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User Study Exploring the Role of Explanation of Failures by Robots in Human Robot Collaboration Tasks

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arxiv 2303.16010 v1 pith:JYAMNIOJ submitted 2023-03-28 cs.RO cs.HC

Parag Khanna , Elmira Yadollahi , M{aa}rten Björkman , Iolanda Leite , Christian Smith This is my paper · ORCID
classification cs.ROcs.HC
keywords failuresexplanationhumandifferenthuman-robotrobotrobotscollaboration
verification ladder T0 review T1 audit T2 compute T3 formal
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Despite great advances in what robots can do, they still experience failures in human-robot collaborative tasks due to high randomness in unstructured human environments. Moreover, a human's unfamiliarity with a robot and its abilities can cause such failures to repeat. This makes the ability to failure explanation very important for a robot. In this work, we describe a user study that incorporated different robotic failures in a human-robot collaboration (HRC) task aimed at filling a shelf. We included different types of failures and repeated occurrences of such failures in a prolonged interaction between humans and robots. The failure resolution involved human intervention in form of human-robot bidirectional handovers. Through such studies, we aim to test different explanation types and explanation progression in the interaction and record humans.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. I Can Tell What I am Doing: Toward Real-World Natural Language Grounding of Robot Experiences

    cs.RO 2024-11 conditional novelty 6.0 of 10

    RONAR is an LLM-based framework that narrates a mobile robot's experiences in natural language, and its user studies show that these narrations help people localize and explain robot failures faster than raw video interfaces.

  2. What Can You Say to a Robot? Capability Communication Leads to More Natural Conversations

    cs.RO 2025-02 conditional novelty 5.0 of 10

    Proactively telling users what a restaurant robot can do produced higher enjoyment, greater willingness to reuse the robot, and more conversational user speech than reactive disclosure or no disclosure.

  3. How do Humans take an Object from a Robot: Behavior changes observed in a User Study

    cs.RO 2025-01 conditional novelty 5.0 of 10

    People vary in how they pull objects from a robot, and 48 of 68 participants changed their pulling or handedness behavior across repeated handovers.

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