Towards a wave approach for value sensitive design in social robotics
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Author (Corporation)
Publication date
2023
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Type
04B - Conference paper
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Parent work
HRI '23 companion. Companion of the ACM/IEEE International Conference on Human-Robot Interaction
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Issue / Number
Pages / Duration
592-596
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Publisher / Publishing institution
ACM
Place of publication / Event location
Stockholm
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Abstract
Even though a broad range of social robots are currently available on the market, social robots are not yet an integral part of companies, healthcare providers, or public institutions. This might be due to the fact that the prevalent developer perspective immanently focuses on technological advancements, whereas a human-centered view remains underrepresented. In this paper, we argue that a human-centered perspective which integrates values and beliefs of relevant technology stakeholders needs to complement existing approaches to social robot design. Therefore, we propose to apply value sensitive design (VSD) to improve the process of social robot development and design. Even though VSD has become popular in recent years and it represents an established approach to foster innovative technologies, it has not yet been widely applied in the context of social robotics. Concretely, in this paper we will outline the added value of using VSD for social robots and we will explain how to utilize this methodology to enrich research and practice in social robotics.
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Subject (DDC)
Event
18th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI 2023)
Exhibition start date
Exhibition end date
Conference start date
13.03.2023
Conference end date
16.03.2023
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ISBN
978-1-4503-9970-8
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
Open access category
Green
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Citation
Schmiedel, T., Zhong, J., & Eyssel, F. (2023). Towards a wave approach for value sensitive design in social robotics. HRI ’23 Companion. Companion of the ACM/IEEE International Conference on Human-Robot Interaction, 592–596. https://doi.org/10.1145/3568294.3580154