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e-journal

Making Tactile Textures with Predefined Affective Properties

Galal Elkharraz [et.al.] - Nama Orang;

A process for the design and manufacture of 3D tactile textures with predefined affective properties was developed. Twenty four tactile textures were manufactured. Texture measures from the domain of machine vision were used to characterize the digital representations of the tactile textures. To obtain affective ratings, the textures were touched, unseen, by 107 participants who scored them against natural, warm, elegant, rough, simple, and like, on a semantic differential scale. The texture measures were correlated
with the participants’ affective ratings using a novel feature subset evaluation method and a partial least squares genetic algorithm. Six measures were identified that are significantly correlated with human responses and are unlikely to have occurred by chance. Regression equations were used to select 48 new tactile textures that had been synthesized using mixing algorithms and which were likely to score highly against the six adjectives when touched by participants. The new textures were manufactured and rated by participants. It was found that the regression equations gave excellent predictive ability. The principal contribution of the work is the demonstration of a process, using machine vision methods and rapid prototyping, which can be used to make new tactile textures with predefined affective properties.
Index Terms—Feature evaluation and selection, human factors, rapid prototyping, texture


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Informasi Detail
Judul Seri
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
No. Panggil
-
Penerbit
New York : IEEE., 2014
Deskripsi Fisik
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. 5, NO. 1, JANUARY-MARCH 2014
Bahasa
English
ISBN/ISSN
1949-3045
Klasifikasi
-
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
VOL. 5, NO. 1, JANUARY-MARCH 2014
Subjek
TEKNIK
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Yuli/Agus
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  • FULL TEXT. Making Tactile Textures with Predefined Affective Properties
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