老年人和认知障碍者人工伴侣的社会合作行为

Ramin Yaghoubzadeh, Hendrik Buschmeier, S. Kopp
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引用次数: 9

摘要

我们提出了一个以社会合作方式表现的语音对话具体化伴侣系统,即关注用户发出的交流和社会线索,推断内部认知、情感和互动状态,并以适当的适应行为进行回报。有人认为,这种能力对于促进合作、轻松和愉快的互动至关重要,从而最大限度地提高老年人或认知障碍用户的疗效和长期接受度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socially Cooperative Behavior for Artificial Companions for Elderly and Cognitively Impaired People
We present work towards a spoken-dialogue embodied companion system that behaves in a socially cooperative fashion, i.e., being attentive to communicative and social cues emitted by the user, inferring internal cognitive, affective and interactional states, and reciprocating with appropriately adapted behavior. It is argued that this capability is vital for fostering cooperative, effortless, and enjoyable interactions that maximize both efficacy and long-term acceptance with elderly or cognitively impaired users.
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