Emotional Entanglements and Emotional Sustainability in HRI

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Authors: Hugo Simão, Long-Jing Hsu, Bengisu Cagiltay, Isabel Neto, Christopher D. Wallbridge, Laura Santos, Filipa Rocha, Leigh Levinson, João Silva Sequeira, Tiago Guerreiro, Patricia Alves-Oliveira
Cited by: 1
References: 69

Abstract

Human-Robot Interaction (HRI) research in real-world settings may lead to unanticipated, emotionally charged moments. While impacts of these moments on participants are reported in the literature, researchers’ emotions, which can affect participants’ experiences, are often left unreported. Learning from these moments is essential for advancing HRI quality and real-world deployment success. We introduce "Emotional Entanglements" as a lens in HRI to define a researcher's capacity to anticipate, absorb, respond to, and recover from emotionally impactful events. Collecting testimonials using collaborative autoethnography from eleven researchers, we surface recurring emotional entanglements experienced in HRI studies, including tears with mixed meaning, participant attachment and loss upon robot withdrawal, and consequential participant decisions attributed to the robot, as well as how researchers navigated them amidst protocol constraints. This paper provides an actionable guide to "Emotional Sustainability in HRI", raising awareness of these often unreported situations and offering strategies for mitigation.

Fields of Study & Subjects

Social Robot Interaction and HRI Human-Automation Interaction and Safety Emotion and Mood Recognition

Publication details

Journal / source
Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction
Publisher
ACM
Pages
1098–1107
Publication date
10 March 2026
Language
EN