Haptic user experience based on user preference

Hoon Sik Yoo, So Yon Jeong, Da Young Ju

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

As the mobile device and touch screen market grows continuously, the development of Haptic Technology is expected to give a boost to the touch screen market. The inertia based tactile reproduction technology applied to current device is contributing to the expansion of market. The purpose of this study is to analyze what kind of service and material is preferred for the tactile reproduction technology to be applied to mobile device. To carry out the research, 100 surveys were performed and priority based on the surveyed contents was analyzed as well as additional analysis for gender and age to subdivide the demand of the users. The user preference on which haptic technology should be applied first is on movie, reflecting the desire to sensual experience various contents provided by the movies. Users also preferred soft materials such as silk. They also preferred materials which are encountered in daily life such as hanji, plastic, or cotton. For the development of the study, further research on what situation and through what method should be applied for application of higher service is necessary.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages645-655
Number of pages11
DOIs
Publication statusPublished - 2017 Jan 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10271
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fingerprint

Haptics
User Preferences
User Experience
Touch screens
Mobile devices
Mobile Devices
Subdivide
Silk
Inertia
Cotton
Plastics
Necessary
Market

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Yoo, H. S., Jeong, S. Y., & Ju, D. Y. (2017). Haptic user experience based on user preference. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 645-655). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10271). Springer Verlag. https://doi.org/10.1007/978-3-319-58071-5_49
Yoo, Hoon Sik ; Jeong, So Yon ; Ju, Da Young. / Haptic user experience based on user preference. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, 2017. pp. 645-655 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Yoo, HS, Jeong, SY & Ju, DY 2017, Haptic user experience based on user preference. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10271, Springer Verlag, pp. 645-655. https://doi.org/10.1007/978-3-319-58071-5_49

Haptic user experience based on user preference. / Yoo, Hoon Sik; Jeong, So Yon; Ju, Da Young.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, 2017. p. 645-655 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10271).

Research output: Chapter in Book/Report/Conference proceedingChapter

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Yoo HS, Jeong SY, Ju DY. Haptic user experience based on user preference. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017. p. 645-655. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-58071-5_49