• Title/Summary/Keyword: 수량화I류 이론

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Evaluation of In-vehicle Warning Information Modalities by Kansei Engineering (감성공학을 이용한 차내 경고정보 제공방식 평가)

  • Park, Jun-Yeong;O, Cheol;Kim, Myeong-Ju;Jang, Myeong-Sun
    • Journal of Korean Society of Transportation
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    • v.28 no.3
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    • pp.39-49
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    • 2010
  • Provision of in-vehicle warning information is of keen interest since it can be effectively used to prevent traffic accident on the road. This study evaluates the effectiveness of information provision modalities based on kansei engineering. Various warning information scenarios using different modalities are devised for the evaluation. Statistical data analysis techniques including factor analysis, correlation analysis, and the general linear model are used to assess the user's affect for information modalities. The evaluation result shows that the provision of visual information consisted of 'text and pictogram' leads to higher understandability. The combination of beep sound and voice message' was identified as a more effective modality for auditory warning. In addition, the red color for the blinking warning signal was preferred by users.