An Eye Gaze Heatmap Analysis of Uncertainty Head-Up Display Designs for Conditional Automated Driving

被引:1
作者
Gerber, Michael A. [1 ,2 ]
Schroeter, Ronald [1 ]
Johnson, Daniel [1 ]
Janssen, Christian P. [3 ]
Rakotonirainy, Andry [1 ]
Kuo, Jonny [4 ]
Lenne, Mike G. [4 ]
机构
[1] CARRS Q Queensland Univ Technol, Kelvin Grove, Australia
[2] Msg Syst AG, Munich, Germany
[3] Univ Utrecht, Utrecht, Netherlands
[4] Seeing Machines Ltd, Canberra, Australia
来源
PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2024 | 2024年
基金
澳大利亚研究理事会;
关键词
Conditional Automated Driving; Robot Supervision; Fallback Readiness; Task Switch; Non-Driving Related Activity; Eye-tracking; Driving Simulator Study; Heatmap Analysis; Head Up Display; SITUATION AWARENESS; INTERRUPTION; TAKEOVER; TIME;
D O I
10.1145/3613904.3642219
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper reports results from a high-fidelity driving simulator study (N=215) about a head-up display (HUD) that conveys a conditional automated vehicle's dynamic "uncertainty" about the current situation while fallback drivers watch entertaining videos. We compared (between-group) three design interventions: display (a bar visualisation of uncertainty close to the video), interruption (interrupting the video during uncertain situations), and combination (a combination of both), against a baseline (video-only). We visualised eye-tracking data to conduct a heatmap analysis of the four groups' gaze behaviour over time. We found interruptions initiated a phase during which participants interleaved their attention between monitoring and entertainment. This improved monitoring behaviour was more pronounced in combination compared to interruption, suggesting pre-warning interruptions have positive effects. The same addition had negative effects without interruptions (comparing baseline & display). Intermittent interruptions may have safety benefits over placing additional peripheral displays without compromising usability.
引用
收藏
页数:16
相关论文
共 62 条
  • [11] Finstad K, 2010, J USABILITY STUD, V5, P104
  • [12] A real-time foveated multiresolution system for low-bandwidth video communication
    Geisler, WS
    Perry, JS
    [J]. HUMAN VISION AND ELECTRONIC IMAGING III, 1998, 3299 : 294 - 305
  • [13] A human factors perspective on how to keep SAE Level 3 conditional automated driving safe
    Gerber, Michael A.
    Schroeter, Ronald
    Ho, Bonnie
    [J]. TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, 2023, 22
  • [14] Eye-Gaze Analysis of HUD Interventions for Conditional Automation to Increase Situation Awareness
    Gerber, Michael A.
    Schroeter, Ronald
    Johnson, Daniel
    Rakotonirainy, Andry
    [J]. AUTOMOTIVEUI '21 ADJUNCT PROCEEDINGS: 13TH INTERNATIONAL ACM CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, 2021, : 210 - 212
  • [15] 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,
  • [16] Gianaros PJ, 2001, AVIAT SPACE ENVIR MD, V72, P115
  • [17] Gold C., 2013, P HUM FACT ERG SOC A, V57, P1938, DOI [10.1177/1541931213571433, DOI 10.1177/1541931213571433]
  • [18] Presenting Information on the Driver's Demand on a Head-Up Display
    Haeuslschmid, Renate
    Klaus, Christopher
    Butz, Andreas
    [J]. HUMAN-COMPUTER INTERACTION - INTERACT 2017, PT II, 2017, 10514 : 245 - 262
  • [19] On the future of transportation in an era of automated and autonomous vehicles
    Hancock, P. A.
    Nourbakhsh, Illah
    Stewart, Jack
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2019, 116 (16) : 7684 - 7691
  • [20] Helldin T., 2013, 5 INT C AUTOMOTIVE U, P210, DOI [10.1145/2516540.2516554, DOI 10.1145/2516540.2516554]