著者

來村 徳信 中條 亘 笹嶋 宗彦 師岡 友紀 辰巳 有紀子 荒尾 晴惠 溝口 理一郎

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.36, no.4, pp.D-K94_1-16, 2021-07-01 (Released:2021-07-01)

参考文献数

32

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For appropriate execution of human actions as a service, it is important to understand goals of the actions, which are usually implicit in the sequence-oriented process representations. CHARM (an abbreviation for Convincing Human Action Rationalized Model) has been proposed for representing such goals of the actions in a goal-oriented structure. It has been successfully applied for training novice nurses in a real hospital. Such a real-scale and general knowledge model, however, makes the learners difficult to understand which actions are important in a specific context such as a patient’s risk for complications. The goal of this research is to realize a context-adaptive knowledge structuring mechanism for emphasizing such actions that need special attention in a given context. As an extension of the CHARM framework, the authors have developed a general mechanism based on multi-goal action models and pathological mechanism models of abnormal phenomena. It has been implemented as a software system on tablet devices called CHARM Pad. We have also described knowledge models for the nursing domain, which include pathological mechanism models of complications with their risk factors. CHARM Pad with these models had been used by nursing students and evaluated by them through questionnaires. The result shows that CHARM Pad helped them understand the goals of nursing actions as well as finding of symptoms of complications context-adaptively.