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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Acknowledgments
This research is supported by Draper Internal Research & Development. The authors thank Ryan Brill, Brian Kimerer, and Krysta Chauncey for their contributions to this work.
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Harriott, C.E., Garver, S., Cunha, M. (2018). A Motivation for Co-adaptive Human-Robot Interaction. In: Chen, J. (eds) Advances in Human Factors in Robots and Unmanned Systems. AHFE 2017. Advances in Intelligent Systems and Computing, vol 595. Springer, Cham. https://doi.org/10.1007/978-3-319-60384-1_15
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DOI: https://doi.org/10.1007/978-3-319-60384-1_15
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