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Acceptans av Självkörande bilar: Faktorer som bidrar till att studenter i en ort i Västsverige accepterar självkörande bilar
University West, School of Business, Economics and IT, Divison of Informatics.
University West, School of Business, Economics and IT, Divison of Informatics.
2020 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The main purpose of the study was to analyze whether age, gender and integrity affect the acceptance of self-driving cars. The theoretical framework TAM (Technology AcceptanceModel) is used as a starting point for acceptance where we set our variables against Perceived Usefulness and Perceived Ease of Use that are the main variables in the model. A quantitative method has been applied and a survey was used for data collection. The survey was sent to 140 students. The response rate was 82 % involving a total of 116 respondents, of which 60 were women and 53 were men, where age ranged between 18-60 years old. The results of a T-test showed that there was a correlation between gender and acceptance of self-driving cars. The remaining variables could not be linked to acceptance in our study. The conclusion that we could make from this study was that there was a correlation between gender and acceptance of self-driving cars based on the cognitive mindset that is separated between the sexes.

Abstract [sv]

Det huvudsakliga syftet med studien var att analysera ifall ålder, kön och integritet påverkar acceptans av självkörande bilar. Det teoretiska ramverket TAM (Technology AcceptanceModel) används som utgångspunkt för acceptans där vi ställde våra variabler gentemot den Uppfattade Användbarheten och den Uppfattade Användarvänligheten som är huvudvariableri modellen. En kvantitativ metod har använts och där ett frågeformulär skickades till 140 studenter. Svarsfrekvensen låg på 82% där totalt 116 respondenter, varav 60 kvinnor och 53 män i åldrarna mellan 18–60. Resultatet från ett T-test visade att det fanns samband mellan kön och acceptans av självkörande bilar. Resterande variabler kunde inte kopplas till acceptans i studien. Slutsatsen vi kunde dra utifrån denna studie var att det fanns ett samband mellan kön och acceptans av självkörande bilar, baserat på det kognitiva tankesättet som skiljs åt mellan könen.

Place, publisher, year, edition, pages
2020. , p. 50
Keywords [en]
Acceptance, Self-driving cars, TAM-Model, Percevied Usefulness, Perceived Ease of Use, Human factors.
Keywords [sv]
Acceptans, Självkörande bilar, TAM-Model, Uppfattad Användbarhet, Uppfattad Användarvänlighet, Mänskliga faktorer
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hv:diva-15265Local ID: EXI500OAI: oai:DiVA.org:hv-15265DiVA, id: diva2:1447276
Subject / course
Informatics
Educational program
Systemutveckling - IT och samhälle
Supervisors
Examiners
Available from: 2020-07-20 Created: 2020-06-25 Last updated: 2020-07-24Bibliographically approved

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CiteExportLink to record
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