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.
초록·키워드
The advent of functional near-infrared spectroscopy (fNIRS) has revolutionized the field of design neurocognition. fNIRS, an optical technology crucial for functional brain imaging, measures fluctuations in oxy-hemoglobin and deoxyhemoglobin concentrations. This method is relevant for multiple aspects of design thinking, as well as the analysis and assessment of design results. This review paper introduces fNIRS and delves into its potential applications in spatial design, illustrating how it can quantify design neurocognition to refine design processes and decision-making. A comprehensive analysis of the existing literature revealed the challenges, benefits, and novel opportunities presented by fNIRS as a research tool in design studies. This paper adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for systematic reviews. It systematically reviews fNIRS-based design neurocognition research, categorizing studies through thematic analysis. The findings categorize into five key areas: design methods and processes, design strategy implementation, performance differences in design expertise, collaborative dynamics in design, and virtual design scenarios. The paper discusses limitations, and proposes future research directions while highlighting the advantages and potential of fNIRS in spatial design research and practice. This paper suggests implementing fNIRS in real and virtual design environments and combining it with synergistic methodologies, like EEG and psychophysiological measures. The paper anticipates a promising future for the integration of spatial design research and neuroscience, a synergy that is crucial for deepening our comprehension of complex human emotions and behaviors and their implications on design processes and outcomes. This integration is invaluable for gaining profound insights into human-centered spatial design.
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.
최근 본 자료 전체보기
UCI(KEPA) : I410-151-24-02-089263823
