Augmented reality go: Extending traditional game play with interactive self-learning support

Takahiro Iwata, Tetsuo Yamabe, Tatsuo Nakajima

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

16 Citations (Scopus)

Abstract

The augmented reality (AR)-based learning support has several advantages over virtual reality or PC applications. AR enables to maintain the physical interaction that an activity originally offers, thus the skills and knowledge acquired in an augmented learning process can be intuitively applied to practice use. Whereas lots of AR-based self-learning support systems have been developed in previous studies, it has not been sufficiently evaluated how it influences a learner's mindset and the efficiency of training. In this paper, we investigate the user experience brought by AR technologies in a self-learning process. We chose the game of Go as a study program, and developed the Augmented Reality Go (ARGo) system to compare the AR and conventional PC-based learning assistance. We found that the physical interaction with the original game apparatus enhanced the subjects' intrinsic motivation towards self-learning. Moreover, the original look-and-feel induced deeper concentration and higher elaboration on problem solving. Design issues are also discussed to generalize the concept of AR self-learning support towards broader application domains.

Original languageEnglish
Title of host publicationProceedings - 17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2011
Pages105-114
Number of pages10
DOIs
Publication statusPublished - 2011 Dec 1
Event17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2011 - Toyama, Japan
Duration: 2011 Aug 282011 Aug 31

Publication series

NameProceedings - 17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2011
Volume1

Conference

Conference17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2011
CountryJapan
CityToyama
Period11/8/2811/8/31

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Science Applications

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    Iwata, T., Yamabe, T., & Nakajima, T. (2011). Augmented reality go: Extending traditional game play with interactive self-learning support. In Proceedings - 17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2011 (pp. 105-114). [6029834] (Proceedings - 17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2011; Vol. 1). https://doi.org/10.1109/RTCSA.2011.43