Abstract
In order to inform the important considerations when designing robotic applications for public spaces, the focus of this research is to investigate what socio-psychological effects should influence robot’s decision-making within public environments. Social environments are often complex and ambiguous: many queries to the robot are collaborative (e.g. a family), but in case of conflicting queries, social robots need to participate in value decisions and negotiating multi-party interactions. With the aim to investigate who should robots adapt to (children or adults) in multi-party situations within human-robot interactions in public spaces, this paper presents a real-world study conducted in a shopping mall. The results include a number of interesting findings based on people’s relationship with a child and their parental status.
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Mussakhojayeva, S., Kalidolda, N., Sandygulova, A. (2017). Adaptive Strategies for Multi-party Interactions with Robots in Public Spaces. In: Kheddar, A., et al. Social Robotics. ICSR 2017. Lecture Notes in Computer Science(), vol 10652. Springer, Cham. https://doi.org/10.1007/978-3-319-70022-9_74
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DOI: https://doi.org/10.1007/978-3-319-70022-9_74
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