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Towards Better Human Robot Interaction: Understand Human Computer Interaction in Social Gaming Using a Video-Enhanced Diary Method

  • Conference paper
Progress in Robotics (FIRA 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 44))

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Abstract

This paper presents findings from a descriptive research on social gaming. A video-enhanced diary method was used to understand the user experience in social gaming. From this experiment, we found that natural human behavior and gamer’s decision making process can be elicited and speculated during human computer interaction. These are new information that we should consider as they can help us build better human computer interfaces and human robotic interfaces in future.

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Author information

Authors and Affiliations

  1. Institute for Infocomm Research (I2R), A*STAR, 1 Fusionopolis Way, Singapore, 138632

    Swee Lan See

  2. Catholic High School, 9 Bishan Street 22, Singapore, 579767

    Mitchell Tan & Qin En Looi

Authors
  1. Swee Lan See
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  2. Mitchell Tan
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  3. Qin En Looi
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Editor information

Editors and Affiliations

  1. Dept. of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea

    Jong-Hwan Kim

  2. National University of Singapore, 117576, Singapore

    Shuzhi Sam Ge

  3. National University of Singapore, Singapore

    Prahlad Vadakkepat , Abdullah Al Manum  & Ryohei Nakatsu ,  & 

  4. Technische Universität Dortmund, Dortmund, Germany

    Norbert Jesse

  5. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, P.O. Box, 117576, Singapore

    Sadasivan Puthusserypady K

  6. Heinz Nixdorf Institute, System and Circuit Technology, University of Paderborn, Fuerstenallee 11, 33102, Paderborn, Germany

    Ulrich Rückert

  7. School of Software Engineering and Data Communications, Queensland University of Technology, P.O. Box, Brisbane, Australia

    Joaquin Sitte

  8. Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany

    Ulf Witkowski

  9. The University of Western Australia, Perth, Australia

    Thomas Braunl

  10. Department of Computer Science, University of Manitoba, P.O. Box, R3T 2N2, Winnipeg, Manitoba, Canada

    Jacky Baltes  & John Anderson  & 

  11. Tamkang University, Taipei, Taiwan

    Ching-Chang Wong

  12. Technion - Israel Institute of Technology, Dept. of Education in Technology & Science, 32000, Haifa, Israel

    Igor Verner

  13. Trinity College, Hartford, CT, USA

    David Ahlgren

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© 2009 Springer-Verlag Berlin Heidelberg

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See, S.L., Tan, M., Looi, Q.E. (2009). Towards Better Human Robot Interaction: Understand Human Computer Interaction in Social Gaming Using a Video-Enhanced Diary Method. In: Kim, JH., et al. Progress in Robotics. FIRA 2009. Communications in Computer and Information Science, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03986-7_14

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  • DOI: https://doi.org/10.1007/978-3-642-03986-7_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03985-0

  • Online ISBN: 978-3-642-03986-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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