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음악추천시스템의 수용성에 개인감정과 상황이 미치는 영향

Impact of Sentimental and Contextual Factors on the Acceptance of Music Recommender Systems

  • 박경수 (호서대학교 벤처전문대학원 IT응용기술학과) ;
  • 문남미 (호서대학교 벤처전문대학원 IT응용기술학과)
  • 투고 : 2011.03.24
  • 심사 : 2011.04.27
  • 발행 : 2011.05.28

초록

추천시스템은 정보기술의 발달에 따른 정보의 홍수 속에서 사용자의 요구 사항과 선호를 바탕으로 사용자와 공급자 양측의 이익을 위해 사용자가 합당한 제품을 선택하기 위한 개인화된 의사결정 지원수단이라고 할 수 있다. 지금까지의 추천시스템에 관한 연구가 주로 공급자의 입장에서 추천시스템의 개선에 관한 연구들이거나 추천시스템 평가에 관한 연구가 대부분이어서 본 논문에서는 수요자의 입장에서 개인감정과 상황이 음악추천시스템의 수용성에 미치는 영향을 분석하기 위해 수정된 TAM을 기반으로 하여 관련 선행연구를 통해 검증된 변수를 기반으로 도출된 잠재변수와 측정치를 바탕으로 연구모형을 설정하고 이를 측정하기 위해 설문조사를 실시하여 다층구조 (High-Order Construct) 구조방정식모형을 통해 이를 분석하였다. 연구결과 개인감정 중에서 내적흥미와 즐거움은 유의한 영향을 미치는 것으로 나타났지만 자기효능감은 유의한 영향을 미치지 못하는 것으로 나타났고 개인상황에 있어서는 사회적영향과 시간적합성은 유의한영향을 미치는 것으로 나타났지만 장소적합성은 유의한 영향을 미치지 못하는 것으로 나타났다.

키워드

추천시스템;사용자수용;기술수용모형;개인감정;개인상황

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