DialPlates: Enabling Pursuits-based User Interfaces with Large Target Numbers

Drewes, H., Khamis, M. and Alt, F. (2019) DialPlates: Enabling Pursuits-based User Interfaces with Large Target Numbers. In: Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia, Pisa, Italy, 26-29 Nov 2019, p. 10. ISBN 9781450376242 (doi:10.1145/3365610.3365626)

199877.pdf - Accepted Version



In this paper we introduce a novel approach for smooth pursuits eye movement detection and demonstrate that it allows up to 160 targets to be distinguished. With this work we advance the well-established smooth pursuits technique, which allows gaze interaction without calibration. The approach is valuable for researchers and practitioners, since it enables novel user interfaces and applications to be created that employ a large number of targets, for example, a pursuits-based keyboard or a smart home where many different objects can be controlled using gaze. We present findings from two studies. In particular, we compare our novel detection algorithm based on linear regression with the correlation method. We quantify its accuracy for around 20 targets on a single circle and up to 160 targets on multiple circles. Finally, we implemented a pursuits-based keyboard app with 108 targets as proof-of-concept.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Khamis, Dr Mohamed
Authors: Drewes, H., Khamis, M., and Alt, F.
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2019 The Authors
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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