Abstract
With the increasing digitalization of society, we need to use a wide range of digitalized services in our daily activities such as searching for events in a calendar, checking the weather forecast, receiving guidance for completing certain tasks or recommendations for certain topics. Assistance for digital services is often needed, and particularly in the ageing stages, support for these tasks from a coach can become valuable. We introduce our work on a dialogue system that is part of a digital coach providing interactive support for elder adults in their daily activities. The work centers on using knowledge graphs to improve coaching interventions and is part of a larger project that focuses on supporting elder people and their healthy active living. Knowledge graphs are models of the domain content, defined by the domain experts, and they are used in the dialogue system to understand the content of the user utterances and to generate appropriate system responses. The dialogue coach can thus personalize conversations with the elder users and provide empathic and informative responses.
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Acknowledgments
We thank our project partners in Japan and EU for discussions. This work was supported by the Strategic Information and Communications R&D Promotion Programme (SCOPE) of Ministry of Internal Affairs and Communications (MIC), Grant no. JPJ000595.
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Vizcarra, J., Jokinen, K. (2022). Knowledge-Based Dialogue System for the Ageing Support on Daily Activities. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. Technology in Everyday Living. HCII 2022. Lecture Notes in Computer Science, vol 13331. Springer, Cham. https://doi.org/10.1007/978-3-031-05654-3_8
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DOI: https://doi.org/10.1007/978-3-031-05654-3_8
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