Keep Calm and Ride Along: Passenger Comfort and Anxiety as Physiological Responses to Autonomous Driving Styles
Nicole Dillen, Marko Ilievski, Edith Law, Lennart E. Nacke, Krzysztof Czarnecki, Oliver Schneider
Abstract
Autonomous vehicles have been rapidly progressing towards full autonomy using fixed driving styles, which may differ from individual passenger preferences. Violating these preferences may lead to passenger discomfort or anxiety. We studied passenger responses to different driving style parameters in a physical autonomous vehicle. We collected galvanic skin response, heart rate, and eye-movement patterns from 20 participants, along with self-reported comfort and anxiety scores. Our results show that the presence and proximity of a lead vehicle not only raised the level of all measured physiological responses, but also exaggerated the existing effect of the longitudinal acceleration and jerk parameters. Skin response was also found to be a significant predictor of passenger comfort and anxiety. By using multiple independent events to isolate different driving style parameters, we demonstrate a method to control and analyze such parameters in future studies.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get 5be73d90-d53a-447a-9ca5-b2d411c1f9adCited by top-tier papers6
- Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI SystemsGaole He, Lucie Kuiper, Ujwal GadirajuCHI 2023 · 101 citations
- DeepTake: Prediction of Driver Takeover Behavior using Multimodal DataErfan Pakdamanian, Shili Sheng, Sonia Baee, Seongkook Heo et al.CHI 2021 · 86 citations
- SwiVR-Car-Seat: Exploring Vehicle Motion Effects on Interaction Quality in Virtual Reality Automated Driving Using a Motorized Swivel SeatMark Colley, Pascal Jansen, Enrico Rukzio, Jan GugenheimerUbiComp 2022 · 50 citations
- A Design Space for Human Sensor and Actuator Focused In-Vehicle Interaction Based on a Systematic Literature ReviewPascal Jansen, Mark Colley, Enrico RukzioUbiComp 2022 · 44 citations
- AutoVis: Enabling Mixed-Immersive Analysis of Automotive User Interface Interaction StudiesPascal Jansen, Julian Britten, Alexander Häusele, Thilo Segschneider et al.CHI 2023 · 38 citations
Related papers
- Comfort in Automated Driving: A Literature Survey and a High-Level Integrative FrameworkVeronika Domova, Rebecca Maria Currano, David SirkinUbiComp 2024 · 10 citations
- Decoding Driver Intention Cues: Exploring Non-verbal Communication for Human-Centered Automotive InterfacesMohammad Faramarzian, Jorge Pardo, Ilan Mandel, Andry Rakotonirainy et al.CHI 2025 · 3 citations
- What a Driver Wants: User Preferences in Semi-Autonomous Vehicle Decision-MakingSo Yeon Park, Dylan James Moore, David SirkinCHI 2020 · 39 citations
- What and When to Explain?: On-road Evaluation of Explanations in Highly Automated VehiclesGwangbin Kim, Dohyeon Yeo, Taewoo Jo, Daniela Rus et al.UbiComp 2023 · 34 citations
- Virtual Morality: Using Virtual Reality to Study Moral Behavior in Extreme Accident SituationsGiulia Benvegnù, Patrik Pluchino, Luciano GamberiniIEEE VR 2021 · 19 citations
