Investigating the Importance of Trust on Adopting an Autonomous Vehicle

By Jong Kyu Choi, Yong Gu Ji. International journal of human computer interactions, 2015

1,092 citations recorded by the source corpus.

Subfields: Automotive Engineering, Information Systems and Management, Social Psychology

View Paper: https://www.semanticscholar.org/paper/b9154928b5a44e283b5afd460708cdf8a17efdb8

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In Automotive Engineering

In Information Systems and Management

In Social Psychology

Citations in the corpus

Service robot implementation: a theoretical framework and research agenda (2019, background): “…social connections and uses; a driverless car does not need to look human but rather should be similar in appearance and function to other vehicles, so that human users sense that they can manipulateit asthey would a conventional car, and thusfeelmore trust in the technology (Choi & Ji, 2015).”
Factors influencing autonomous vehicle adoption: an application of the technology acceptance model and innovation diffusion theory (2020, background): “Furthermore, the TAM explains how users ’ beliefs about a technology are connected with its acceptance (Choi and Ji 2015).”
Trust in AI and Its Role in the Acceptance of AI Technologies (2022, result): “The finding is in line with studies that have tested the impact of these constructs on the adoption of various forms of technology (e.g., Beldad & Hegner, 2018; Choi & Ji, 2015).”
User Acceptance of Virtual Reality: An Extended Technology Acceptance Model (2020, positive): “Numerous studies have extended it to fit different technologies (e.g., Amoako-Gyampah, 2007; Choi & Ji, 2015), different contexts (Brown, Massey, Montoya-Weiss, & Burkman, 2002; Huang, Backman, Backman, & Moore, 2013), and different users (Elias, Smith, & Barney, 2012; Venkatesh & Morris, 2000).”
Recent Advancements in End-to-End Autonomous Driving Using Deep Learning: A Survey (2023, background): “Choi et al. [109] distinguish three types of conﬁdence in autonomous vehicles: transparency, which refers to the person’s ability to foresee and comprehend vehicle operation; technical competence, which relates to understanding vehicle performance; and situation management, which involves the…”
A multi-level model on automated vehicle acceptance (MAVA): a review-based study (2019, background): “…concerned about safety, are less afraid to drive in AVs and trust AVs more, and are more comfortable to allow a fully automated car to perform all driving tasks (Choi and Ji 2015; Kyriakidis, Happee, and De Winter 2015; Liu, Yang, and Xu 2019; Nazari, Noruzoliaee, and Mohammadian 2018; Regan et al.”