oai:DiVA.org:hh-41489DiVA, id: diva2:1390810
Funder
Vinnova, 2016-02515Available from: 2020-02-03 Created: 2020-02-03 Last updated: 2020-02-03Bibliographically approved

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Osz, KatalinFors, Vaike

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CiteExportLink to record
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