Modelling Human Memory in Robotic Companions for Personalisation and Long-term Adaptation in HRI
Proceedings of the 2010 conference on Biologically Inspired Cognitive Architectures 2010: Proceedings of the First Annual Meeting of the BICA Society
A path prediction method for human-accompanying mobile robot based on neural network
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
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This paper presents five exploratory trials investigating scenarios likely to occur when a personal robot shares a home with a person. The scenarios are: a human and robot working on a collaborative task, a human and robot sharing a physical space in a domestic setting, a robot recording and revealing personal information, a robot interrupting a human in order to serve them, and finally, a robot seeking assistance from a human through various combinations of physical and verbal cues. Findings indicate that participants attribute more blame and less credit to a robot than compared to themselves when working together on a collaborative task. Safety is a main concern when determining participants' comfort when sharing living space with their robot. Findings suggest that the robot should keep its interruption of the user's activities to a minimum. Participants were happy for the robot to store information which is essential for the robot to improve its functionality. However, their main concerns were related to the storing of sensitive information and security measures to safeguard such information.