Building artificial personalities: expressive communication channels based on an interlingua for a human-robot dance
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Abstract
The development of artificial personalities requires that we
develop a further understanding of how personality is communicated. This can be done through developing humanrobot
interaction (HRI). In this paper we report on the development of the SpiderCrab robot. This uses an interlingua based on Laban Movement Analysis (LMA) to intermediate a human-robot dance. Specifically, we developed measurements to analyse data in real time from a simple vision system and implemented a simple stochastic dancing algorithm on a custom built robot. This shows how, through some simple rules, a personality can emerge by biasing random behaviour. The system was tested with professional dancers and members of the public and the results (formal and anecdotal) are presented herein