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dc.contributor.authorStevens, Gunnar
dc.contributor.authorMeurer, Johanna
dc.contributor.authorPakusch, Christina
dc.contributor.authorBossauer, Paul
dc.date.accessioned2019-09-05T01:05:23Z
dc.date.available2019-09-05T01:05:23Z
dc.date.issued2019
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/25194
dc.description.abstractThe design of self-driving cars is one of the most exciting and ambitious challenges of our days and every day, new research work is published. In order to give an orientation, this article will present an overview of various methods used to study the human side of autonomous driving. Simplifying roughly, you can distinguish between design science-oriented methods (such as Research through Design, Wizard of Oz or driving simulator ) and behavioral science methods (such as survey, interview, and observation). We show how these methods are adopted in the context of autonomous driving research and dis-cuss their strengths and weaknesses. Due to the complexity of the topic, we will show that mixed method approaches will be suitable to explore the impact of autonomous driving on different levels: the individual, the social interaction and society.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2019 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.subjectAutonomous Driving
dc.subjectMethods
dc.subjectResearch through Design
dc.subjectWizard of Oz
dc.subjectDriving Simulator
dc.subjectSurvey
dc.subjectInterview
dc.subjectObservation
dc.titleInvestigating Car Futures from Different Anglesen
dc.typeText/Conference Poster
dc.pubPlaceBonn
mci.document.qualitydigidoc
mci.conference.sessiontitleMCI-WS15: 8th Workshop Automotive HMIs: UI Research in the Age of New Digital Realities
mci.conference.locationHamburg
mci.conference.date8.-11. September 2019
dc.identifier.doi10.18420/muc2019-ws-453


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