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Kumar Akash
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2020 – today
- 2024
- [j4]Yuni Lee
, Miaomiao Dong
Driving Aggressively or Conservatively? Investigating the Effects of Automated Vehicle Interaction Type and Road Event on Drivers' Trust and Preferred Driving Style. Hum. Factors 66(9): 2166-2178 (2024) - [c23]Sidney T. Scott-Sharoni
Can we enhance prosocial behavior? Using post-ride feedback to improve micromobility interactions. AutomotiveUI 2024: 294-304 - [c22]Sooyeon Kim
Prosociality Matters: How Does Prosocial Behavior in Interdependent Situations Influence the Well-being and Cognition of Road Users? AutomotiveUI 2024: 395-404 - [c21]Vivienne Bihe Chi
Should I Help a Delivery Robot? Cultivating Prosocial Norms through Observations. CHI Extended Abstracts 2024: 289:1-289:7 - [c20]Zhaobo Zheng
DualTake: Predicting Takeovers across Mobilities for Future Personalized Mobility Services. HRI (Companion) 2024: 1194-1198 - [c19]Minxue Niu, Zhaobo K. Zheng, Kumar Akash, Teruhisa Misu:
Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction In Autonomous Vehicles. ICASSP 2024: 5615-5619 - [i16]Zhaobo Zheng, Kumar Akash, Teruhisa Misu:
DualTake: Predicting Takeovers across Mobilities for Future Personalized Mobility Services. CoRR abs/2401.10175 (2024) - [i15]Vivienne Bihe Chi, Shashank Mehrotra, Teruhisa Misu, Kumar Akash:
Should I Help a Delivery Robot? Cultivating Prosocial Norms through Observations. CoRR abs/2403.19027 (2024) - [i14]Sidney T. Scott-Sharoni, Shashank Mehrotra, Kevin Salubre, Miao Song, Teruhisa Misu, Kumar Akash:
Can we enhance prosocial behavior? Using post-ride feedback to improve micromobility interactions. CoRR abs/2409.03153 (2024) - [i13]Vivienne Bihe Chi, Elise Ulwelling, Kevin Salubre, Shashank Mehrotra, Teruhisa Misu, Kumar Akash:
More than just a Tool: People's Perception and Acceptance of Prosocial Delivery Robots as Fellow Road Users. CoRR abs/2409.07815 (2024) - 2023
- [j3]Yilun Xing, Sami Park, Kumar Akash, Teruhisa Misu, Linda Ng Boyle:
The Impact of Environmental Features on Drivers' Situation Awareness Using Real-World Driving Scenarios. Int. J. Hum. Comput. Interact. 39(16): 3203-3212 (2023) - [c18]Aakriti Kumar
When Do Drivers Intervene In Autonomous Driving? HRI (Companion) 2023: 301-305 - [c17]Shashank Mehrotra, Zahra Zahedi, Teruhisa Misu, Kumar Akash:
Wellbeing in Future Mobility: Toward AV Policy Design to Increase Wellbeing through Interactions. ITSC 2023: 3275-3282 - [c16]Mengyao Li, Shashank Mehrotra, Kumar Akash, Teruhisa Misu, John D. Lee:
You Cooperate, I Reciprocate: Well-Being and Trust in Automated Vehicles. ITSC 2023: 5932-5939 - [c15]Fatemeh Koochaki, Zhaobo K. Zheng, Kumar Akash, Teruhisa Misu:
Learn-able Evolution Convolutional Siamese Neural Network for Adaptive Driving Style Preference Prediction. IV 2023: 1-7 - [i12]Shashank Mehrotra, Jacob G. Hunter, Matthew Konishi, Kumar Akash, Zhaobo Zheng, Teruhisa Misu, Anil Kumar, Tahira Reid, Neera Jain:
Trust in Shared Automated Vehicles: Study on Two Mobility Platforms. CoRR abs/2303.09711 (2023) - [i11]Shashank Mehrotra, Zahra Zahedi, Teruhisa Misu, Kumar Akash:
Wellbeing in Future Mobility: Toward AV Policy Design to Increase Wellbeing through Interactions. CoRR abs/2310.01669 (2023) - [i10]Minxue Niu, Zhaobo Zheng, Kumar Akash, Teruhisa Misu:
Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles. CoRR abs/2312.10209 (2023) - 2022
- [c14]Kaihong Wang, Kumar Akash, Teruhisa Misu:
Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow. AAAI 2022: 2477-2486 - [c13]Sami Park, Yilun Xing, Kumar Akash, Teruhisa Misu, Linda Ng Boyle:
