An Introduction to a Psychoanalytic Framework for Passengers' Experience in Autonomous Vehicles

被引:1
|
作者
Cohen-Lazry, Guy [1 ]
Edelstein, Amit [2 ]
Degani, Asaf [3 ]
Oron-Gilad, Tal [1 ]
机构
[1] Ben Gurion Univ Negev, Beer Sheva, Israel
[2] Private Psychoanalyt Clin, Tel Aviv, Israel
[3] Gen Motors Adv Tech Ctr, Herzliyya, Israel
来源
HCI IN MOBILITY, TRANSPORT, AND AUTOMOTIVE SYSTEMS. AUTOMATED DRIVING AND IN-VEHICLE EXPERIENCE DESIGN, MOBITAS 2020, PT I | 2020年 / 12212卷
关键词
Autonomous vehicles; Discomfort; Psychoanalysis; Conscious and unconscious; Subjective experience; COMFORT;
D O I
10.1007/978-3-030-50523-3_17
中图分类号
学科分类号
摘要
In this paper, we introduce a novel perspective for research concerning autonomous vehicles, by applying a psychoanalytic approach that focuses on capturing passengers' emotional experience. By applying psychoanalytic thinking that aims at the sub-conscious parts of the experience, those that are often unobservable using common methodologies of studying discomfort, we expect to complement existing inquiries of discomfort in autonomous vehicles. The content for this paper's examination was a set of video recordings, captured during an on-road, Wizard-of-Oz type study. In this study, participants were led to believe that they are being driven by a fully autonomous vehicle while their reactions, expressions and communication were monitored and recorded. In particular, we examined and categorized their emotional state of mind during various road situations. Using this data, we provide a theoretical framework and a formal representation of passengers' emotional state of mind, and show how they can be used to capture and understand passengers' emotional experience as well as its dynamics.
引用
收藏
页码:249 / 265
页数:17
相关论文
共 50 条
  • [31] Autonomous vehicles and paratransit: Examining the protective framework of the Americans with Disabilities Act
    Kuzio, Jacqueline
    CASE STUDIES ON TRANSPORT POLICY, 2021, 9 (03) : 1130 - 1140
  • [32] A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles
    Dubey, Subodh
    Sharma, Ishant
    Mishra, Sabyasachee
    Cats, Oded
    Bansal, Prateek
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2022, 165 : 63 - 95
  • [33] A Framework for the Synergistic Integration of Fully Autonomous Ground Vehicles With Smart City
    Kuru, Kaya
    Khan, Wasiq
    IEEE ACCESS, 2021, 9 : 923 - 948
  • [34] ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles
    Piazzoni, Andrea
    Cherian, Jim
    Azhar, Mohamed
    Yap, Jing Yew
    Shung, James Lee Wei
    Vijay, Roshan
    THIRD IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE TESTING (AITEST 2021), 2021, : 143 - 150
  • [35] How Well Can Driverless Vehicles Hear? A Gentle Introduction to Auditory Perception for Autonomous and Smart Vehicles
    Marchegiani, Letizia
    Fafoutis, Xenofon
    IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2022, 14 (03) : 92 - 105
  • [36] Driver seat comfort for level 3-4 autonomous vehicles
    Mansfield, Neil J.
    Walia, Kartikeya
    Singh, Aditya
    WORK-A JOURNAL OF PREVENTION ASSESSMENT & REHABILITATION, 2021, 68 : S111 - S118
  • [37] A Trajectory Optimization-Based Intersection Coordination Framework for Cooperative Autonomous Vehicles
    Zhang, Yixiao
    Hao, Rui
    Zhang, Tingting
    Chang, Xiaohan
    Xie, Zepeng
    Zhang, Qinyu
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (09) : 14674 - 14688
  • [38] The Cognitive Driving Framework: Joint Inference for Collision Prediction and Avoidance in Autonomous Vehicles
    Hamlet, Alan J.
    Emami, Patrick
    Crane, Carl D.
    2015 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2015, : 1714 - 1719
  • [39] Adaptive sensor attack detection and defense framework for autonomous vehicles based on density
    Miao, Zujia
    Shao, Cuiping
    Li, Huiyun
    Cui, Yunduan
    Tang, Zhimin
    COMPUTERS & SECURITY, 2025, 148
  • [40] Predictive Guidance and Control Framework for (Semi-) Autonomous Vehicles in Public Traffic
    Weiskircher, Thomas
    Wang, Qian
    Ayalew, Beshah
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2017, 25 (06) : 2034 - 2046