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.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.5
- 수록면
- 110 - 113 (4page)
이용수
초록· 키워드
오류제보하기
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.
목차
ABSTRACT
1. Introduction
2. Method
3. Results
4. Conclusion
5. Discussion
References
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