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Using Real-Time Gaze Based Awareness Methods to Enhance Collaboration

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Collaboration and Technology (CRIWG 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9334))

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Abstract

Using eye-tracking in applications can be used to identify which areas are looked at by their users. In collaborative software this information can be transmitted to partners in real-time to provide an additional information channel. This paper compares different types of real-time gaze data visualizations. For this purpose, a study with three groups is conducted, who have to solve a collaborative puzzle. In every group the gaze data from each participant is recorded and visualized in a different way depending on the specific group condition. The aim is to evaluate a new context-based visualization to be able to make use of the known advantages of coordinate-based gaze data visualization outside of the domain of What-You-See-Is-What-I-See (WYSIWIS) interfaces.

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Author information

Authors and Affiliations

  1. University of Applied Sciences and Arts Dortmund, Dortmund, Germany

    Christian Schlösser, Philipp Schlieker-Steens & Andrea Kienle

  2. Clausthal University of Technology, Clausthal-Zellerfeld, Germany

    Andreas Harrer

Authors
  1. Christian Schlösser
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  2. Philipp Schlieker-Steens
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  3. Andrea Kienle
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  4. Andreas Harrer
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Corresponding author

Correspondence to Christian Schlösser .

Editor information

Editors and Affiliations

  1. Universidad de Chile, Santiago, Chile

    Nelson Baloian

  2. SYNOPSIS, Santa Clara, USA

    Yervant Zorian

  3. American University of Armenia, Yerevan, Armenia

    Perouz Taslakian

  4. Yerevan State University, Yerevan, Armenia

    Samvel Shoukouryan

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© 2015 Springer International Publishing Switzerland

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Schlösser, C., Schlieker-Steens, P., Kienle, A., Harrer, A. (2015). Using Real-Time Gaze Based Awareness Methods to Enhance Collaboration. In: Baloian, N., Zorian, Y., Taslakian, P., Shoukouryan, S. (eds) Collaboration and Technology. CRIWG 2015. Lecture Notes in Computer Science(), vol 9334. Springer, Cham. https://doi.org/10.1007/978-3-319-22747-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-22747-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22746-7

  • Online ISBN: 978-3-319-22747-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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