| Summary: | 碩士 === 亞洲大學 === 創意商品設計學系 === 105 === With water timer serving as the carrier, the study explores methods of perceptual image analysis and elemental stuff identification and discusses the evaluation method that combines subjective differences in languages and objective eye tracking. Making a comprehensive view of theoretical research on styling features, kansei engineering, semantic differential and eye tracking, due to many uncertainties of cognitive behavior, limitations emerge when explaining people’s cognitive psychology for product styling features via both subjective and objective methods. In consequence, there are many directions and theories worthy of extension and development in this area. Therefore, this study performs two experiments, which are semantic difference test and eye movement test. Study process is divided into five stages semantic difference experiment, styling image induction, eye tracking test, shape feature extraction and product design prediction. Three topics are mainly discussed: (1) explain the perceptual evaluation figures through factor analysis and summarize overall style images of products; (2) analyze and explain the gazing time for interested area via two-factor variance and extract local styling features of products; (3) predict product design direction through the matching of styling features and overall style images. Main research results suggest: (1) through semantic differences research and factor analysis, eight-quadrant overall styling image space is obtained, with mood factor, visual factor and quality factor as factor axis; (2) test sample is significantly interactive with interest region (styling feature) in gazing time via eye tracking experimental research and variation number analysis; (3) by outlining styling features, extracting styling features located in positive factor axis, new design scheme is forecasted. Finally, the subjective and objective pluralistic evaluation method the study adopted is favorable to provide some references for the follow-up researchers on emotional design and render help for consumer electronic industry in product design method and innovation strategy level.
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