short-paper

Gaze-based moving target acquisition in real-time full motion video

Authors:

Jutta Hild,

Christian Kühnle,

Jürgen BeyererAuthors Info & Claims

ETRA '16: Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications

Pages 241 - 244

https://doi.org/10.1145/2857491.2857525

Published: 14 March 2016 Publication History

Get Access

Abstract

Real-time moving target acquisition in full motion video is a challenging task. Mouse input might fail if targets move fast, unpredictably, or are only visible for a short period of time. In this paper, we describe an experiment with expert video analysts (N=26) which perform moving target acquisition by selecting targets in a full motion video sequence presented on a desktop computer. The results show that using gaze input (gaze pointing + manual key press), the participants were able to perform with significantly shorter completion times than with mouse input. Error rates (represented by target misses) and acquisition precision were similar. Subjective ratings of user satisfaction resulted in similar or even better scores for the gaze interaction.

References

[1]

Iso, I. S. O. 2012. 9241--411 Ergonomics of human-system interaction--Part 411: Evaluation methods for the design of physical input devices. International Organization for Standardization.

Google Scholar

[2]

Isokoski, P., Joos, M., Spakov, O., and Martin, B. 2009. Gaze controlled games. Universal Access in the Information Society 8, 4, 323--337.

Digital Library

Google Scholar

[3]

Jacob, R. J. K. 1991. The use of eye movements in human-computer interaction techniques: what you look at is what you get. ACM Transactions on Information Systems 9, 2, 152--169.

Digital Library

Google Scholar

[4]

Kumar, M., Klingner, J., Puranik, R, Winograd, T., and Paepke, A. 2008. Improving the accuracy of gaze input for interaction. In Proceedings of the 2008 symposium on Eye tracking research & applications, ACM, 65--68.

Digital Library

Google Scholar

[5]

Vertegaal, R. 2008. A Fitts Law comparison of eye tracking and manual input in the selection of visual targets. In Proceedings of the 10^th international conference on Multimodal Interfaces, ACM, 241--248.

Digital Library

Google Scholar

[6]

Zhang, X., and MacKenzie, I. S. 2007. Evaluating eye tracking with ISO 9241-part 9. In Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments, Springer Berlin Heidelberg, 779--788.

Digital Library

Google Scholar

Cited By

View all

Hild JKrüger WHolzbach GVoit MPeinsipp-Byma E(2023)Pilot Study on Interaction with Wide Area Motion Imagery Comparing Gaze Input and Mouse InputHuman Interface and the Management of Information10.1007/978-3-031-35132-7_26(352-369)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-35132-7_26
Hutt SStewart AGregg JMattingly SD'Mello S(2022)Feasibility of Longitudinal Eye-Gaze Tracking in the WorkplaceProceedings of the ACM on Human-Computer Interaction10.1145/35308896:ETRA(1-21)Online publication date: 13-May-2022
https://dl.acm.org/doi/10.1145/3530889
Hutt SKrasich KMills CBosch NWhite SBrockmole JD’Mello S(2022)Automated gaze-based mind wandering detection during computerized learning in classroomsUser Modeling and User-Adapted Interaction10.1007/s11257-019-09228-529:4(821-867)Online publication date: 11-Mar-2022
https://dl.acm.org/doi/10.1007/s11257-019-09228-5
Show More Cited By

Index Terms

Gaze-based moving target acquisition in real-time full motion video
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

Moving target acquisition by gaze pointing and button press using hand or foot
ETRA '16: Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications

This work explores gaze-based interaction for moving target acquisition. In a pilot study, three interaction techniques are compared: gaze and manual button press (gaze + hand), gaze and foot button press (gaze + foot), and traditional mouse input. In a ...
Comparing mouse and MAGIC pointing for moving target acquisition
ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications

Moving target acquisition is a challenging and manually stressful task if performed using an all-manual, pointer-based interaction technique like mouse interaction, especially if targets are small, move fast, and are visible on screen only for a limited ...
Gaze-Based Moving Target Acquisition using Pseudo Stopping for the Time predicted via Fitts' Law
AVI '20: Proceedings of the 2020 International Conference on Advanced Visual Interfaces

This paper describes a technique of gaze-based moving target acquisition achieved by pseudo stopping the target for the time predicted via Fitts' Law, after saccades have been detected. This technique only requires eye-movements for the acquisition of ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ETRA '16: Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications

