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Integrating Activity Theory for Context Analysis on Large Display

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Transactions on Edutainment V

Part of the book series: Lecture Notes in Computer Science ((TEDUTAIN,volume 6530))

Abstract

During recent years, interaction research on large display is a promising domain, and techniques and usability improvements constantly emerged. Different researchers focus on separate aspects but we need a comprehensive approach to analyze the context of use on large display. In this paper, we applied activity theory to understand the large display usage and showed design ideas of large display: centralized mapping and gesture tracing. We took the speaker-audience usage as an example and presented two prototypes based on activity-centered analysis. Our results were evaluated and the feedback showed that activity-based integration is a feasible solution to large display design.

Partially supported by national nature science foundation of China.

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Author information

Authors and Affiliations

  1. School of communication and design, Sun Yat-sen University, Guangzhou, China, 510275

    Fang You & HuiMin Luo

  2. Key lab of digital life, ministry of education, Sun Yat-sen University, Guangzhou, China, 510275

    Fang You & JianMin Wang

Authors
  1. Fang You
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  2. HuiMin Luo
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  3. JianMin Wang
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Editor information

Editors and Affiliations

  1. State Key Lab of CAD&CG, DEARC – Digital Entertainment and Animation Research Center, Zhejiang University, 310027, Hangzhou, China

    Zhigeng Pan

  2. National University of Singapore, Singapore

    Adrian David Cheok

  3. Media Education and Visualization Group, University of Education Weingarten, Leibnizstr. 3., 88250, Weingarten, Germany

    Wolfgang Müller

  4. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China

    Xubo Yang

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You, F., Luo, H., Wang, J. (2011). Integrating Activity Theory for Context Analysis on Large Display. In: Pan, Z., Cheok, A.D., Müller, W., Yang, X. (eds) Transactions on Edutainment V. Lecture Notes in Computer Science, vol 6530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18452-9_7

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  • DOI: https://doi.org/10.1007/978-3-642-18452-9_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18451-2

  • Online ISBN: 978-3-642-18452-9

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