Consumer knowledge and acceptance of advanced driver assistance systems

被引:17
|
作者
Kaye, Sherrie -Anne [1 ]
Nandavar, Sonali [1 ]
Yasmin, Shamsunnahar [1 ]
Lewis, Ioni [1 ]
Oviedo-Trespalacios, Oscar [1 ]
机构
[1] Queensland Univ Technol QUT, Ctr Accid Res & Rd Safety Queensland CARRS Q, Brisbane, Australia
基金
澳大利亚研究理事会;
关键词
Driver behaviour; Education; Knowledge; Training; Technology Acceptance Model; Human factors; USER ACCEPTANCE; TECHNOLOGY; VEHICLES; UTAUT;
D O I
10.1016/j.trf.2022.09.004
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
This research aimed to examine how personal car users are informed about Advanced Driver Assistance Systems (ADAS) in Australia, and the extent to which information received at point of sale influenced the level of understanding and adaptation of ADAS. Further, this study applied the Technology Acceptance Model (TAM) to assess drivers' intentions to use ADAS within the next month. Participants were required to have purchased a new or second-hand vehicle within the past five years and which had at least one of the following five ADAS: autonomous emergency braking, lane departure warning, adaptive cruise control, blind spot monitoring, and rear cross traffic alert. Participants (N = 217, Mage = 47.87 years, 149 male) completed a 20-minute online questionnaire. The findings revealed that 122 (56%) participants reported not seeking out any information about ADAS prior to purchasing their vehicle. Further, the most reported approaches used by participants to learn about their vehicle's ADAS were through the owner's manual (n = 121, 55%) and via trial and error (n = 117, 54%). It was also found that total time spent with the salesperson in explaining ADAS features did not influence drivers' level of understanding of ADAS or number of days to adapt to the ADAS in their vehicle. However, and consistent with the TAM, perceived usefulness and perceived ease of use were significant positive predictors of intentions to use ADAS within the next month. It was also found that participants who learnt about these technologies either via reading the owner's manual, trial and error, or a verbal explanation at point of sale appeared to be more frequently classified as reporting higher acceptance of ADAS than those participants who did not use those learning methods. Given that technology in vehicles will continue to advance, it is vital that more work is conducted to educate drivers about the functionality of ADAS. Further, it is also important to communicate where buyers of personal cars can go and find accurate and reliable information about ADAS.
引用
收藏
页码:300 / 311
页数:12
相关论文
共 50 条
  • [21] Automotive Vision for Advanced Driver Assistance Systems
    Kisacanin, Branislav
    2011 INTERNATIONAL SYMPOSIUM ON VLSI DESIGN, AUTOMATION AND TEST (VLSI-DAT), 2011, : 47 - 48
  • [22] Testbed for industrial advanced driver assistance systems
    Paneda, Xabiel G.
    Garcia, Roberto
    Melendi, David
    Garcia, Dan
    Martinez, David
    Corcoba, Victor
    IEEE LATIN AMERICA TRANSACTIONS, 2023, 21 (05) : 613 - 620
  • [23] Advanced driver assistance systems - a European perspective
    Hayward, M
    ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS): VEHICLE CONTROL FOR THE FUTURE, 1999, 1999 (13): : 1 - 12
  • [24] Interaction strategies with advanced driver assistance systems
    Neuhuber, N.
    Pretto, P.
    Kubicek, B.
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2022, 88 : 223 - 235
  • [25] VALSE - Validation of advanced driver assistance systems
    Athanasas, K.
    Bonnet, C.
    Fritz, H.
    Scheidler, C.
    VDI Berichte, 2003, (1745): : 261 - 280
  • [26] Integrity Monitoring for Advanced Driver Assistance Systems
    El-Mowafy, Ahmed
    Kubo, Nobuaki
    PROCEEDINGS OF THE 29TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS+ 2016), 2016, : 2733 - 2753
  • [27] The human factor in advanced driver assistance systems
    Brookhuis, K
    de Waard, D
    ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS): VEHICLE CONTROL FOR THE FUTURE, 1999, 1999 (13): : 59 - 65
  • [28] Review of Advanced Driver Assistance Systems (ADAS)
    Ziebinski, Adam
    Cupek, Rafal
    Grzechca, Damian
    Chruszczyk, Lukas
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2017 (ICCMSE-2017), 2017, 1906
  • [29] Predicting the acceptance of advanced rider assistance systems
    Huth, Veronique
    Gelau, Christhard
    ACCIDENT ANALYSIS AND PREVENTION, 2013, 50 : 51 - 58
  • [30] Miniaturized Advanced Driver Assistance Systems: A Low-Cost Educational Platform for Advanced Driver Assistance Systems and Autonomous Driving
    Gerstmair, Michael
    Gschwandtner, Martin
    Findenig, Rainer
    Lang, Oliver
    Melzer, Alexander
    Huemer, Mario
    IEEE SIGNAL PROCESSING MAGAZINE, 2021, 38 (03) : 105 - 114