Abstract
This paper presents a human-agent interaction framework for emotional regulation through emotional interaction with a virtual agent that uses a consensus-based algorithm. This model-based framework provides a parameterized and dynamic approach for emotional interaction with an agent that can be applied to social robot-based therapies and virtual agent-based socio-emotional interaction studies. The extended goal of this study is to develop a human-robot interaction framework that can implement emotion regulation (ER) for children with Autism spectrum disorder (ASD). This paper describes the algorithmic approach for the design of this framework, as well as a user study to evaluate its effectiveness as a tool to provide emotional interaction and emotion regulation to children with ASD.
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Acknowledgements
This research is partially supported by the National Institutes of Health (NIH) under grant # 5 R01 HD082914-04 through the National Robotics Initiative (NRI) program.
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Park, C.H., Javed, H., Jeon, M. (2019). Consensus-Based Human-Agent Interaction Model for Emotion Regulation in ASD. In: Stephanidis, C. (eds) HCI International 2019 - Posters. HCII 2019. Communications in Computer and Information Science, vol 1032. Springer, Cham. https://doi.org/10.1007/978-3-030-23522-2_38
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DOI: https://doi.org/10.1007/978-3-030-23522-2_38
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