The Impact of Environmental Complexity on Drivers' Situation Awareness. UI 2022: 131-138 - [c12]Zahra Sajedinia, Kumar Akash, Zhaobo Zheng, Teruhisa Misu, Miaomiao Dong
Investigating Users' Preferences in Adaptive Driving Styles for Level 2 Driving Automation. UI 2022: 162-170 - [c11]Manisha Natarajan
Toward Adaptive Driving Styles for Automated Driving with Users' Trust and Preferences. HRI 2022: 940-944 - [c10]Yuning Qiu, Carlos Busso, Teruhisa Misu, Kumar Akash:
Incorporating Gaze Behavior Using Joint Embedding With Scene Context for Driver Takeover Detection. ICASSP 2022: 4633-4637 - [c9]Zhaobo Zheng
Identification of Adaptive Driving Style Preference through Implicit Inputs in SAE L2 Vehicles. ICMI 2022: 468-475 - [c8]Zhaobo K. Zheng, Kumar Akash, Teruhisa Misu:
Detection of Perceived Discomfort in SAE L2 Automated Vehicles through Driver Takeovers and Physiological Spikes. ITSC 2022: 1717-1722 - [c7]Xiaofeng Gao
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles. IV 2022: 563-572 - [c6]Tong Wu, Enna Sachdeva, Kumar Akash, Xingwei Wu, Teruhisa Misu, Jorge Ortiz:
Toward an Adaptive Situational Awareness Support System for Urban Driving. IV 2022: 1073-1080 - [i9]Kaihong Wang, Kumar Akash, Teruhisa Misu:
Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flow. CoRR abs/2201.05723 (2022) - [i8]Xiaofeng Gao, Xingwei Wu, Samson Ho, Teruhisa Misu, Kumar Akash:
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles. CoRR abs/2206.02332 (2022) - [i7]Zhaobo Zheng, Kumar Akash, Teruhisa Misu, Vidya Krishnamoorthy, Miaomiao Dong, Yuni Lee, Gaojian Huang:
Identification of Adaptive Driving Style Preference through Implicit Inputs in SAE L2 Vehicles. CoRR abs/2209.10536 (2022) - [i6]Jacob G. Hunter, Matthew Konishi, Neera Jain, Kumar Akash, Xingwei Wu, Teruhisa Misu, Tahira Reid:
The Interaction Gap: A Step Toward Understanding Trust in Autonomous Vehicles Between Encounters. CoRR abs/2209.10640 (2022) - 2021
- [c5]Haibei Zhu, Teruhisa Misu, Sujitha Martin, Xingwei Wu, Kumar Akash:
Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism. IROS 2021: 6210-6216 - [c4]Jundi Liu
Clustering Human Trust Dynamics for Customized Real-Time Prediction. ITSC 2021: 1705-1712 - [i5]Jundi Liu, Kumar Akash, Teruhisa Misu, Xingwei Wu:
Clustering Human Trust Dynamics for Customized Real-time Prediction. CoRR abs/2110.04437 (2021) - [i4]Haibei Zhu, Teruhisa Misu, Sujitha Martin, Xingwei Wu, Kumar Akash:
Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism. CoRR abs/2111.00087 (2021) - 2020
- [c3]Kumar Akash, Neera Jain, Teruhisa Misu:
Toward Adaptive Trust Calibration for Level 2 Driving Automation. ICMI 2020: 538-547 - [i3]Kumar Akash, Griffon McMahon, Tahira Reid, Neera Jain:
Human Trust-based Feedback Control: Dynamically varying automation transparency to optimize human-machine interactions. CoRR abs/2006.16353 (2020) - [i2]Kumar Akash, Neera Jain, Teruhisa Misu:
Toward Adaptive Trust Calibration for Level 2 Driving Automation. CoRR abs/2009.11890 (2020)
2010 – 2019
- 2019
- [j2]Wan-Lin Hu
Computational Modeling of the Dynamics of Human Trust During Human-Machine Interactions. IEEE Trans. Hum. Mach. Syst. 49(6): 485-497 (2019) - 2018
- [j1]Kumar Akash
A Classification Model for Sensing Human Trust in Machines Using EEG and GSR. ACM Trans. Interact. Intell. Syst. 8(4): 27:1-27:20 (2018) - [c2]Kumar Akash
Adaptive Probabilistic Classification of Dynamic Processes: A Case Study on Human Trust in Automation. ACC 2018: 246-251 - [i1]Kumar Akash, Wan-Lin Hu, Neera Jain, Tahira Reid:
A Classification Model for Sensing Human Trust in Machines Using EEG and GSR. CoRR abs/1803.09861 (2018) - 2017
- [c1]Kumar Akash
Dynamic modeling of trust in human-machine interactions. ACC 2017: 1542-1548
Coauthor Index
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