Why travelers trust and accept self-driving cars: An empirical study. (January 2021)
- Record Type:
- Journal Article
- Title:
- Why travelers trust and accept self-driving cars: An empirical study. (January 2021)
- Main Title:
- Why travelers trust and accept self-driving cars: An empirical study
- Authors:
- Du, Huiying
Zhu, Ge
Zheng, Jiali - Abstract:
- Highlights: Among 173 respondents, 84.4% of respondents are willing to use a driverless car. 4 level-perceptions: mass media, subjective norms & self-efficacy, trust, and adoption intention. Mass media has a significant influence on self-efficacy and subjective norms. Self-efficacy and subjective norms affect people's perception of trust in self-driving cars. Self-efficacy, subjective norms, and trust significantly affect the intention to use self-driving cars. Abstract: Automated vehicle technology is becoming increasingly mature with the development of Artificial Intelligence and information communications technology. It is important to understand the factors affecting the use of automated vehicles. This study investigates user acceptance and the willingness to use fully driverless cars (self-driving cars). Based on Social Cognitive Theory (SCT), we developed a new acceptance model to explore the impact of mass media on adopting self-driving cars. A survey was designed and distributed, and 173 responded. The results show that 84.4% of the respondents are willing to accept driverless cars. At this early stage, the reports from mass media significantly influence people's perception of self-driving cars. The media affect self-efficacy and subjective norms, and thereby people's trust and behavior change. Moreover, subjective norms, self-efficacy, and trust significantly influence their intention to use self-driving cars. This article provides practical guidance to promoteHighlights: Among 173 respondents, 84.4% of respondents are willing to use a driverless car. 4 level-perceptions: mass media, subjective norms & self-efficacy, trust, and adoption intention. Mass media has a significant influence on self-efficacy and subjective norms. Self-efficacy and subjective norms affect people's perception of trust in self-driving cars. Self-efficacy, subjective norms, and trust significantly affect the intention to use self-driving cars. Abstract: Automated vehicle technology is becoming increasingly mature with the development of Artificial Intelligence and information communications technology. It is important to understand the factors affecting the use of automated vehicles. This study investigates user acceptance and the willingness to use fully driverless cars (self-driving cars). Based on Social Cognitive Theory (SCT), we developed a new acceptance model to explore the impact of mass media on adopting self-driving cars. A survey was designed and distributed, and 173 responded. The results show that 84.4% of the respondents are willing to accept driverless cars. At this early stage, the reports from mass media significantly influence people's perception of self-driving cars. The media affect self-efficacy and subjective norms, and thereby people's trust and behavior change. Moreover, subjective norms, self-efficacy, and trust significantly influence their intention to use self-driving cars. This article provides practical guidance to promote self-driving cars: positive media reports will significantly enhance people's trust and intention to use driverless cars. … (more)
- Is Part Of:
- Travel behaviour and society. Volume 22(2021)
- Journal:
- Travel behaviour and society
- Issue:
- Volume 22(2021)
- Issue Display:
- Volume 22, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 22
- Issue:
- 2021
- Issue Sort Value:
- 2021-0022-2021-0000
- Page Start:
- 1
- Page End:
- 9
- Publication Date:
- 2021-01
- Subjects:
- Self-driving cars -- Trust -- Mass media -- Self-efficacy -- Subjective norms
Transportation -- Periodicals
Population geography -- Periodicals
303.48305 - Journal URLs:
- http://www.sciencedirect.com/science/journal/2214367X ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.tbs.2020.06.012 ↗
- Languages:
- English
- ISSNs:
- 2214-367X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 14887.xml