30 citations · 35 across the 10 of their papers we have counts for
7 papers · 1 filter
ERR@HRI 3.0 Challenge: Multimodal Detection of Errors and Anticipation in Human-Robot Interactions
Maria Teresa Parreira, Micol Spitale, Maia Stiber +5
As robots become increasingly integrated into human environments, their ability to detect and respond to errors remains critical for maintaining user trust and interaction quality.…
Signal or 'Noise': Human Reactions to Robot Errors in the Wild
Maia Stiber, Sameer Khan, Russell Taylor +1
In the real world, robots frequently make errors, yet little is known about people's social responses to errors outside of lab settings. Prior work has shown that social signals ar…
ERR@HRI 2.0 Challenge: Multimodal Detection of Errors and Failures in Human-Robot Conversations
Shiye Cao, Maia Stiber, Amama Mahmood +5
The integration of large language models (LLMs) into conversational robots has made human-robot conversations more dynamic. Yet, LLM-powered conversational robots remain prone to e…
Xpress: A System For Dynamic, Context-Aware Robot Facial Expressions using Language Models
Victor Nikhil Antony, Maia Stiber, Chien-Ming Huang
Facial expressions are vital in human communication and significantly influence outcomes in human-robot interaction (HRI), such as likeability, trust, and companionship. However, c…
Robot Error Awareness Through Human Reactions: Implementation, Evaluation, and Recommendations
Maia Stiber, Russell Taylor, Chien-Ming Huang
Effective error detection is crucial to prevent task disruption and maintain user trust. Traditional methods often rely on task-specific models or user reporting, which can be infl…
ERR@HRI 2024 Challenge: Multimodal Detection of Errors and Failures in Human-Robot Interactions
Micol Spitale, Maria Teresa Parreira, Maia Stiber +7
Despite the recent advancements in robotics and machine learning (ML), the deployment of autonomous robots in our everyday lives is still an open challenge. This is due to multiple…
Modeling Human Response to Robot Errors for Timely Error Detection
Maia Stiber, Russell Taylor, Chien-Ming Huang
In human-robot collaboration, robot errors are inevitable -- damaging user trust, willingness to work together, and task performance. Prior work has shown that people naturally res…