特色专题:混合智能中的情感交互与协同决策

知识背景对自动驾驶车辆使用意愿的影响——基于技术接受模型

  • 查验宣 ,
  • 李晶 , *
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  • 南京师范大学心理学院, 南京 210097
李晶(通信作者),教授,研究方向为工程心理学,电子信箱:

查验宣,研究方向为工程心理学,电子信箱:

收稿日期: 2023-12-04

  网络出版日期: 2025-03-07

基金资助

教育部人文社会科学研究规划基金项目(24YJA190007)

版权

版权所有,未经授权,不得转载。

The effect of knowledge background on willingness to use autonomous vehicles: Based on technology acceptance model

  • Yanxuan ZHA ,
  • Jing LI , *
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  • School of Psychology, Nanjing Normal University, Nanjing 210097, China

Received date: 2023-12-04

  Online published: 2025-03-07

Copyright

All rights reserved. Unauthorized reproduction is prohibited.

摘要

以技术接受模型为理论基础,旨在探究不同维度知识背景对自动驾驶车辆使用意愿的影响,检验技术焦虑、技术自我效能感和信任感的中介作用及驾驶经验的调节作用。通过对633名被试进行问卷调查发现:有用性、可靠性和智能性维度知识背景正向影响自动驾驶车辆使用意愿;技术焦虑、技术自我效能感和信任感在知识背景对使用意愿的影响中起中介作用;驾驶经验调节有用性、可靠性和智能性作用于信任感和技术自我效能感,以及技术自我效能感和技术焦虑作用于使用意愿的路径。研究扩展了技术接受模型,拓宽了未来自动驾驶车辆相关知识普及方向的视野,以期丰富公众自动驾驶车辆知识体系。

本文引用格式

查验宣 , 李晶 . 知识背景对自动驾驶车辆使用意愿的影响——基于技术接受模型[J]. 科技导报, 2025 , 43(3) : 81 -94 . DOI: 10.3981/j.issn.1000-7857.2023.12.01828

1
高在峰, 李文敏, 梁佳文, 等. 自动驾驶车中的人机信任[J]. 心理科学进展, 2021, 29 (12): 2172- 2183.

2
Davis F D . Perceived usefulness, perceived ease of use, and user acceptance of information technology[J]. MIS Quarterly, 1989, 13 (3): 319- 340.

DOI

3
胡晓伟, 石腾跃, 于璐, 等. 基于扩展技术接受度模型的共享自动驾驶汽车用户使用意愿研究[J]. 交通运输工程与信息学报, 2021, 19 (3): 1- 12.

4
杜刘洋. 面向学校出行的自动驾驶汽车使用意向及选择行为研究[D]. 镇江: 江苏大学, 2021.

5
Kelly S , Kaye S A , Oviedo-Trespalacios O . What factors contribute to the acceptance of artificial intelligence? A systematic review[J]. Telematics and Informatics, 2023, 77: 101925.

DOI

6
Liu P , Du M Q , Xu Z G , et al. People with more misconceptions about automated vehicles might be more positive toward them[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2022, 87: 264- 278.

DOI

7
郑新夷, 倪正山, 林依婷. 我国自动驾驶汽车的使用意愿探究[J]. 福州大学学报(哲学社会科学版), 2023, 37 (2): 133- 143.

DOI

8
Du M Q , Zhang T R , Liu J T , et al. Rumors in the air? Exploring public misconceptions about automated vehicles[J]. Transportation Research Part A: Policy and Practice, 2022, 156: 237- 252.

DOI

9
Tan H , Liu J Y , Chen C , et al. Knowledge as a key determinant of public support for autonomous vehicles[J]. Scientific Reports, 2024, 14 (1): 2156.

DOI

10
Tuncer M . Investigation of effects of computer anxiety and Internet attitudes on computer self-efficacy[J]. The Journal of Academic Social Science Studies, 2012, 4 (5): 205- 222.

11
Schlebusch C L . Computer anxiety, computer self-efficacy and attitudes towards the Internet of first year students at a South African University of technology[J]. Africa Education Review, 2018, 15 (3): 72- 90.

