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Jackie Ayoub
Jackie Ayoub
Honda Research Institute
Verified email at umich.edu
Title
Cited by
Cited by
Year
Combat COVID-19 infodemic using explainable natural language processing models
J Ayoub, XJ Yang, F Zhou
Information Processing & Management 58 (4), 102569, 2021
1122021
From manual driving to automated driving: A review of 10 years of autoui
J Ayoub, F Zhou, S Bao, XJ Yang
Proceedings of the 11th international conference on automotive user …, 2019
1012019
A machine learning approach to customer needs analysis for product ecosystems
F Zhou, J Ayoub, Q Xu, X Jessie Yang
Journal of mechanical design 142 (1), 011101, 2020
692020
Modeling dispositional and initial learned trust in automated vehicles with predictability and explainability
J Ayoub, XJ Yang, F Zhou
Transportation research part F: traffic psychology and behaviour 77, 102-116, 2021
602021
Predicting driver takeover time in conditionally automated driving
J Ayoub, N Du, XJ Yang, F Zhou
IEEE transactions on intelligent transportation systems 23 (7), 9580-9589, 2022
222022
Otto: An autonomous school bus system for parents and children
J Ayoub, B Mason, K Morse, A Kirchner, N Tumanyan, F Zhou
Extended abstracts of the 2020 chi conference on human factors in computing …, 2020
192020
Examining the impacts of drivers’ emotions on takeover readiness and performance in highly automated driving
N Du, J Ayoub, F Zhou, AK Pradhan, L Robert, D Tilbury, E Pulver, ...
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63 (1 …, 2019
162019
Analyzing customer needs of product ecosystems using online product reviews
J Ayoub, F Zhou, Q Xu, J Yang
International design engineering technical conferences and computers and …, 2019
162019
Investigating explanations in conditional and highly automated driving: the effects of situation awareness and modality
L Avetisyan, J Ayoub, F Zhou
Transportation research part F: traffic psychology and behaviour 89, 456-466, 2022
152022
An investigation of drivers’ dynamic situational trust in conditionally automated driving
J Ayoub, L Avetisyan, M Makki, F Zhou
IEEE Transactions on Human-Machine Systems 52 (3), 501-511, 2021
132021
Real-time trust prediction in conditionally automated driving using physiological measures
J Ayoub, L Avetisian, XJ Yang, F Zhou
IEEE Transactions on Intelligent Transportation Systems, 2023
112023
Cause-and-effect analysis of adas: A comparison study between literature review and complaint data
J Ayoub, Z Wang, M Li, H Guo, R Sherony, S Bao, F Zhou
Proceedings of the 14th international conference on automotive user …, 2022
102022
Investigating drivers’ trust in autonomous vehicles’ decisions of lane changing events
J Ayoub, F Zhou
Proceedings of the human factors and ergonomics society annual meeting 64 (1 …, 2020
72020
Anticipated emotions associated with trust in autonomous vehicles
L Avetisian, J Ayoub, F Zhou
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66 (1 …, 2022
62022
An Intelligent Blind Spot Indicator System to Prevent Double Lane Merge Conflicts
A Abughaida, L Daman, M Song, Y Zhang, J Ayoub
Transportation Research Board 103rd Annual MeetingTransportation Research Board, 2024
2024
Building Trust Profiles in Conditionally Automated Driving
L Avetisyan, J Ayoub, XJ Yang, F Zhou
arXiv preprint arXiv:2306.16567, 2023
2023
The Impact of Emotions on Drivers’ Decision-Making Process Between Conventional and Autonomous Vehicles: A Systematic Survey
EMP Jackie Ayoub, Chun-Wei Chiang, Miao Song, Danyang Tian, Feng Zhou, David ...
IEEE Affecting Computing 2023, 2023
2023
May I, please? Examining the need for improved intention communication on the road using naturalistic data
JMC Miao Song, Jackie Ayoub, Danyang Tian, Ehsan Moradi Pari, Miguel Perez
HFES, 2023
2023
Modeling, Measuring, and Predicting Trust in Autonomous Vehicles
J Ayoub
2022
Experimental Prediction of the Fracture of 6XXX Aluminum Alloys
J Ayoub
2018
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