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Break the Ice: a Survey on Socially Aware Engagement for Human Robot First Encounters
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Orientador(es)
Resumo(s)
Society is starting to come up with exciting applications for social robots like butlers, coaches, and waiters. However, these
robots face a challenging task: to meet people during a first encounter. This survey explores the literature that contributes
to this task. We define a taxonomy based on psychology and sociology models: Kendon’s greeting model and Greenspan’s
model of social competence. We use Kendon’s model as a framework to compare and analyze works that describe robotic
systems that engage with people. To categorize individual skills, we use three components of Social Awareness that belong to
Greenspan’s model: Social Sensitivity, Social Insight, and Communication. Under each section, we highlight some research
gaps and propose research directions to address them. Through our analysis, we suggest significant research directions for
enhanced first encounters. First, social scripts need to be evaluated under equal conditions. Second, interaction management
and tracking for first encounters should consider state and observation uncertainties. Third, perception methods need lighter
and robust integration in mobile platforms. Fourth, methods to explicitly define social norms.
Descrição
Palavras-chave
Survey Human-robot interaction Social robots First encounters Social feedback
Contexto Educativo
Citação
Avelino, J., Garcia-Marques, L., Ventura, R., & Bernardino, A. (2021). Break the ice: a survey on socially aware engagement for human–robot first encounters. International Journal of Social Robotics, 13(8), 1851-1877. https://doi.org/10.1007/s12369-020-00720-2
Editora
Springer