# Helping or watching it happen: how participants respond to robot failures in a turn-taking game

**Authors:** Samantha Stedtler, Katherine Harrison, Valentina Fantasia

PMC · DOI: 10.3389/frobt.2025.1664334 · Frontiers in Robotics and AI · 2026-02-06

## TL;DR

This study explores how humans respond to robot failures during a game, showing how they help robots and negotiate roles in the interaction.

## Contribution

The study introduces a detailed analysis of real-time human responses to robot failures, emphasizing distributed help and dynamic agency negotiation.

## Key findings

- Participants used various helping behaviors like physical repair and emotional support to maintain interactional continuity.
- Agency and responsibilities were dynamically negotiated between humans and the robot during failure episodes.
- The robot's failures often shifted the burden of repair onto human participants.

## Abstract

Robot failures in Human-Robot Interaction (HRI), though often stemming from technical limitations, can have severe effects on the interactional dynamics between humans and robots. Prior empirical research has led to conflicting findings on how such failures influence user perceptions and the overall success of the interaction. In this study, we investigate how human participants respond to robot failures on a moment-to-moment basis, with a particular focus on how social roles, responsibilities, and agency are negotiated as these episodes unfold. We examine how responses and helping behaviors are instantiated, and which factors facilitate or hinder recovery strategies. We focus on kinematic failures, such as interruptions in motion, unsuccessful grasping, or dropping objects, that occurred during Tic-Tac-Toe games between human participants (n = 17) and the humanoid robot Epi. Our analysis combines multimodal conversation analysis (MCA) and thick description, drawing on our interdisciplinary backgrounds in cognitive science and feminist Science and Technology Studies (STS). We present selected interactional sequences that illustrate a range of participant responses, including physical repair and scaffolding, interpretive support, emotional care, sustained monitoring, and dynamic negotiation of agency. These observations demonstrate how humans co-construct interactional continuity and robot competence through distributed, multimodal, and affective forms of help. They also reveal how agency is dynamically reconfigured, and how roles and responsibilities are distributed across human and robotic actors. We show how the burden of repair often falls to the human participant and conclude by reflecting on the setting and methods used, specifically in regards to the role of the robot as a research tool.

## Full-text entities

- **Genes:** TFPI (tissue factor pathway inhibitor) [NCBI Gene 7035] {aka EPI, LACI, TFI, TFPI1}
- **Diseases:** HRI (MESH:C563663), dementia (MESH:D003704), stroke (MESH:D020521), fatigue (MESH:D005221)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12921409/full.md

## References

116 references — full list in the complete paper: https://tomesphere.com/paper/PMC12921409/full.md

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Source: https://tomesphere.com/paper/PMC12921409