2014
DOI: 10.14257/ijsip.2014.7.4.07
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Study on a Correlation Model between the Kansei Image and the Texture Harmony

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Cited by 5 publications
(5 citation statements)
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“…Elsewhere, Japanese researchers have studied textural harmony using a Kansei design approach ( Qiao et al, 2014 ). Kansei refers to an approach to affective design that emerged in Japan and is sometimes known as affective engineering ( Nagamachi, 1995 ; Schütte et al, 2004 ).…”
Section: Unisensory Harmony Perception Beyond Auditionmentioning
confidence: 99%
“…Elsewhere, Japanese researchers have studied textural harmony using a Kansei design approach ( Qiao et al, 2014 ). Kansei refers to an approach to affective design that emerged in Japan and is sometimes known as affective engineering ( Nagamachi, 1995 ; Schütte et al, 2004 ).…”
Section: Unisensory Harmony Perception Beyond Auditionmentioning
confidence: 99%
“…While the unisensory assessment of shitsukan undoubtedly constitutes an interesting line of laboratory research, out in the real world, our experience and evaluation of material properties is typically based on multisensory cues. Importantly, a large body of empirical research demonstrates that any productintrinsic (not to mention some product-extrinsic) sensory inputs are combined to deliver multisensory shitsukan perception (see also Qiao et al, 2014;Schütte et al, 2008). Understandably, many researchers have been interested in trying to understand the rules of multisensory integration and how they relate to the perception of shitsukan/material quality (e.g., Fujisaki et al, 2014;Lederman et al, 1986;cf.…”
Section: Multisensory Contributions To Shitsukan Perceptionmentioning
confidence: 99%
“…57 The possible word pool was collected from dictionaries, books, and English journal papers. 12,19,36,[66][67][68] The word items were then collected to develop the exploration of item scales. In this study, 90 words were collected (see Appendix 1), and four experts (3 females, 1 male) in fashion marketing were asked to rate the words.…”
Section: Item Generation and Refinementmentioning
confidence: 99%