Trust and risky technologies: Aligning and coping with Tesla Autopilot

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

Research units

  • London School of Economics and Political Science

Abstract

Products are increasingly digitized, and they incorporate digital components, smart features and partial automation. Modern cars are a prime example of consumer-oriented automation; they sense the environment and perform specific driving tasks on the driver’s behalf. The driving assistance and safety features provided by automation are under constant development, and as these features evolve, drivers experience and learn about their capabilities as they use them and develop their trust in automation in the light of new experiences and information. In this paper, we present a study on how trust in car automation unfolds as users gain experiences and information that conflicts with their expectations concerning the level of automation. We use Tesla Model S car as our case technology and explore how its users develop their trust and cope with issues with the novel automation technology. Our findings suggest important directions for future research of consumer-oriented automation and digitized products.

Details

Original languageEnglish
Title of host publicationProceedings of the 52nd Hawaii International Conference on System Sciences (HICSS 2019)
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
EventAnnual Hawaii International Conference on System Sciences - Grand Wailea, United States
Duration: 8 Jan 201911 Jan 2019
Conference number: 52

Conference

ConferenceAnnual Hawaii International Conference on System Sciences
Abbreviated titleHICSS
CountryUnited States
CityGrand Wailea
Period08/01/201911/01/2019

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