Extreme motion based interaction for enhancing mobile game experience

Youngwon Kim, Jong Gil Ahn, Jeonghyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose to enact interaction by "extreme" motion involving multiple body parts and thereby maximize the whole body experience. By detecting the relative movements among multiple body parts, rather than an extended motion of just a single body part, the extreme motion can be contained within the personal space (not to disturb others around). Such a scheme was tested on a simple mobile game and compared to interfaces that were based on conventional touch interface and absolute motion detection. Experimental results showed that while incorporating extreme "relative" motion resulted in higher level of excitement and user experience by involving more body parts, the control performance significantly suffered (due to the head movements).

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages249-257
Number of pages9
Volume8005 LNCS
EditionPART 2
DOIs
Publication statusPublished - 2013 Jul 31
Event15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: 2013 Jul 212013 Jul 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8005 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th International Conference on Human-Computer Interaction, HCI International 2013
CountryUnited States
CityLas Vegas, NV
Period13/7/2113/7/26

Fingerprint

Extremes
Game
Motion
Interaction
Motion Detection
User Experience
Maximise
Experience
Experimental Results
Movement

Keywords

  • Extreme motion
  • Motion Detection
  • User Experience
  • Whole Body Interaction

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Kim, Y., Ahn, J. G., & Kim, J. (2013). Extreme motion based interaction for enhancing mobile game experience. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 8005 LNCS, pp. 249-257). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8005 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-39262-7_28

Extreme motion based interaction for enhancing mobile game experience. / Kim, Youngwon; Ahn, Jong Gil; Kim, Jeonghyun.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8005 LNCS PART 2. ed. 2013. p. 249-257 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8005 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, Y, Ahn, JG & Kim, J 2013, Extreme motion based interaction for enhancing mobile game experience. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 8005 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8005 LNCS, pp. 249-257, 15th International Conference on Human-Computer Interaction, HCI International 2013, Las Vegas, NV, United States, 13/7/21. https://doi.org/10.1007/978-3-642-39262-7_28
Kim Y, Ahn JG, Kim J. Extreme motion based interaction for enhancing mobile game experience. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 8005 LNCS. 2013. p. 249-257. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-39262-7_28
Kim, Youngwon ; Ahn, Jong Gil ; Kim, Jeonghyun. / Extreme motion based interaction for enhancing mobile game experience. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8005 LNCS PART 2. ed. 2013. pp. 249-257 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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