DOI

12
赵磊磊, 陈祥梅, 马志强. 人工智能时代教师技术焦虑: 成因分析与消解路向[J]. 首都师范大学学报(社会科学版), 2022 (6): 138- 149.

13
Wang Y , Liu C , Tu Y F . Factors affecting the adoption of AI-based applications in higher education: An analysis of teachers' perspectives using structural equation modeling[J]. Educational Technology & Society, 2021, 24 (3): 116- 129.

14
Chang S E . Computer anxiety and perception of task complexity in learning programming-related skills[J]. Computers in Human Behavior, 2005, 21 (5): 713- 728.

DOI

15
Bandura A . Social foundations of thought and action: A social cognitive theory[M]. Englewood Cliffs, N J: Prentice-Hall, 1986.

16
王堃. 信息通信技术(ICT)自我效能感与学习适应: 有调节的中介效应模型[D]. 武汉: 华中师范大学, 2021.

17
Compeau D R , Higgins C A . Computer self-efficacy: Development of a measure and initial test[J]. MIS Quarterly, 1995, 19 (2): 189- 211.

DOI

18
Aesaert K , Vanderlinde R , Tondeur J , et al. The content of educational technology curricula: A cross-curricular state of the art[J]. Educational Technology Research and Development, 2013, 61 (1): 131- 151.

DOI

19
Ballantine J A , McCourt Larres P , Oyelere P . Computer usage and the validity of self-assessed computer competence among first-year business students[J]. Computers & Education, 2007, 49 (4): 976- 990.

20
Gomez F C Jr , Trespalacios J , Hsu Y C , et al. Exploring teachers' technology integration self-efficacy through the 2017 ISTE standards[J]. TechTrends, 2022, 66 (2): 159- 171.

DOI

21
Song S Y , Kim Y K . Factors influencing consumers' intention to adopt fashion robot advisors: Psychological network analysis[J]. Clothing and Textiles Research Journal, 2022, 40 (1): 3- 18.

DOI

22
Song S Y. Modeling the consumer acceptance of retail service robots[D]. Knoxville: University of Tennessee, 2017.

23
Panagiotopoulos I , Dimitrakopoulos G . An empirical investigation on consumers' intentions towards autonomous driving[J]. Transportation Research Part C: Emerging Technologies, 2018, 95: 773- 784.

DOI

24
Raue M , D'Ambrosio L A , Ward C , et al. The influence of feelings while driving regular cars on the perception and acceptance of self-driving cars[J]. Risk Analysis, 2019, 39 (2): 358- 374.

DOI

25
Venkatesh V , Morris M G , Davis G B , et al. User acceptance of information technology: Toward a unified view[J]. MIS Quarterly, 2003, 27 (3): 425- 478.

DOI

26
Kashive N , Powale L , Kashive K . Understanding user perception toward artificial intelligence (AI) enabled e-learning[J]. The International Journal of Information and Learning Technology, 2020, 38 (1): 1- 19.

DOI

27
Nomura T , Kanda T , Suzuki T , et al. Prediction of human behavior in human: Robot interaction using psychological scales for anxiety and negative attitudes toward robots[J]. IEEE Transactions on Robotics, 2008, 24 (2): 442- 451.

DOI

28
Jian J Y , Bisantz A M , Drury C G . Foundations for an empirically determined scale of trust in automated systems[J]. International Journal of Cognitive Ergonomics, 2000, 4 (1): 53- 71.

29
齐航, 夏嘉祺, 王光超, 等. 考虑出行者习惯与利他性偏好的自动驾驶网约车使用意向模型[J]. 交通运输工程与信息学报, 2021, 19 (2): 1- 10.

30
王丽丽. 不同技能水平用户计算机焦虑、经验、自我效能的关系研究[D]. 济南: 山东师范大学, 2008.

31
Alvseike H , Brønnick K . Feasibility of the iPad as a hub for smart house technology in the elderly: Effects of cognition, self-efficacy, and technology experience[J]. Journal of Multidisciplinary Healthcare, 2012, 5: 299- 306.

32
Rauh N , Franke T , Krems J F . Understanding the impact of electric vehicle driving experience on range anxiety[J]. Human Factors, 2015, 57 (1): 177- 187.

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