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Analysis of Integrated Trends of EEG Experimental Research on Architecture·Space Design - Focusing on published journal articles -

건축·공간디자인 분야 EEG 실험연구의 통합적 경향 분석 - 학술지 게재논문을 중심으로 -

  • 김상희 (경북대학교 공과대학 건축학과) ;
  • 추승연 (경북대학교 공과대학 건축학과)
  • Received : 2020.08.10
  • Accepted : 2020.10.06
  • Published : 2020.10.30

Abstract

This study aims to provide implications, which can help in seeking research topics and establishing research methodologies in future, by analyzing integrated trends of previous studies that have produced results through EEG experiments in the area of architecture·space design. For this study, a systematic review was performed, and based on specific analysis items selected in accordance with PICOS(Participant, Intervention, Comparator, Outcome, Settings), frequency analysis and comparative analysis between items were conducted targeting 49 papers published in an academic journal. The following implications were obtained from the analysis results. First, there is a need to secure homogeneity of experiment participants and reliability of EEG data. Second, it is required to expand research topics that can guarantee practical implication and effectiveness. Third, for enhancing reliability and validity of EEG study results, it is needed to establish standard criteria of EEG research methodologies, including EEG measurement indicators and EEG analysis methods, which suit the purpose of measuring EEG response. Fourth, for obtaining valid research results, a complementary study should be conducted by making the best use of other physiological response measurement experiments and quantitative studies on physiological and psychological conditions, which cannot be understood only from EEG response. Lastly, in relation to experiment environment and design, there is a need to establish an EEG experiment protocol that is appropriate for architecture·space design, since individual researches have different experiment times and procedures, and there is an absence of standardized protocols.

Keywords

Acknowledgement

이 연구는 국토교통부 도시건축 연구개발사업의 연구비 지원에 의한 결과임. 과제번호:20AUDP-B127891-04

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