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Exploration of User Experience Research Method with Big Data Analysis : Focusing on the Online Review Analysis of Echo

빅데이터 분석을 활용한 사용자 경험 평가 방법론 탐색 : 아마존 에코에 대한 온라인 리뷰 분석을 중심으로

  • 황해정 (연세대학교 정보대학원) ;
  • 심혜린 (연세대학교 정보대학원) ;
  • 최준호 (연세대학교 정보대학원)
  • Received : 2016.06.13
  • Accepted : 2016.08.02
  • Published : 2016.08.28

Abstract

This study attempted to explore and examine a new user experience (UX) research method for IoT products which are becoming widely used but lack practical user research. While user experience research has been traditionally opted for survey or observation methods, this paper utilized big data analysis method for user online reviews on an intelligent agent IoT product, Amazon's Echo. The results of topic modelling analysis extracted user experience elements such as features, conversational interaction, and updates. In addition, regression analysis showed that the topic of updates was the most influential determinant of user satisfaction. The main implication of this study is the new introduction of big data analysis method into the user experience research for the intelligent agent IoT products.

Keywords

Big Data Analysis;Topic Modeling;Online Review Analysis;User Experience (UX);Intelligent Agent

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