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Ontology Construction for Interoperability and Scalability of Human-Object Interaction Datasets
Aryoung Kim, Sangbaek Lee, Kyuchul Lee
http://doi.org/10.5626/JOK.2021.48.8.947
Human behavior can be expressed through actions and objects. In order to understand the human behavior, the interaction with objects must be considered, as well as human behavior. The Human-Object Interaction (HOI) can be expressed in rich and varied ways. As detailed representations were required, large-scale datasets were generated. However, as they were written in different file formats and expression methods, decreasing interoperability between each other made it difficult to add, modify, or delete new objects or relationships. In this paper, we constructed a HOI ontology which can be utilized in the field of HOI research. We designed ontology to express the relationship between humans and objects. We then developed a method of instance generation and extension for interoperability support between HOI datasets. The design of the ontology allowed clear identification and expression of extracted information. Moreover, the extension method provided semantic interoperability so that new objects or relationships could be continuously extended to the HOI ontology.
Usability Assessment of FHIR-based Geriatric Depression Scale Questionnaire Using Chatbot
http://doi.org/10.5626/JOK.2020.47.7.650
As Korea enters the aging society, the interest in, and importance of the elderly are increasing. In particular, the depression of the elderly is an important issue to be addressed. To this end, latency delays are among the most common complaints about those who seek medical examination or to see a doctor. Also, if patients move and are thus are sent to a different hospital because of a change of residence or personal reasons, they may undergo the same examination. In this case, fatigue and economic burden are placed upon the patient because of the re-examination. In this study, we have implemented the chatbot for the Geriatric Depression Scale Questionnaire based on the Fast Healthcare Interoperability Resource, an international health information exchange standard. Unlike the existing paper questionnaire, it has interoperable questionnaire information, and the user’s perceived usability was examined through the evaluation of usability.
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