TY - JOUR
T1 - Modeling Semantically Multilayered Affective and Psychophysical Responses Toward Tactile Textures
AU - Nagano, Hikaru
AU - Okamoto, Shogo
AU - Yamada, Yoji
N1 - Funding Information:
This work was in part supported by MEXT JSPS Kakenhi (15H05923).
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Subjective responses related to touch are described via perceptual and affective adjectives. Understanding relationships among such responses is useful for industrial surface design. We developed a method for investigating relationships among touch-related responses by constructing multilayered adjective models without assumptions regarding model structure such as adjective hierarchy or a definition of layers. The method consists of two processes through which a model structure and parameters are estimated. To acquire the model structure, subjectively evaluated causal relationships among adjective pairs are used. Free parameters, such as effects among adjectives, are then statistically estimated through sensory evaluation and structural equation modeling. To validate the method, two models with different levels of details were developed using 29 adjective pairs and 46 texture samples. For example, the model with three layers, which we categorized into psychophysical, affective, and hedonic layers, was constructed. Moreover, a detailed model with four layers was provided, which was more complex than previously reported models. The present method helps advance our understanding and design of connections among subjective surface ratings.
AB - Subjective responses related to touch are described via perceptual and affective adjectives. Understanding relationships among such responses is useful for industrial surface design. We developed a method for investigating relationships among touch-related responses by constructing multilayered adjective models without assumptions regarding model structure such as adjective hierarchy or a definition of layers. The method consists of two processes through which a model structure and parameters are estimated. To acquire the model structure, subjectively evaluated causal relationships among adjective pairs are used. Free parameters, such as effects among adjectives, are then statistically estimated through sensory evaluation and structural equation modeling. To validate the method, two models with different levels of details were developed using 29 adjective pairs and 46 texture samples. For example, the model with three layers, which we categorized into psychophysical, affective, and hedonic layers, was constructed. Moreover, a detailed model with four layers was provided, which was more complex than previously reported models. The present method helps advance our understanding and design of connections among subjective surface ratings.
KW - Texture
KW - effect matrix
KW - multilayer
KW - structural equation modeling
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U2 - 10.1109/TOH.2018.2840703
DO - 10.1109/TOH.2018.2840703
M3 - Article
C2 - 29993723
AN - SCOPUS:85047613628
VL - 11
SP - 568
EP - 578
JO - IEEE Transactions on Haptics
JF - IEEE Transactions on Haptics
SN - 1939-1412
IS - 4
M1 - 8365751
ER -