Trust and risky technologies: Aligning and coping with Tesla Autopilot

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Standard

Trust and risky technologies: Aligning and coping with Tesla Autopilot. / Koskinen, Kari; Lyyra, Antti; Mallat, Niina; Tuunainen, Virpi.

Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS 2019) . 2019.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Harvard

Koskinen, K, Lyyra, A, Mallat, N & Tuunainen, V 2019, Trust and risky technologies: Aligning and coping with Tesla Autopilot. julkaisussa Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS 2019) ., Grand Wailea, Yhdysvallat, 08/01/2019.

APA

Koskinen, K., Lyyra, A., Mallat, N., & Tuunainen, V. (2019). Trust and risky technologies: Aligning and coping with Tesla Autopilot. teoksessa Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS 2019)

Vancouver

Koskinen K, Lyyra A, Mallat N, Tuunainen V. Trust and risky technologies: Aligning and coping with Tesla Autopilot. julkaisussa Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS 2019) . 2019

Author

Koskinen, Kari ; Lyyra, Antti ; Mallat, Niina ; Tuunainen, Virpi. / Trust and risky technologies: Aligning and coping with Tesla Autopilot. Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS 2019) . 2019.

Bibtex - Lataa

@inproceedings{c457d965903d44bdb475adfc3fea4701,
title = "Trust and risky technologies: Aligning and coping with Tesla Autopilot",
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.",
author = "Kari Koskinen and Antti Lyyra and Niina Mallat and Virpi Tuunainen",
year = "2019",
language = "English",
booktitle = "Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS 2019)",

}

RIS - Lataa

TY - GEN

T1 - Trust and risky technologies: Aligning and coping with Tesla Autopilot

AU - Koskinen, Kari

AU - Lyyra, Antti

AU - Mallat, Niina

AU - Tuunainen, Virpi

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

M3 - Conference contribution

BT - Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS 2019)

ER -

ID: 30359519