Values in social robots : implementing inclusive, value-aware human-robot interactions
- Author
- Giulio Antonio Abbo (UGent) and Tony Belpaeme (UGent)
- Organization
- Project
- Abstract
- Developing value-aware social robots is crucial to improve human-robot interactions, as current designs often lack sensitivity to users' diverse values, impacting inclusivity and user experience. By integrating value-aware mechanisms, robots could adapt to contextual cues like cultural or ethical norms. Our research proposes to implement a value-aware architecture inspired by the global neuronal workspace theory, using the Robot Operating System as the supporting framework, powered by large language models for real-time understanding of user preferences and common ground. Mitigating the models' bias to ensure cultural inclusivity is a key priority. The research carried out so far includes focus groups, a scoping review, and an assessment of the value alignment of several large language models and vision language models. The main challenges are understanding how to model and learn human values, and how to shape the robot's behaviour accordingly. The evaluation will rely on user studies, with a focus on users' experience and inclusivity, aiming to enhance the relevance and sensitivity of social robots for diverse users in everyday interactions.
- Keywords
- ethic, awareness, ros, global neuronal workspace, Dehaene-Changeux model, large language model
Downloads
-
(...).pdf
- full text (Published version)
- |
- UGent only
- |
- |
- 2.66 MB
-
DS882 acc.pdf
- full text (Accepted manuscript)
- |
- open access
- |
- |
- 1.90 MB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01JPSK5Q01WFBADY3PNXHKB6WY
- MLA
- Abbo, Giulio Antonio, and Tony Belpaeme. “Values in Social Robots : Implementing Inclusive, Value-Aware Human-Robot Interactions.” 2025 20TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI, IEEE, 2025, pp. 1826–28, doi:10.1109/HRI61500.2025.10974149.
- APA
- Abbo, G. A., & Belpaeme, T. (2025). Values in social robots : implementing inclusive, value-aware human-robot interactions. 2025 20TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI, 1826–1828. https://doi.org/10.1109/HRI61500.2025.10974149
- Chicago author-date
- Abbo, Giulio Antonio, and Tony Belpaeme. 2025. “Values in Social Robots : Implementing Inclusive, Value-Aware Human-Robot Interactions.” In 2025 20TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI, 1826–28. IEEE. https://doi.org/10.1109/HRI61500.2025.10974149.
- Chicago author-date (all authors)
- Abbo, Giulio Antonio, and Tony Belpaeme. 2025. “Values in Social Robots : Implementing Inclusive, Value-Aware Human-Robot Interactions.” In 2025 20TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI, 1826–1828. IEEE. doi:10.1109/HRI61500.2025.10974149.
- Vancouver
- 1.Abbo GA, Belpaeme T. Values in social robots : implementing inclusive, value-aware human-robot interactions. In: 2025 20TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI. IEEE; 2025. p. 1826–8.
- IEEE
- [1]G. A. Abbo and T. Belpaeme, “Values in social robots : implementing inclusive, value-aware human-robot interactions,” in 2025 20TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI, Melbourne, Australia, 2025, pp. 1826–1828.
@inproceedings{01JPSK5Q01WFBADY3PNXHKB6WY,
abstract = {{Developing value-aware social robots is crucial to improve human-robot interactions, as current designs often lack sensitivity to users' diverse values, impacting inclusivity and user experience. By integrating value-aware mechanisms, robots could adapt to contextual cues like cultural or ethical norms. Our research proposes to implement a value-aware architecture inspired by the global neuronal workspace theory, using the Robot Operating System as the supporting framework, powered by large language models for real-time understanding of user preferences and common ground. Mitigating the models' bias to ensure cultural inclusivity is a key priority. The research carried out so far includes focus groups, a scoping review, and an assessment of the value alignment of several large language models and vision language models. The main challenges are understanding how to model and learn human values, and how to shape the robot's behaviour accordingly. The evaluation will rely on user studies, with a focus on users' experience and inclusivity, aiming to enhance the relevance and sensitivity of social robots for diverse users in everyday interactions.}},
author = {{Abbo, Giulio Antonio and Belpaeme, Tony}},
booktitle = {{2025 20TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI}},
isbn = {{9798350378948}},
issn = {{2167-2121}},
keywords = {{ethic,awareness,ros,global neuronal workspace,Dehaene-Changeux model,large language model}},
language = {{eng}},
location = {{Melbourne, Australia}},
pages = {{1826--1828}},
publisher = {{IEEE}},
title = {{Values in social robots : implementing inclusive, value-aware human-robot interactions}},
url = {{http://doi.org/10.1109/HRI61500.2025.10974149}},
year = {{2025}},
}
- Altmetric
- View in Altmetric
- Web of Science
- Times cited: