Analyzing Reluctance to Ask for Help When Cooperating With Robots: Insights to Integrate Artificial Agents in HRC

Fuente: arXiv
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Main Authors: Martin, Ane San, Hagenow, Michael, Shah, Julie, Kildal, Johan, Lazkano, Elena
Format: Preprint
Published: 2025
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author Martin, Ane San
Hagenow, Michael
Shah, Julie
Kildal, Johan
Lazkano, Elena
author_facet Martin, Ane San
Hagenow, Michael
Shah, Julie
Kildal, Johan
Lazkano, Elena
contents As robot technology advances, collaboration between humans and robots will become more prevalent in industrial tasks. When humans run into issues in such scenarios, a likely future involves relying on artificial agents or robots for aid. This study identifies key aspects for the design of future user-assisting agents. We analyze quantitative and qualitative data from a user study examining the impact of on-demand assistance received from a remote human in a human-robot collaboration (HRC) assembly task. We study scenarios in which users require help and we assess their experiences in requesting and receiving assistance. Additionally, we investigate participants' perceptions of future non-human assisting agents and whether assistance should be on-demand or unsolicited. Through a user study, we analyze the impact that such design decisions (human or artificial assistant, on-demand or unsolicited help) can have on elicited emotional responses, productivity, and preferences of humans engaged in HRC tasks.
format Preprint
id arxiv_https___arxiv_org_abs_2509_01450
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Analyzing Reluctance to Ask for Help When Cooperating With Robots: Insights to Integrate Artificial Agents in HRC
Martin, Ane San
Hagenow, Michael
Shah, Julie
Kildal, Johan
Lazkano, Elena
Robotics
Human-Computer Interaction
As robot technology advances, collaboration between humans and robots will become more prevalent in industrial tasks. When humans run into issues in such scenarios, a likely future involves relying on artificial agents or robots for aid. This study identifies key aspects for the design of future user-assisting agents. We analyze quantitative and qualitative data from a user study examining the impact of on-demand assistance received from a remote human in a human-robot collaboration (HRC) assembly task. We study scenarios in which users require help and we assess their experiences in requesting and receiving assistance. Additionally, we investigate participants' perceptions of future non-human assisting agents and whether assistance should be on-demand or unsolicited. Through a user study, we analyze the impact that such design decisions (human or artificial assistant, on-demand or unsolicited help) can have on elicited emotional responses, productivity, and preferences of humans engaged in HRC tasks.
title Analyzing Reluctance to Ask for Help When Cooperating With Robots: Insights to Integrate Artificial Agents in HRC
topic Robotics
Human-Computer Interaction
url https://arxiv.org/abs/2509.01450