TY - GEN
T1 - HEDGEHOG
T2 - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
AU - Gomes, Guilherme Daniel
AU - Flynn, Ronan
AU - Murray, Niall
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/9/17
Y1 - 2022/9/17
N2 - In the Automated Driving Systems domain, conditional automation requires the driver to be ready to resume vehicle control if a Take-Over Request is triggered. Keeping a constant alert cognitive state, however, is one of the biggest challenges for drivers, susceptible to Non-Driving Related Tasks during autonomous driving modes. Although the communication between the vehicle and its operator can mitigate the risks (e.g., auditory warning signals), there is no consensus on what type of modality delivers the safest option. In that context, we present the HEDGEHOG, a steering wheel that uses force haptic signals to continuously deliver stimuli to the driver's hands. Based on existing risk assessment frameworks used to evaluate Autonomous Vehicles, this demonstration proposes the use of this device to increase the driver's Situation Awareness during the transition of control from automated to manual vehicle control.
AB - In the Automated Driving Systems domain, conditional automation requires the driver to be ready to resume vehicle control if a Take-Over Request is triggered. Keeping a constant alert cognitive state, however, is one of the biggest challenges for drivers, susceptible to Non-Driving Related Tasks during autonomous driving modes. Although the communication between the vehicle and its operator can mitigate the risks (e.g., auditory warning signals), there is no consensus on what type of modality delivers the safest option. In that context, we present the HEDGEHOG, a steering wheel that uses force haptic signals to continuously deliver stimuli to the driver's hands. Based on existing risk assessment frameworks used to evaluate Autonomous Vehicles, this demonstration proposes the use of this device to increase the driver's Situation Awareness during the transition of control from automated to manual vehicle control.
KW - Autonomous Vehicles
KW - Haptic Feedback
KW - Perceived Safety
KW - Quality of Experience
KW - Situation Awareness
UR - http://www.scopus.com/inward/record.url?scp=85139005834&partnerID=8YFLogxK
U2 - 10.1145/3544999.3554973
DO - 10.1145/3544999.3554973
M3 - Conference contribution
AN - SCOPUS:85139005834
T3 - Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
SP - 222
EP - 225
BT - Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
PB - Association for Computing Machinery, Inc
Y2 - 17 September 2022 through 20 September 2022
ER -