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Inferring user action with mobile gaze tracking

Published:06 September 2016Publication History

ABSTRACT

Gaze tracking in psychological, cognitive, and user interaction studies has recently evolved toward mobile solutions, as they enable direct assessing of users' visual attention in natural environments, and augmented and virtual reality (AR/VR) applications. Productive approaches in analyzing and predicting user actions with gaze data require a multidisciplinary approach with experts in cognitive and behavioral sciences, machine vision, and machine learning. This workshop brings together a cross-domain group of individuals to (i) discuss and contribute to the problem of using mobile gaze tracking for inferring user action, (ii) advance the sharing of data and analysis algorithms as well as device solutions, and (iii) increase understanding of behavioral aspects of gaze-action sequences in natural environments and AR/VR applications.

References

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    • Published in

      cover image ACM Conferences
      MobileHCI '16: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct
      September 2016
      664 pages
      ISBN:9781450344135
      DOI:10.1145/2957265

      Copyright © 2016 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 September 2016

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      Overall Acceptance Rate202of906submissions,22%

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