Kumar Akash

Orcid: 0000-0003-2807-0943

According to our database1, Kumar Akash authored at least 27 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Should I Help a Delivery Robot? Cultivating Prosocial Norms through Observations.
CoRR, 2024

DualTake: Predicting Takeovers across Mobilities for Future Personalized Mobility Services.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
The Impact of Environmental Features on Drivers' Situation Awareness Using Real-World Driving Scenarios.
Int. J. Hum. Comput. Interact., October, 2023

Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles.
CoRR, 2023

Trust in Shared Automated Vehicles: Study on Two Mobility Platforms.
CoRR, 2023

Learn-able Evolution Convolutional Siamese Neural Network for Adaptive Driving Style Preference Prediction.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Wellbeing in Future Mobility: Toward AV Policy Design to Increase Wellbeing through Interactions.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

You Cooperate, I Reciprocate: Well-Being and Trust in Automated Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

When Do Drivers Intervene In Autonomous Driving?
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

2022
The Interaction Gap: A Step Toward Understanding Trust in Autonomous Vehicles Between Encounters.
CoRR, 2022

Toward an Adaptive Situational Awareness Support System for Urban Driving.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Detection of Perceived Discomfort in SAE L2 Automated Vehicles through Driver Takeovers and Physiological Spikes.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Identification of Adaptive Driving Style Preference through Implicit Inputs in SAE L2 Vehicles.
Proceedings of the International Conference on Multimodal Interaction, 2022

Incorporating Gaze Behavior Using Joint Embedding With Scene Context for Driver Takeover Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

Toward Adaptive Driving Styles for Automated Driving with Users' Trust and Preferences.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Investigating Users' Preferences in Adaptive Driving Styles for Level 2 Driving Automation.
Proceedings of the AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Seoul, Republic of Korea, September 17, 2022

The Impact of Environmental Complexity on Drivers' Situation Awareness.
Proceedings of the AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Seoul, Republic of Korea, September 17, 2022

Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Clustering Human Trust Dynamics for Customized Real-Time Prediction.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Human Trust-based Feedback Control: Dynamically varying automation transparency to optimize human-machine interactions.
CoRR, 2020

Toward Adaptive Trust Calibration for Level 2 Driving Automation.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

2019
Computational Modeling of the Dynamics of Human Trust During Human-Machine Interactions.
IEEE Trans. Hum. Mach. Syst., 2019

2018
A Classification Model for Sensing Human Trust in Machines Using EEG and GSR.
ACM Trans. Interact. Intell. Syst., 2018

Adaptive Probabilistic Classification of Dynamic Processes: A Case Study on Human Trust in Automation.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Dynamic modeling of trust in human-machine interactions.
Proceedings of the 2017 American Control Conference, 2017


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