Conference paper not in proceedings
Making robot’s attitudes predictable: a stereotype content model for human-robot interaction in groups
Raquel Oliveira (Oliveira, R.); Patrícia Arriaga (Arriaga, P.); Filipa Correia (Correia, F.); Ana Paiva (Paiva, A.);
Event Title
Workshop Explainable Robotic Systems
Year (definitive publication)
2018
Language
English
Country
United States of America
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Times Cited: 1

(Last checked: 2025-01-13 10:19)

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Abstract
Stereotypes play a key role both in human and in robot perception. As such, these may play an important role in predicting behavior towards the targets of said stereotypes. In this paper, we argue for the usefulness of exploring how stable dimensions of stereotype content, more specific?ally warmth and competence, apply to HRI. We propose to do so by examining the impact of these characteristics, displayed by robots, on the emotions, behaviors and future intention of participants to interact and work with robots. We chose these two stereotypical dimensions given that research has demonstrated their underlying and ubiquitous influence on people perception and responses. Moreover, we decided to explore this issue in the context of small group interactions due to the ever-common nature of this type of social arrangements in people’s everyday life.
Acknowledgements
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Keywords
Stereotype content model,Emotions,Intentions to work,Human-robot interaction
Funding Records
Funding Reference Funding Entity
UID/PSI/03125/2013 Fundação para a Ciência e a Tecnologia