REFLEX Dataset: A Multimodal Dataset of Human Reactions to Robot Failures and Explanations

Fuente: arXiv
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Main Authors: Khanna, Parag, Naoum, Andreas, Yadollahi, Elmira, Björkman, Mårten, Smith, Christian
Format: Preprint
Published: 2025
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author Khanna, Parag
Naoum, Andreas
Yadollahi, Elmira
Björkman, Mårten
Smith, Christian
author_facet Khanna, Parag
Naoum, Andreas
Yadollahi, Elmira
Björkman, Mårten
Smith, Christian
contents This work presents REFLEX: Robotic Explanations to FaiLures and Human EXpressions, a comprehensive multimodal dataset capturing human reactions to robot failures and subsequent explanations in collaborative settings. It aims to facilitate research into human-robot interaction dynamics, addressing the need to study reactions to both initial failures and explanations, as well as the evolution of these reactions in long-term interactions. By providing rich, annotated data on human responses to different types of failures, explanation levels, and explanation varying strategies, the dataset contributes to the development of more robust, adaptive, and satisfying robotic systems capable of maintaining positive relationships with human collaborators, even during challenges like repeated failures.
format Preprint
id arxiv_https___arxiv_org_abs_2502_14185
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle REFLEX Dataset: A Multimodal Dataset of Human Reactions to Robot Failures and Explanations
Khanna, Parag
Naoum, Andreas
Yadollahi, Elmira
Björkman, Mårten
Smith, Christian
Robotics
This work presents REFLEX: Robotic Explanations to FaiLures and Human EXpressions, a comprehensive multimodal dataset capturing human reactions to robot failures and subsequent explanations in collaborative settings. It aims to facilitate research into human-robot interaction dynamics, addressing the need to study reactions to both initial failures and explanations, as well as the evolution of these reactions in long-term interactions. By providing rich, annotated data on human responses to different types of failures, explanation levels, and explanation varying strategies, the dataset contributes to the development of more robust, adaptive, and satisfying robotic systems capable of maintaining positive relationships with human collaborators, even during challenges like repeated failures.
title REFLEX Dataset: A Multimodal Dataset of Human Reactions to Robot Failures and Explanations
topic Robotics
url https://arxiv.org/abs/2502.14185