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복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
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Citeasy
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커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
A study on relation between sound impression and satisfaction of vehicle exhaust sound
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A study on relation between sound impression and satisfaction of vehicle exhaust sound
초록·키워드
Objective: This study aims to identify how psychoacoustic characteristics of vehicle exhaust sound affect subjective impression and satisfaction. Furthermore, we studied relative importance of each physical element. Background: Nowadays, companies endeavor to construct appropriate product sound to gain competitive advantage, but few studies have focused on the relationship of psychoacoustic characteristics, impression and users’ satisfaction. For Korean car companies, since engine exhaust sound is crucial to users’ satisfaction, they need to understand physical characteristics of engine sound and how they affect users’ affective factors. Method: We analyzed impression of nine engine exhaust sounds and how they affect users’ satisfaction. Subjective impressions are composed of sixteen pairwise adjectives using semantic differential scale. They are categorized by factor analysis, and each three dimension significantly affected user’s satisfaction. Results: Impression evaluation is affected by loudness and sharpness, but not by fluctuation strength and roughness. Sixteen adjectives are categorized by three dimensions and psychoacoustic attributes showed different relative importance to each dimension. They eventually affected satisfaction significantly. Conclusion: Loudness and sharpness of engine exhaust sound affected subjective impression significantly, but they did not directly affect user’s satisfaction. However, since impression evaluation shows strong relationship with affective reaction, it shows sound metrics affect user’s emotion indirectly. Application: This study shows loudness and sharpness of engine exhaust sound affect users evaluating impressions. It implies car companies can design physical dimensions considering user’s affective evaluations.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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