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Instantaneous saccade driven eye gaze interaction

Published: 29 October 2009 Publication History

Abstract

In this paper, we introduce and evaluate a new Instantaneous Saccade (IS) selection scheme for eye gaze driven interfaces where the speed of the target selection is of utmost importance. In the IS selection scheme, target selection occurs at the start (onset) of a saccade requiring only constant amount of time to be completed. The IS performance is compared to the conventional Dwell Time (DT) selection scheme where target selection is triggered when a user fixates on an object for a certain amount of time. The IS method is also compared to the Saccade Offset (SO) selection scheme where target selection occurs at the end of a saccade. All three schemes were evaluated in terms of task completion time and the throughput of input performance in horizontal target selection task by six subjects. Results show that the Instantaneous Saccade selection was 57% faster than the DT selection to complete a task. In terms of throughput comparison, the throughput of the IS selection is 1.9 times greater than the throughput of DT selection. We hypothesize that Instantaneous Saccade selection will be beneficial in gaming environments that require fast very interaction speeds.

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cover image ACM Other conferences
ACE '09: Proceedings of the International Conference on Advances in Computer Entertainment Technology
October 2009
456 pages
ISBN:9781605588643
DOI:10.1145/1690388
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 29 October 2009

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Author Tags

  1. Kalman filter
  2. eye tracker
  3. human computer interaction
  4. interaction technique evaluation
  5. saccade trajectory prediction

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  • (2024)Uncovering and Addressing Blink-Related Challenges in Using Eye Tracking for Interactive SystemsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642086(1-23)Online publication date: 11-May-2024
  • (2023)Highlighting the Challenges of Blinks in Eye Tracking for Interactive SystemsProceedings of the 2023 Symposium on Eye Tracking Research and Applications10.1145/3588015.3589202(1-7)Online publication date: 30-May-2023
  • (2021)Saccade Landing Point Prediction Based on Fine-Grained Learning MethodIEEE Access10.1109/ACCESS.2021.30705119(52474-52484)Online publication date: 2021
  • (2020)Eye-tracking for human-centered mixed reality: promises and challengesOptical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR)10.1117/12.2542699(27)Online publication date: 13-Mar-2020
  • (2019)An Explanation of Fitts' Law-like Performance in Gaze-Based Selection Tasks Using a Psychophysics ApproachProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300765(1-13)Online publication date: 2-May-2019
  • (2018)Saccade Landing Point PredictionProceedings of the 2018 International Conference on Machine Learning Technologies10.1145/3231884.3231890(1-5)Online publication date: 19-May-2018
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  • (2017)A Comparison of Smooth Pursuit- and Dwell-based Selection at Multiple Levels of Spatial AccuracyProceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems10.1145/3027063.3053233(2760-2766)Online publication date: 6-May-2017
  • (2016)Exploratory study with eye tracking devices to build interactive systems for air traffic controllersProceedings of the International Conference on Human-Computer Interaction in Aerospace10.1145/2950112.2964584(1-9)Online publication date: 14-Sep-2016
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