Article

EyeWindows: evaluation of eye-controlled zooming windows for focus selection

Authors:

Roel VertegaalAuthors Info & Claims

CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 151 - 160

https://doi.org/10.1145/1054972.1054994

Published: 02 April 2005 Publication History

Abstract

In this paper, we present an attentive windowing technique that uses eye tracking, rather than manual pointing, for focus window selection. We evaluated the performance of 4 focus selection techniques: eye tracking with key activation, eye tracking with automatic activation, mouse and hotkeys in a typing task with many open windows. We also evaluated a zooming windowing technique designed specifically for eye-based control, comparing its performance to that of a stan-dard tiled windowing environment. Results indicated that eye tracking with automatic activation was, on average, about twice as fast as mouse and hotkeys. Eye tracking with key activation was about 72% faster than manual conditions, and preferred by most participants. We believe eye input performed well because it allows manual input to be provided in parallel to focus selection tasks. Results also suggested that zooming windows outperform static tiled windows by about 30%. Furthermore, this performance gain scaled with the number of windows used. We conclude that eye-controlled zooming windows with key activation pro-vides an efficient and effective alternative to current focus window selection techniques.

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Cited By

Hallgarten PSendhilnathan NZhang TSood EJonker T(2024)GEARS: Generalizable Multi-Purpose Embeddings for Gaze and Hand Data in VR InteractionsProceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3627043.3659551(279-289)Online publication date: 22-Jun-2024
https://dl.acm.org/doi/10.1145/3627043.3659551
Srinivasan AEllemose JButcher PRitsos PElmqvist N(2024)Attention-Aware Visualization: Tracking and Responding to User Perception Over TimeIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345630031:1(1017-1027)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456300
Eggenkemper FKölker LValente MRothkopf CMertens R(2023)Learning Individualized Automatic Content Magnification in Gaze-based Interaction2023 IEEE International Symposium on Multimedia (ISM)10.1109/ISM59092.2023.00054(282-286)Online publication date: 11-Dec-2023
https://doi.org/10.1109/ISM59092.2023.00054
Show More Cited By

Index Terms

EyeWindows: evaluation of eye-controlled zooming windows for focus selection
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
2. Software and its engineering
  1. Software notations and tools
    1. Context specific languages
      1. Window managers

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cover image ACM Conferences

CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2005

928 pages

ISBN:1581139985

DOI:10.1145/1054972

Conference Chairs:
Wendy Kellogg
IBM T. J. Watson Research Center
,
Shumin Zhai
IBM Almaden Research Center
,
General Chair:
Gerrit van der Veer
Vrije Universiteit, The Netherlands
,
Program Chair:
Carolyn Gale
Stanford University, USA

Copyright © 2005 ACM.

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: 02 April 2005

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April 2 - 7, 2005

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CHI '05 Paper Acceptance Rate 93 of 372 submissions, 25%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

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https://dl.acm.org/doi/10.1145/3627043.3659551
Srinivasan AEllemose JButcher PRitsos PElmqvist N(2024)Attention-Aware Visualization: Tracking and Responding to User Perception Over TimeIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345630031:1(1017-1027)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456300
Eggenkemper FKölker LValente MRothkopf CMertens R(2023)Learning Individualized Automatic Content Magnification in Gaze-based Interaction2023 IEEE International Symposium on Multimedia (ISM)10.1109/ISM59092.2023.00054(282-286)Online publication date: 11-Dec-2023
https://doi.org/10.1109/ISM59092.2023.00054
Plopski AHirzle TNorouzi NQian LBruder GLanglotz T(2022)The Eye in Extended Reality: A Survey on Gaze Interaction and Eye Tracking in Head-worn Extended RealityACM Computing Surveys10.1145/349120755:3(1-39)Online publication date: 25-Mar-2022
https://dl.acm.org/doi/10.1145/3491207
Li JRay SRajanna VHammond T(2022)Evaluating the Performance of Machine Learning Algorithms in Gaze Gesture Recognition SystemsIEEE Access10.1109/ACCESS.2021.313615310(1020-1035)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2021.3136153
Matulewski JBałaj BMościchowska IIgnaczewska ALinowiecki RDreszer JDuch W(2022)Learnability evaluation of the markup language for designing applications controlled by gazeInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102863165:COnline publication date: 1-Sep-2022
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Lucas NPandya A(2021)Multirobot Confidence and Behavior Modeling: An Evaluation of Semiautonomous Task Performance and EfficiencyRobotics10.3390/robotics1002007110:2(71)Online publication date: 17-May-2021
https://doi.org/10.3390/robotics10020071
Pluchino POrso VBonamigo GGamberini L(2021)Influence of keyboard layout and feedback type in eye-typing tasks: a comparative studyProceedings of the 32nd European Conference on Cognitive Ergonomics10.1145/3452853.3452887(1-7)Online publication date: 26-Apr-2021
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Goebel FKurzhals KSchinazi VKiefer PRaubal M(2020)Gaze-Adaptive Lenses for Feature-Rich Information SpacesACM Symposium on Eye Tracking Research and Applications10.1145/3379155.3391323(1-8)Online publication date: 2-Jun-2020
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Lischke LSchwind VSchweigert RWoźniak PHenze NPaternò FJacucci GRohs MSantoro C(2019)Understanding pointing for workspace tasks on large high-resolution displaysProceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia10.1145/3365610.3365636(1-9)Online publication date: 26-Nov-2019
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