| Combat COVID-19 infodemic using explainable natural language processing models J Ayoub, XJ Yang, F Zhou Information processing & management 58 (4), 102569, 2021 | 144 | 2021 |
| 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 | 132 | 2019 |
| 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 | 101 | 2020 |
| 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 | 83 | 2021 |
| 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 | 51 | 2022 |
| 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 | 41 | 2022 |
| 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 24 (12), 14642-14650, 2023 | 32 | 2023 |
| 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 | 26 | 2022 |
| 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 | 25 | 2021 |
| 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 | 23 | 2019 |
| 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 | 22 | 2020 |
| Examining the impacts of drivers’ emotions on takeover readiness and performance in highly automated driving N Du, J Ayoub, F Zhou, A Pradhan, L Robert Jr, D Tilbury, E Pulver, ... HFES 2019, 2019 | 18 | 2019 |
| 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 | 11 | 2022 |
| 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 | 9 | 2020 |
| Learning with AI Assistance: A Path to Better Task Performance or Dependence? S Karny, LW Mayer, J Ayoub, M Song, H Su, D Tian, E Moradi-Pari, ... Proceedings of the ACM Collective Intelligence Conference, 10-17, 2024 | 2 | 2024 |
| Building Trust Profiles in Conditionally Automated Driving L Avetisyan, J Ayoub, XJ Yang, F Zhou arXiv preprint arXiv:2306.16567, 2023 | 1 | 2023 |
| 2024 Index IEEE Transactions on Human-Machine Systems Vol. 54 DA Abbink, Q Ai, S Alfayad, M Alzamani, A Angeleas, P Artemiadis, ... IEEE Transactions on Human-Machine Systems 54 (6), 2024 | | 2024 |
| Building Contextualized Trust Profiles in Conditionally Automated Driving L Avetisyan, J Ayoub, XJ Yang, F Zhou IEEE Transactions on Human-Machine Systems, 2024 | | 2024 |
| Optimal Function and Attention Allocation for Human-AI Collaboration using Computational Cognition-Work Model EMP I Hwang S Byeon, D Tian, J Ayoub, M Song 63rd IEEE Conference on Decision and Control (CDC), 2024 | | 2024 |
| 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 |
Feng ZhouAssistant Professor at University of Michigan, Dearbornยืนยันอีเมลแล้วที่ gatech.edu