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20212026
most citedEnabling Team of Teams: A Trust Inference and Propagation (TIP) Model in Multi-Human Multi-Robot Teams

23 citations · 41 across the 8 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.RO2023

Evaluating the Impact of Personalized Value Alignment in Human-Robot Interaction: Insights into Trust and Team Performance Outcomes

Shreyas Bhat, Joseph B. Lyons, Cong Shi +1

This paper examines the effect of real-time, personalized alignment of a robot's reward function to the human's values on trust and team performance. We present and compare three d…

cs.RO2023★ 2 cited

Effect of Adapting to Human Preferences on Trust in Human-Robot Teaming

Shreyas Bhat, Joseph B. Lyons, Cong Shi +1

We present the effect of adapting to human preferences on trust in a human-robot teaming task. The team performs a task in which the robot acts as an action recommender to the huma…

cs.RO2023★ 1 cited

Reward Shaping for Building Trustworthy Robots in Sequential Human-Robot Interaction

Yaohui Guo, X. Jessie Yang, Cong Shi

Trust-aware human-robot interaction (HRI) has received increasing research attention, as trust has been shown to be a crucial factor for effective HRI. Research in trust-aware HRI…

cs.RO2023★ 23 cited

Enabling Team of Teams: A Trust Inference and Propagation (TIP) Model in Multi-Human Multi-Robot Teams

Yaohui Guo, X. Jessie Yang, Cong Shi

Trust has been identified as a central factor for effective human-robot teaming. Existing literature on trust modeling predominantly focuses on dyadic human-autonomy teams where on…

cs.RO2023★ 14 cited

TIP: A Trust Inference and Propagation Model in Multi-Human Multi-Robot Teams

Yaohui Guo, X. Jessie Yang, Cong Shi

Trust has been identified as a central factor for effective human-robot teaming. Existing literature on trust modeling predominantly focuses on dyadic human-autonomy teams where on…