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
Raising awareness of recycling and the seriousness of environmental pollution is the fundamental resort of influencing individuals to engage in a sustainable lifestyle.
By utilizing gamification of recycling with the use of an OptiTrack motion capture system, this study aims to conceptualize contributions to the main factors of improving awareness of recycling of individuals.
In this paper, we present a comparison model based on the survey results before and after the influence of group commitment of the individuals by means of extending and contemplating findings from the existing literature. The experiment result reveals that the influence of group commitment contributes to the willingness to recycle by 28.9%, and decrement of 10.7% in prioritizing self-convenience when it comes to recycling, thus providing a basis to explore the impact of group commitment and other factors on environmental awareness and behavior.
By utilizing gamification of recycling with the use of an OptiTrack motion capture system, this study aims to conceptualize contributions to the main factors of improving awareness of recycling of individuals.
In this paper, we present a comparison model based on the survey results before and after the influence of group commitment of the individuals by means of extending and contemplating findings from the existing literature. The experiment result reveals that the influence of group commitment contributes to the willingness to recycle by 28.9%, and decrement of 10.7% in prioritizing self-convenience when it comes to recycling, thus providing a basis to explore the impact of group commitment and other factors on environmental awareness and behavior.
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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