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• W4206452160 abstract "Care robots have been developed to address the shortage of caregivers in hospitals and homes. However, providing care services considering abstract physiological desires (e.g., hunger, thirst, hot, and cold) rather than specific commands (e.g., serve a cup of water) has not been fully investigated. The key to such services that satisfy abstract requests, e.g., thirst, is to evaluate the available options (e.g., milk, tea, biscuit, and Coke) with the consideration of the care recipient’s preferences. In this study, we argue that both general taste (long-term care preferences) and sequential influence [short-term care preferences (STCPs)] should be considered for a robot to provide satisfying services. In this article, a long STCP model (LSTCPM) is introduced. The model can be initialized and updated incorporating the feedback from the care recipients. Then, a virtual agent-based simulation system is presented, which provides a way to evaluate and fine-tune the LSTCPM prior to its deployment to actual care robots. Finally, experiments were conducted in a real household domain using our care robot KUT-PCR to demonstrate the feasibility of the proposed approach." @default.
• W4206452160 created "2022-01-26" @default.
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• W4206452160 date "2022-09-01" @default.
• W4206452160 modified "2023-10-16" @default.
• W4206452160 title "Desire-Driven Reasoning Considering Personalized Care Preferences" @default.
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• W4206452160 doi "https://doi.org/10.1109/tsmc.2021.3131338" @default.
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