A motivation for co-adaptive human-robot interaction

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Abstract

As robotic technology advances, we experience a shift from seeing robots behind a barrier to working with robots as teammates. Building co-adaptive human-robot relationships will enable better teamwork between a human and a robot. Co-adaptive agents adapt their behavior over time in response to a dynamic understanding of the individual human operator. Creating a co-adaptive human-robot team requires bi-directional and non-invasive communication between the human and the robot. The presented study investigates the impact of individual traits on performance with three styles of adapting software. Results from this study indicate a need to tailor a co-adaptive robot’s behavior for the individual, including operator traits – specifically dispositional trust and extraversion.

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Harriott, C. E., Garver, S., & Cunha, M. (2018). A motivation for co-adaptive human-robot interaction. In Advances in Intelligent Systems and Computing (Vol. 595, pp. 148–160). Springer Verlag. https://doi.org/10.1007/978-3-319-60384-1_15

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