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Correlation between gaze and hovers during decision-making interaction

Published: 14 June 2018 Publication History

Abstract

Taps only consist of a small part of the manual input when interacting with touch-enabled surfaces. Indeed, how the hand behaves in the hovering space is informative of what the user intends to do. In this article, we present a data collection related to hand and eye motion. We tailored a kiosk-like system to record participants' gaze and hand movements. We specifically designed a memory game to detect the decision-making process users may face. Our data collection comprises of 177 trials from 71 participants. Based on a hand movement classification, we extracted 16588 hovers. We study the gaze behaviour during hovers, and we found out that the distance between gaze and hand depends on the target's location on the screen. We also showed how indecision can be deducted from this distance.

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  • (2023)Webcam eye tracking close to laboratory standards: Comparing a new webcam-based system and the EyeLink 1000Behavior Research Methods10.3758/s13428-023-02237-856:5(5002-5022)Online publication date: 11-Oct-2023
  • (2023)Eyetracking Correlated in the Matching Pairs Game2023 IEEE Gaming, Entertainment, and Media Conference (GEM)10.1109/GEM59776.2023.10390418(1-6)Online publication date: 19-Nov-2023
  • (2022)Adaptive Visual Cues for Guiding a Bimanual Unordered Task in Virtual Reality2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR55827.2022.00059(431-440)Online publication date: Oct-2022
  • Show More Cited By

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    cover image ACM Conferences
    ETRA '18: Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications
    June 2018
    595 pages
    ISBN:9781450357067
    DOI:10.1145/3204493
    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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    Publication History

    Published: 14 June 2018

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    Author Tags

    1. gaze behaviour
    2. hand-eye coordination
    3. touch devices

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    View all
    • (2023)Webcam eye tracking close to laboratory standards: Comparing a new webcam-based system and the EyeLink 1000Behavior Research Methods10.3758/s13428-023-02237-856:5(5002-5022)Online publication date: 11-Oct-2023
    • (2023)Eyetracking Correlated in the Matching Pairs Game2023 IEEE Gaming, Entertainment, and Media Conference (GEM)10.1109/GEM59776.2023.10390418(1-6)Online publication date: 19-Nov-2023
    • (2022)Adaptive Visual Cues for Guiding a Bimanual Unordered Task in Virtual Reality2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR55827.2022.00059(431-440)Online publication date: Oct-2022
    • (2021)GazeHelp: Exploring Practical Gaze-assisted Interactions for Graphic Design ToolsACM Symposium on Eye Tracking Research and Applications10.1145/3450341.3458764(1-4)Online publication date: 25-May-2021
    • (2021)Gaze Comes in Handy: Predicting and Preventing Erroneous Hand Actions in AR-Supported Manual Tasks2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR52148.2021.00031(166-175)Online publication date: Oct-2021

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