User Concerns Regarding Social Robots for Mood Regulation

A Case Study on the “Sunday Blues”

Conference Paper (2026)
Author(s)

Zhuochao Peng (TU Delft - Form and Experience)

Jiaxin Xu (Eindhoven University of Technology)

Jun Hu (Eindhoven University of Technology)

Haian Xue (Tongji University)

Laurens A.G. Kolks (TU Delft - Form and Experience)

Pieter M.A. Desmet (TU Delft - Form and Experience)

DOI related publication
https://doi.org/10.1007/978-981-95-2379-5_5 Final published version
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Publication Year
2026
Language
English
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Pages (from-to)
59-79
Publisher
Springer
ISBN (print)
9789819523788
Event
17th International Conference on Social Robotics, ICSR+AI 2025 (2025-09-10 - 2025-09-12), Naples, Italy
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Abstract

While recent research highlights the potential of social robots to support mood regulation, little is known about how prospective users view their integration into everyday life. To explore this, we conducted an exploratory case study that used a speculative robot concept—Mora—to provoke reflection and facilitate meaningful discussion about using social robots to manage subtle, day-to-day emotional experiences. We focused on the “Sunday Blues,” a common dip in mood that occurs at the end of the weekend, as a relatable context in which to explore individuals’ insights. Using a video prototype and a co-constructing stories method, we engaged 15 participants in imagining interactions with Mora and discussing their expectations, doubts, and concerns. The study surfaced a range of nuanced reflections around the attributes of social robots like empathy, intervention effectiveness, and ethical boundaries, which we translated into design considerations for future research and development in human-robot interaction.

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