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Examination of a Voice Interaction Model for Smart TV through Conversation Patterns

대화 패턴 연구를 통한 스마트TV 음성 상호작용 모델의 탐구

  • Received : 2016.10.12
  • Accepted : 2016.12.22
  • Published : 2017.02.28

Abstract

As new smart devices are evolved into the intelligent agent who can reflect user intention and use context, user experience design for easy and convenient usability becomes a core competitive edge. Under the assumption that human centered natural interaction is necessary for the optimal smart TV experience, this study explores the types of voice interaction which are peculiar to TV watching context. In order to build a model for the users to naturally interact with Smart TV, conversation patterns were collected by requesting key features of Smart TV to intelligent agent. Collected sentences were applied to CfA model and classified by responses to activate features. The classified conversation patterns were divided into feature activation and information search. This study has identified that CfC1 occurred when voice interaction between Smart TV and users was vague and CfC2 occurred when the requests were complex or conditional. In conclusion, Simple Request Type is the most efficient model and voice interaction is more appropriate to use to clarify users' vague requests.

Keywords

Smart TV;Language Action;Conversation Pattern;Conversation for Action Model;Voice Recognition

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