Kansei Evaluation Based on Quantifying the Identity of Smartphone Shape

© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. Today, shapes of many smartphones are becoming similar to each other due to the fact that the shape has become minimal. The purpose of this research is to clarify the relationship betw...

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Main Authors: Koki Chiba, Namgyu Kang, Jiuqiang Fu, Dongjin Seo, Khongthat Thongphun, Liu Jiehong, Mohd Khairul Hussin
Format: Book Series
Published: 2020
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/70461
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Institution: Chiang Mai University
id th-cmuir.6653943832-70461
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spelling th-cmuir.6653943832-704612020-10-14T08:35:07Z Kansei Evaluation Based on Quantifying the Identity of Smartphone Shape Koki Chiba Namgyu Kang Jiuqiang Fu Dongjin Seo Khongthat Thongphun Liu Jiehong Mohd Khairul Hussin Computer Science Engineering © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. Today, shapes of many smartphones are becoming similar to each other due to the fact that the shape has become minimal. The purpose of this research is to clarify the relationship between the identity of smartphones and their shapes. This research was conducted with the keywords of the nationality including GDP, share rate, and experience of using the smartphone. In an experiment, 185 participants of 5 different nationalities (Japan, Korea, China, Thailand, and Singapore) set the order of the 9 life-sized mock-up models (iPhone X and 8 Android smartphones) based on their similarity to the front shape of the iPhone X. As a result, the participants could distinguish the identity of the iPhone X to a certain degree from the information of only the shape. Moreover, the correct answer rate differs depending on the 3 conditions and experience of using the smartphone. 2020-10-14T08:31:19Z 2020-10-14T08:31:19Z 2020-01-01 Book Series 21945365 21945357 2-s2.0-85088509387 10.1007/978-3-030-51194-4_89 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85088509387&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70461
institution Chiang Mai University
building Chiang Mai University Library
continent Asia
country Thailand
Thailand
content_provider Chiang Mai University Library
collection CMU Intellectual Repository
topic Computer Science
Engineering
spellingShingle Computer Science
Engineering
Koki Chiba
Namgyu Kang
Jiuqiang Fu
Dongjin Seo
Khongthat Thongphun
Liu Jiehong
Mohd Khairul Hussin
Kansei Evaluation Based on Quantifying the Identity of Smartphone Shape
description © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. Today, shapes of many smartphones are becoming similar to each other due to the fact that the shape has become minimal. The purpose of this research is to clarify the relationship between the identity of smartphones and their shapes. This research was conducted with the keywords of the nationality including GDP, share rate, and experience of using the smartphone. In an experiment, 185 participants of 5 different nationalities (Japan, Korea, China, Thailand, and Singapore) set the order of the 9 life-sized mock-up models (iPhone X and 8 Android smartphones) based on their similarity to the front shape of the iPhone X. As a result, the participants could distinguish the identity of the iPhone X to a certain degree from the information of only the shape. Moreover, the correct answer rate differs depending on the 3 conditions and experience of using the smartphone.
format Book Series
author Koki Chiba
Namgyu Kang
Jiuqiang Fu
Dongjin Seo
Khongthat Thongphun
Liu Jiehong
Mohd Khairul Hussin
author_facet Koki Chiba
Namgyu Kang
Jiuqiang Fu
Dongjin Seo
Khongthat Thongphun
Liu Jiehong
Mohd Khairul Hussin
author_sort Koki Chiba
title Kansei Evaluation Based on Quantifying the Identity of Smartphone Shape
title_short Kansei Evaluation Based on Quantifying the Identity of Smartphone Shape
title_full Kansei Evaluation Based on Quantifying the Identity of Smartphone Shape
title_fullStr Kansei Evaluation Based on Quantifying the Identity of Smartphone Shape
title_full_unstemmed Kansei Evaluation Based on Quantifying the Identity of Smartphone Shape
title_sort kansei evaluation based on quantifying the identity of smartphone shape
publishDate 2020
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85088509387&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/70461
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