From the 1 of 8 linked papers with an AI index.
8 papers
ERR@HRI 3.0 Challenge: Multimodal Detection of Errors and Anticipation in Human-Robot Interactions
Maria Teresa Parreira, Micol Spitale, Maia Stiber +5
The paper presents the ERR@HRI 3.0 Challenge, which provides two naturalistic video datasets for developing multimodal machine learning models that detect bystander reactions to ro…
Better Adherence, Richer Context: A Field Evaluation of LLM-Powered Conversational Voice Diaries for Sleep
Amama Mahmood, Bokyung Kim, Honghao Zhao +4
Sleep diaries are central to behavioral sleep medicine and cognitive behavioral therapy for insomnia, yet daily completion is difficult to sustain, and static forms often provide l…
Conversational Agents in Behavioral Sleep Medicine: Designing Self-Report and Analytics Tools
Amama Mahmood, Bokyung Kim, Honghao Zhao +4
The sleep diary is a widely used clinical tool for understanding and treating sleep disorders in Behavioral Sleep Medicine (BSM); however, low patient compliance and limited captur…
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…
"Mango Mango, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner
Szeyi Chan, Jiachen Li, Bingsheng Yao +5
The rapid advancement of Large Language Models (LLMs) has created numerous potentials for integration with conversational assistants (CAs) assisting people in their daily tasks, pa…
Interruption Handling for Conversational Robots
Shiye Cao, Jiwon Moon, Amama Mahmood +4
Interruptions, a fundamental component of human communication, can enhance the dynamism and effectiveness of conversations, but only when effectively managed by all parties involve…