TY - GEN
T1 - An Introduction to a Psychoanalytic Framework for Passengers’ Experience in Autonomous Vehicles
AU - Cohen-Lazry, Guy
AU - Edelstein, Amit
AU - Degani, Asaf
AU - Oron-Gilad, Tal
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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.
AB - 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.
KW - Autonomous vehicles
KW - Conscious and unconscious
KW - Discomfort
KW - Psychoanalysis
KW - Subjective experience
UR - http://www.scopus.com/inward/record.url?scp=85089163505&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-50523-3_17
DO - 10.1007/978-3-030-50523-3_17
M3 - Conference contribution
AN - SCOPUS:85089163505
SN - 9783030505226
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 249
EP - 265
BT - HCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design - 2nd International Conference, MobiTAS 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
A2 - Krömker, Heidi
PB - Springer
T2 - 2nd International Conference on HCI in Mobility, Transport, and Automotive Systems, MobiTAS 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -