Get Ready for Take-Overs: Using Head-Up Display for Drivers to Engage in Non-Driving-Related Tasks in Automated Vehicles

被引:13
作者
Li, Xiaomeng [1 ]
Schroeter, Ronald [1 ]
Rakotonirainy, Andry [1 ]
Kuo, Jonny [2 ]
Lenne, Michael G. [2 ]
机构
[1] Queensland Univ Technol QUT, Ctr Accid Res & Rd Safety Queensland CARRS Q, 130 K Block,Victoria Pk Rd, Kelvin Grove, Qld, Australia
[2] Seeing Machines Ltd, Fyshwick, ACT, Australia
基金
澳大利亚研究理事会;
关键词
driver state; HUD; NDRTs; TOR; reaction time; MENTAL WORKLOAD; GLANCE PATTERNS; PERFORMANCE; POSITION; BEHAVIOR; STRESS; SYSTEM; IMPACT; BLINK;
D O I
10.1177/00187208211056200
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Objective The study aims to investigate the potential of using HUD (head-up display) as an approach for drivers to engage in non-driving-related tasks (NDRTs) during automated driving, and examine the impacts on driver state and take-over performance in comparison to the traditional mobile phone. Background Advances in automated vehicle technology have the potential to relieve drivers from driving tasks so that they can engage in NDRTs freely. However, drivers will still need to take-over control under certain circumstances. Method A driving simulation experiment was conducted using an Advanced Driving Simulator and real-world driving videos. Forty-six participants completed three drives in three display conditions, respectively (HUD, mobile phone and baseline without NDRT). The HUD was integrated with the vehicle in displaying NDRTs while the mobile phone was not. Drivers' visual (e.g. gaze, blink) and physiological (e.g. ECG, EDA) data were collected to measure driver state. Two take-over reaction times (hand and foot) were used to measure take-over performance. Results The HUD significantly shortened the take-over reaction times compared to the mobile phone condition. Compared to the baseline condition, drivers in the HUD condition also experienced lower cognitive workload and physiological arousal. Drivers' take-over reaction times were significantly correlated with their visual and electrodermal activities during automated driving prior to the take-over request. Conclusion HUDs can improve driver performance and lower workload when used as an NDRT interface. Application The study sheds light on a promising approach for drivers to engage in NDRTs in future AVs.
引用
收藏
页码:1759 / 1775
页数:17
相关论文
共 42 条
  • [1] Mental Workload and Visual Impairment: Differences between Pupil, Blink, and Subjective Rating
    Angel Recarte, Miguel
    Perez, Elisa
    Conchillo, Angela
    Miguel Nunes, Luis
    [J]. SPANISH JOURNAL OF PSYCHOLOGY, 2008, 11 (02) : 374 - 385
  • [2] A continuous measure of phasic electrodermal activity
    Benedek, Mathias
    Kaernbach, Christian
    [J]. JOURNAL OF NEUROSCIENCE METHODS, 2010, 190 (01) : 80 - 91
  • [3] Human-machine collaboration through vehicle head up display interface
    Charissis, Vassilis
    Papanastasiou, Stylianos
    [J]. COGNITION TECHNOLOGY & WORK, 2010, 12 (01) : 41 - 50
  • [4] Manipulating music to communicate automation reliability in conditionally automated driving: A driving simulator study
    Chen, Kuan-Ting
    Chen, Huei-Yen Winnie
    [J]. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2021, 145
  • [5] Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence
    de Winter, Joost C. F.
    Happee, Riender
    Martens, Marieke H.
    Stanton, Neville A.
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2014, 27 : 196 - 217
  • [6] Psychophysiological responses to takeover requests in conditionally automated driving
    Du, Na
    Yang, X. Jessie
    Zhou, Feng
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2020, 148
  • [7] Predicting driver takeover performance in conditionally automated driving
    Du, Na
    Zhou, Feng
    Pulver, Elizabeth M.
    Tilbury, Dawn M.
    Robert, Lionel P.
    Pradhan, Anuj K.
    Yang, X. Jessie
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2020, 148
  • [8] Examining the effects of emotional valence and arousal on takeover performance in conditionally automated driving
    Du, Na
    Zhou, Feng
    Pulver, Elizabeth M.
    Tilbury, Dawn M.
    Robert, Lionel P.
    Pradhan, Anuj K.
    Yang, X. Jessie
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 112 : 78 - 87
  • [9] The effects of driving environment complexity and dual tasking on drivers' mental workload and eye blink behavior
    Faure, Verane
    Lobjois, Regis
    Benguigui, Nicolas
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2016, 40 : 78 - 90
  • [10] Self-Interruptions of Non-Driving Related Tasks in Automated Vehicles: Mobile vs Head-Up Display
    Gerber, Michael A.
    Schroeter, Ronald
    Li Xiaomeng
    Elhenawy, Mohammed
    [J]. PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20), 2020,