TY - GEN
T1 - Affective Driver-Pedestrian Interaction
T2 - 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023
AU - Rao, Shruti
AU - Wirjopawiro, Sabrina
AU - Pons Rodriguez, Gerard
AU - Röggla, Thomas
AU - Cesar, Pablo
AU - El Ali, Abdallah
PY - 2023
Y1 - 2023
N2 - Eliciting and capturing drivers' affective responses in a realistic outdoor setting with pedestrians poses a challenge when designing in-vehicle, empathic interfaces. To address this, we designed a controlled, outdoor car driving circuit where drivers (N=27) drove and encountered pedestrian confederates who performed non-verbal positive or non-positive road crossing actions towards them. Our findings reveal that drivers reported higher valence upon observing positive, non-verbal crossing actions, and higher arousal upon observing non-positive crossing actions. Drivers' heart signals (BVP, IBI and BPM), skin conductance and facial expressions (brow lowering, eyelid tightening, nose wrinkling, and lip stretching) all varied significantly when observing positive and non-positive actions. Our car driving study, by drawing on realistic driving conditions, further contributes to the development of in-vehicle empathic interfaces that leverage behavioural and physiological sensing. Through automatic inference of driver affect resulting from pedestrian actions, our work can enable novel empathic interfaces for supporting driver emotion self-regulation.
AB - Eliciting and capturing drivers' affective responses in a realistic outdoor setting with pedestrians poses a challenge when designing in-vehicle, empathic interfaces. To address this, we designed a controlled, outdoor car driving circuit where drivers (N=27) drove and encountered pedestrian confederates who performed non-verbal positive or non-positive road crossing actions towards them. Our findings reveal that drivers reported higher valence upon observing positive, non-verbal crossing actions, and higher arousal upon observing non-positive crossing actions. Drivers' heart signals (BVP, IBI and BPM), skin conductance and facial expressions (brow lowering, eyelid tightening, nose wrinkling, and lip stretching) all varied significantly when observing positive and non-positive actions. Our car driving study, by drawing on realistic driving conditions, further contributes to the development of in-vehicle empathic interfaces that leverage behavioural and physiological sensing. Through automatic inference of driver affect resulting from pedestrian actions, our work can enable novel empathic interfaces for supporting driver emotion self-regulation.
KW - driver emotion recognition
KW - empathic cars
KW - facial expression analysis
KW - outdoor driving circuit
KW - pedestrian non-verbal crossing actions
KW - physiological sensing
KW - thermal sensing
UR - http://www.scopus.com/inward/record.url?scp=85173875314&partnerID=8YFLogxK
U2 - 10.1145/3580585.3607168
DO - 10.1145/3580585.3607168
M3 - Conference contribution
AN - SCOPUS:85173875314
T3 - ACM International Conference Proceeding Series
SP - 300
EP - 310
BT - 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023 - Main Conference Proceedings
PB - Association for Computing Machinery (ACM)
Y2 - 18 September 2023 through 21 September 2023
ER -