3 accepted papers
Scaling social robot studies is constrained due to the need for human interaction, making large participant recruitment impractical. Robotics simulators help mitigate this limitation but generally lack the realism to accurately simulate social cues. We introduce a cognitive robotic simulation scheme
Saliency prediction refers to the computational task of modeling overt attention. Social cues greatly influence our attention, consequently altering our eye movements and behavior. To emphasize the efficacy of such features, we present a neural model for integrating social cues and weighting their…
In this paper, we present an autonomous AI system designed for a Human-Robot Interaction (HRI) study, set around a dice game scenario. We conduct a case study to answer our research question: Does a robot with a socially engaged personality lead to a higher acceptance than a competitive personality?…