March 2016

378 pages

ISBN:9781450341257

DOI:10.1145/2857491

Conference Chairs:
Pernilla Qvarfordt
FX Palo Alto Laboratory
,
Dan Witzner Hansen
IT University of Copenhagen, Denmark

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 March 2016

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper

Conference

ETRA '16

Sponsor:

ETRA '16: 2016 Symposium on Eye Tracking Research and Applications

March 14 - 17, 2016

South Carolina, Charleston

Acceptance Rates

Overall Acceptance Rate 69 of 137 submissions, 50%

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
218
Total Downloads

Downloads (Last 12 months)10
Downloads (Last 6 weeks)3

Reflects downloads up to 11 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Hild JKrüger WHolzbach GVoit MPeinsipp-Byma E(2023)Pilot Study on Interaction with Wide Area Motion Imagery Comparing Gaze Input and Mouse InputHuman Interface and the Management of Information10.1007/978-3-031-35132-7_26(352-369)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-35132-7_26
Hutt SStewart AGregg JMattingly SD'Mello S(2022)Feasibility of Longitudinal Eye-Gaze Tracking in the WorkplaceProceedings of the ACM on Human-Computer Interaction10.1145/35308896:ETRA(1-21)Online publication date: 13-May-2022
https://dl.acm.org/doi/10.1145/3530889
Hutt SKrasich KMills CBosch NWhite SBrockmole JD’Mello S(2022)Automated gaze-based mind wandering detection during computerized learning in classroomsUser Modeling and User-Adapted Interaction10.1007/s11257-019-09228-529:4(821-867)Online publication date: 11-Mar-2022
https://dl.acm.org/doi/10.1007/s11257-019-09228-5
Hild JHolzbach GMaier Svan de Camp FVoit MPeinsipp-Byma E(2022)Gaze-Enhanced User Interface for Real-Time Video SurveillanceHCI International 2022 – Late Breaking Posters10.1007/978-3-031-19679-9_7(46-53)Online publication date: 24-Nov-2022
https://doi.org/10.1007/978-3-031-19679-9_7
Hirzle TCordts MRukzio EBulling A(2020)A Survey of Digital Eye Strain in Gaze-Based Interactive SystemsACM Symposium on Eye Tracking Research and Applications10.1145/3379155.3391313(1-12)Online publication date: 2-Jun-2020
https://dl.acm.org/doi/10.1145/3379155.3391313
Hild JSaur GPetersen PVoit MPeinsipp-Byma EBeyerer J(2018)Evaluating User Interfaces Supporting Change Detection in Aerial Images and Aerial Image SequencesHuman Interface and the Management of Information. Information in Applications and Services10.1007/978-3-319-92046-7_33(383-402)Online publication date: 7-Jun-2018
https://doi.org/10.1007/978-3-319-92046-7_33
Hild JKlaus EHammer JMartin MVoit MPeinsipp-Byma EBeyerer J(2018)A Pilot Study on Gaze-Based Control of a Virtual Camera Using 360°-Video DataEngineering Psychology and Cognitive Ergonomics10.1007/978-3-319-91122-9_34(419-428)Online publication date: 15-Jul-2018
https://dl.acm.org/doi/10.1007/978-3-319-91122-9_34
Putze FPopp JHild JBeyerer JSchultz TNakano YAndré ENishida TMorency LBusso CPelachaud C(2016)Intervention-free selection using EEG and eye trackingProceedings of the 18th ACM International Conference on Multimodal Interaction10.1145/2993148.2993199(153-160)Online publication date: 31-Oct-2016
https://dl.acm.org/doi/10.1145/2993148.2993199
Hild JKrüger WHeinze NPeinsipp-Byma EBeyerer J(2016)Interacting with target tracking algorithms in a gaze-enhanced motion video analysis systemGeospatial Informatics, Fusion, and Motion Video Analytics VI10.1117/12.2223726(98410K)Online publication date: 13-May-2016
https://doi.org/10.1117/12.2223726

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Moving target acquisition by gaze pointing and button press using hand or foot

Comparing mouse and MAGIC pointing for moving target acquisition

Gaze-Based Moving Target Acquisition using Pseudo Stopping for the Time predicted via Fitts' Law