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Kumar Akash
Kumar Akash
Principal Scientist, Honda Research Institute USA, Inc.
Verified email at honda-ri.com
Title
Cited by
Cited by
Year
A Classification Model for Sensing Human Trust in Machines Using EEG and GSR
K Akash, WL Hu, N Jain, T Reid
ACM Transactions on Interactive Intelligent Systems (TiiS) 8 (4), 27, 2018
1452018
Real-Time Sensing of Trust in Human-Machine Interactions⋆
WL Hu, K Akash, N Jain, T Reid
IFAC-PapersOnLine 49 (32), 48-53, 2016
1052016
Computational Modeling of the Dynamics of Human Trust During Human–Machine Interactions
WL Hu, K Akash, T Reid, N Jain
IEEE Transactions on Human-Machine Systems, 2018
792018
Dynamic modeling of trust in human-machine interactions
K Akash, WL Hu, T Reid, N Jain
2017 American Control Conference (ACC), 1542-1548, 2017
662017
Human trust-based feedback control: Dynamically varying automation transparency to optimize human-machine interactions
K Akash, G McMahon, T Reid, N Jain
IEEE Control Systems Magazine 40 (6), 98-116, 2020
612020
Improving human-machine collaboration through transparency-based feedback–part I: Human trust and workload model
K Akash, K Polson, T Reid, N Jain
IFAC-PapersOnLine 51 (34), 315-321, 2019
542019
Toward adaptive trust calibration for level 2 driving automation
K Akash, N Jain, T Misu
Proceedings of the 2020 international conference on multimodal interaction …, 2020
472020
Improving human-machine collaboration through transparency-based feedback–part ii: Control design and synthesis
K Akash, T Reid, N Jain
IFAC-PapersOnLine 51 (34), 322-328, 2019
422019
Toward adaptive driving styles for automated driving with users' trust and preferences
M Natarajan, K Akash, T Misu
2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2022
242022
Improving driver situation awareness prediction using human visual sensory and memory mechanism
H Zhu, T Misu, S Martin, X Wu, K Akash
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
182021
Clustering human trust dynamics for customized real-time prediction
J Liu, K Akash, T Misu, X Wu
2021 ieee international intelligent transportation systems conference (ITSC …, 2021
142021
Adaptive Probabilistic Classification of Dynamic Processes: A Case Study on Human Trust in Automation
K Akash, T Reid, N Jain
American Control Conference (ACC), 2018, 246-251, 2018
112018
Incorporating gaze behavior using joint embedding with scene context for driver takeover detection
Y Qiu, C Busso, T Misu, K Akash
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
102022
Optimum Design of an Active Magnetic Bearing considering the Geometric Programming
V Chittlangia, KP Lijesh, K Akash, H Hirani
Technology Letters 1 (3), 23-30, 2014
102014
Trust in shared automated vehicles: Study on two mobility platforms
S Mehrotra, JG Hunter, M Konishi, K Akash, Z Zheng, T Misu, A Kumar, ...
arXiv preprint arXiv:2303.09711, 2023
82023
Learning temporally and semantically consistent unpaired video-to-video translation through pseudo-supervision from synthetic optical flow
K Wang, K Akash, T Misu
Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2477-2486, 2022
82022
Effects of augmented-reality-based assisting interfaces on drivers’ object-wise situational awareness in highly autonomous vehicles
X Gao, X Wu, S Ho, T Misu, K Akash
2022 IEEE Intelligent Vehicles Symposium (IV), 563-572, 2022
82022
Improving human-machine collaboration through transparency-based feedback—Part II: Control design and synthesis. IFAC-PapersOnLine, 51 (34), 322–328
K Akash, T Reid, N Jain
82019
Identification of adaptive driving style preference through implicit inputs in sae l2 vehicles
Z Zheng, K Akash, T Misu, V Krishnamoorthy, M Dong, Y Lee, G Huang
Proceedings of the 2022 International Conference on Multimodal Interaction …, 2022
72022
Toward an adaptive situational awareness support system for urban driving
T Wu, E Sachdeva, K Akash, X Wu, T Misu, J Ortiz
2022 IEEE Intelligent Vehicles Symposium (IV), 1073-1080, 2022
72022
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