인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Objective: This study aims to observe user’s experience longitudinally in a natural context of use by using DRM (Day Reconstruction Method). Background: DRM is an observation technique that periodically surveys user’s experience and evaluates it systemically. Observing user’s behavior is critical in identifying users’ implicit needs. Previous studies on observation techniques have mainly been conducted in forced and artificial environments. So far, it was difficult to observe user’s behavior in natural context. Method: In this study, in addition to emotions collected by existing DRM, we also investigated contextual information using structured questionnaires. Each questionnaire was conducted for one episode which is composed of specific actions that are taken, context of each episode, and detailed description of mood and emotion at that time of episode occurrence with detailed reason. Results: For a case study, DRM for TV-viewing was conducted. As a result, users showed different TV-viewing behaviors depending on the day of the week. DRM also showed that users typically did not use the majority of the technical functions provided by the modern TV sets popularly used today. Moreover, we figured out that many secondary tasks were conducted concurrently together with TV-viewing. Conclusion: The study suggested that a diary-based observation technique proposed in this paper can be used to analyze the context efficiently and quantitatively without bias. Application: It is expected that the proposed method could be helpful for understanding user’s implicit needs on the products.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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