Beyond adaptive cruise control and lane centering control: drivers’ mental model of and trust in emerging ADAS technologies
IntroductionThe potential safety benefits of advanced driver assistance systems (ADAS) highly rely on drivers’ appropriate mental models of and trust in ADAS. Current research mainly focused on drivers’ mental model of adaptive cruise control (ACC) and lane centering control (LCC), but rarely invest...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Psychology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1236062/full |
| _version_ | 1797751942084034560 |
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| author | Chunxi Huang Dengbo He Dengbo He Dengbo He Xiao Wen Song Yan |
| author_facet | Chunxi Huang Dengbo He Dengbo He Dengbo He Xiao Wen Song Yan |
| author_sort | Chunxi Huang |
| collection | DOAJ |
| description | IntroductionThe potential safety benefits of advanced driver assistance systems (ADAS) highly rely on drivers’ appropriate mental models of and trust in ADAS. Current research mainly focused on drivers’ mental model of adaptive cruise control (ACC) and lane centering control (LCC), but rarely investigated drivers’ understanding of emerging driving automation functions beyond ACC and LCC.MethodsTo address this research gap, 287 valid responses from ADAS users in the Chinese market, were collected in a survey study targeted toward state-of-the-art ADAS (e.g., autopilot in Tesla). Through cluster analysis, drivers were clustered into four groups based on their knowledge of traditional ACC and LCC functions, knowledge of functions beyond ACC and LCC, and knowledge of ADAS limitations. Predictors of driver grouping were analyzed, and we further modeled drivers’ trust in ADAS.ResultsDrivers in general had weak knowledge of LCC functions and functions beyond ACC and LCC, and only 27 (9%) of respondents had a relatively strong mental model of ACC and LCC. At the same time, years of licensure, weekly driving distance, ADAS familiarity, driving style (i.e., planning), and personability (i.e., agreeableness) were associated with drivers’ mental model of ADAS. Further, it was found that the mental model of ADAS, vehicle brand, and drivers’ age, ADAS experience, driving style (i.e., focus), and personality (i.e., emotional stability) were significant predictors of drivers’ trust in ADAS.DiscussionThese findings provide valuable insights for the design of driver education and training programs to improve driving safety with ADAS. |
| first_indexed | 2024-03-12T16:57:02Z |
| format | Article |
| id | doaj.art-acdb8aca7455415183042d7b8c162551 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-03-12T16:57:02Z |
| publishDate | 2023-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-acdb8aca7455415183042d7b8c1625512023-08-08T05:55:13ZengFrontiers Media S.A.Frontiers in Psychology1664-10782023-08-011410.3389/fpsyg.2023.12360621236062Beyond adaptive cruise control and lane centering control: drivers’ mental model of and trust in emerging ADAS technologiesChunxi Huang0Dengbo He1Dengbo He2Dengbo He3Xiao Wen4Song Yan5Robotics and Autonomous Systems, Division of Emerging Interdisciplinary Areas (EMIA) under Inter-disciplinary Programs Office (IPO), The Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR, ChinaIntelligent Transportation Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, ChinaHKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen, ChinaDepartment of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR, ChinaIntelligent Transportation Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, ChinaIntelligent Transportation Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, ChinaIntroductionThe potential safety benefits of advanced driver assistance systems (ADAS) highly rely on drivers’ appropriate mental models of and trust in ADAS. Current research mainly focused on drivers’ mental model of adaptive cruise control (ACC) and lane centering control (LCC), but rarely investigated drivers’ understanding of emerging driving automation functions beyond ACC and LCC.MethodsTo address this research gap, 287 valid responses from ADAS users in the Chinese market, were collected in a survey study targeted toward state-of-the-art ADAS (e.g., autopilot in Tesla). Through cluster analysis, drivers were clustered into four groups based on their knowledge of traditional ACC and LCC functions, knowledge of functions beyond ACC and LCC, and knowledge of ADAS limitations. Predictors of driver grouping were analyzed, and we further modeled drivers’ trust in ADAS.ResultsDrivers in general had weak knowledge of LCC functions and functions beyond ACC and LCC, and only 27 (9%) of respondents had a relatively strong mental model of ACC and LCC. At the same time, years of licensure, weekly driving distance, ADAS familiarity, driving style (i.e., planning), and personability (i.e., agreeableness) were associated with drivers’ mental model of ADAS. Further, it was found that the mental model of ADAS, vehicle brand, and drivers’ age, ADAS experience, driving style (i.e., focus), and personality (i.e., emotional stability) were significant predictors of drivers’ trust in ADAS.DiscussionThese findings provide valuable insights for the design of driver education and training programs to improve driving safety with ADAS.https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1236062/fullmental modeltrustADASsurvey studycluster analysis |
| spellingShingle | Chunxi Huang Dengbo He Dengbo He Dengbo He Xiao Wen Song Yan Beyond adaptive cruise control and lane centering control: drivers’ mental model of and trust in emerging ADAS technologies Frontiers in Psychology mental model trust ADAS survey study cluster analysis |
| title | Beyond adaptive cruise control and lane centering control: drivers’ mental model of and trust in emerging ADAS technologies |
| title_full | Beyond adaptive cruise control and lane centering control: drivers’ mental model of and trust in emerging ADAS technologies |
| title_fullStr | Beyond adaptive cruise control and lane centering control: drivers’ mental model of and trust in emerging ADAS technologies |
| title_full_unstemmed | Beyond adaptive cruise control and lane centering control: drivers’ mental model of and trust in emerging ADAS technologies |
| title_short | Beyond adaptive cruise control and lane centering control: drivers’ mental model of and trust in emerging ADAS technologies |
| title_sort | beyond adaptive cruise control and lane centering control drivers mental model of and trust in emerging adas technologies |
| topic | mental model trust ADAS survey study cluster analysis |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1236062/full |
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