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 proposes a systematic method of literature review using contents analysis. Contents analysis on literatures can provide researchers with more insight on the research field without subjective bias. By conducting an exemplary case study on the metadata of vision research, we could identify the characteristic of the structured and unstructured information as well as the general trend of vision studies. Background: As literatures on specific area start from a broad range, reviewers can give more or less weight on specific issues. Quantitative approach based on metadata of literatures can complement such biases. Method: Of the articles collected with three search keywords, ‘visual search’, ‘eye movement’ and ‘eye tracking’, we collected title, abstract, and keywords as the unstructured data set, while using the keyword data for the structured one. We then evaluated seven categories on the literature terms using the inductive categorization and identified chronological trend of the research area using frequency count. Results: While studies on ‘visual search’ cover wide range of cognitive area, ‘eye movement’ and ‘eye track’ showed close relation to physiological topics. Terms on the category, ‘stimuli’ and ‘condition’ were found to be important keywords regardless of the purpose of the research. Furthermore, chronological analysis showed number of experimental studies increased compared to the theoretical studies. Conclusion: By quantitatively analyzing literatures on ‘visual search’, ‘eye movement’, and ‘eye tracking’, we concluded that the structured data is more efficient to find out the purpose of the research. Moreover, studies on physical eye movement and cognitive process have been studied together increasingly.
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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