The Development of Semantic Augmented Reality Media for Recommending the Mental Health Care for Elderly
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Abstract
The research aims 1) to study the pattern of semantic knowledge base for recommending the metal health care for elderly 2) to develop the semantic augmented reality media (S-AR) for recommending the metal health care for elderly and 3) to assess the performance of SARM. Gathering the knowledge from books and in depth interviewing with 30 psychiatrists who have experience in metal health care for elderly and use the questionnaire with 70 elderly for creating the S-AR in web application on web application and access the performance and user satisfaction to the S-AR. This research found that semantic knowledge base divided 3 layers for linking to 2D AR which covered contents following the happiness 5 dimensions concept. The performance of S-AR was F-measure = 88.9% and user’s satisfaction to system in overview was high level ( x̄= 4.24, SD=0.599)
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References
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