Hidden Pursuits: Evaluating Gaze-selection via Pursuits when the Stimuli's Trajectory is Partially Hidden

Mattusch, T., Mirzamohammad, M., Khamis, M. , Bulling, A. and Alt, F. (2018) Hidden Pursuits: Evaluating Gaze-selection via Pursuits when the Stimuli's Trajectory is Partially Hidden. In: 2018 ACM Symposium on Eye Tracking Research and Applications (ETRA '18), Warsaw, Poland, 14-17 Jun 2018, p. 27. ISBN 9781450357067 (doi:10.1145/3204493.3204569)

170201.pdf - Accepted Version



The idea behind gaze interaction using Pursuits is to leverage the human's smooth pursuit eye movements performed when following moving targets. However, humans can also anticipate where a moving target would reappear if it temporarily hides from their view. In this work, we investigate how well users can select targets using Pursuits in cases where the target's trajectory is partially invisible (HiddenPursuits): e.g., can users select a moving target that temporarily hides behind another object? Although HiddenPursuits was not studied in the context of interaction before, understanding how well users can perform HiddenPursuits presents numerous opportunities, particularly for small interfaces where a target's trajectory can cover area outside of the screen. We found that users can still select targets quickly via Pursuits even if their trajectory is up to 50% hidden, and at the expense of longer selection times when the hidden portion is larger. We discuss how gaze-based interfaces can leverage HiddenPursuits for an improved user experience.

Item Type:Conference Proceedings
Additional Information:This work was funded, in part, by the Cluster of Excellence on Multimodal Computing and Interaction (MMCI) at Saarland University, Germany, and by the Bavarian State Ministry of Education, Science and the Arts in the framework of the Center Digitization.Bavaria (ZD.B). This research was supported by the German Research Foundation (DFG), Grant No. AL 1899/2-1.
Keywords:Displays, hidden trajectory, motion correlation, smooth pursuit.
Glasgow Author(s) Enlighten ID:Khamis, Dr Mohamed
Authors: Mattusch, T., Mirzamohammad, M., Khamis, M., Bulling, A., and Alt, F.
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications: 27
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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