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Pursuits: spontaneous interaction with displays based on smooth pursuit eye movement and moving targets

Vidal, Mélodie, Bulling, Andreas, Gellersen, Hans·2013·Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing

Abstract

Although gaze is an attractive modality for pervasive interactions, the real-world implementation of eye-based interfaces poses significant challenges, such as calibration. We present Pursuits, an innovative interaction technique that enables truly spontaneous interaction with eye-based interfaces. A user can simply walk up to the screen and readily interact with moving targets. Instead of being based on gaze location, Pursuits correlates eye pursuit movements with objects dynamically moving on the interface. We evaluate the influence of target speed, number and trajectory and develop guidelines for designing Pursuits-based interfaces. We then describe six realistic usage scenarios and implement three of them to evaluate the method in a usability study and a field study. Our results show that Pursuits is a versatile and robust technique and that users can interact with Pursuits-based interfaces without prior knowledge or preparation phase.

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Metadata

Authors
Vidal, M., Bulling, A., & Gellersen, H.
Venue
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Publisher
ACM
Published
2013-09-08
Pages
439-448
OpenAlex
W1995055145
Cited by
276
References
26
FWCI
12.65
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Pursuits: spontaneous interaction with displays based on smooth pursuit eye movement and moving targets. https://app.cochat.ai/papers/10.1145/2493432.2493477
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Vidal, M., Bulling, A., & Gellersen, H. (2013). Pursuits: spontaneous interaction with displays based on smooth pursuit eye movement and moving targets. Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing. https://doi.org/10.1145/2493432.2493477

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.