6 citations · 14 across the 17 of their papers we have counts for
17 papers
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.…
Visible Adoption, Untracked Contribution: GitHub Evidence of the Accountability Gap Across Three Cohorts of an HCI Prototyping Course
Maria Teresa Parreira, Pranav Prabhat Sinha, Hauke Sandhaus +1
This paper presents a longitudinal, observational case study of how student GenAI adoption shifted across three cohorts (Fall 2022, 2023, and 2025) of the same graduate-level HCI p…
Calling for Backup: How Children Navigate Successive Robot Communication Failures
Maria Teresa Parreira, Isabel Neto, Filipa Rocha +1
How do children respond to repeated robot errors? While prior research has examined adult reactions to successive robot errors, children's responses remain largely unexplored. In t…
"Why the face?": Exploring Robot Error Detection Using Instrumented Bystander Reactions
Maria Teresa Parreira, Ruidong Zhang, Sukruth Gowdru Lingaraju +7
How do humans recognize and rectify social missteps? We achieve social competence by looking around at our peers, decoding subtle cues from bystanders - a raised eyebrow, a laugh -…
Training Models to Detect Successive Robot Errors from Human Reactions
Shannon Liu, Maria Teresa Parreira, Wendy Ju
As robots become more integrated into society, detecting robot errors is essential for effective human-robot interaction (HRI). When a robot fails repeatedly, how can it know when…
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…