extended-abstract

MobiGaze: development of a gaze interface for handheld mobile devices

Authors:

Takashi Nagamatsu,

Michiya Yamamoto,

Hiroshi SatoAuthors Info & Claims

CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems

Pages 3349 - 3354

https://doi.org/10.1145/1753846.1753983

Published: 10 April 2010 Publication History

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Abstract

Handheld mobile devices that have a touch screen are widely used but are awkward to use with one hand. To solve this problem, we propose MobiGaze, which is a user interface that uses one's gaze (gaze interface) to operate a handheld mobile device. By using stereo cameras, the user's line of sight is detected in 3D, enabling the user to interact with a mobile device by means of his/her gaze. We have constructed a prototype system of MobiGaze that consists of two cameras with IR-LED, a Windows-based notebook PC, and iPod touch. Moreover, we have developed several applications for MobiGaze.

References

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Jacob, R.J.K. 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) (1991), 152--169.

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LUKANDER, K. A system for tracking gaze on handheld devices Behavior Research Methods, 38 (4) (2006), 660--666.

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Nagamatsu, T., Kamahara, J. and Tanaka, N. 3D Gaze Tracking with Easy Calibration Using stereo Cameras for Robot and Human Communication. in Proceedings of the 17th International Symposium on Robot and Human Interactive Communication (IEEE ROMAN) 2008 (2008), 59--64.

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[5]

Nagamatsu, T., Iwamoto, Y., Kamahara, J., Tanaka, N. and Yamamoto, M. Gaze Estimation Method based on an Aspherical Model of the Cornea: Surface of Revolution about the Optical Axis of the Eye. in Proceedings of the 2010 Symposium on Eye Tracking Research & Applications (2010).

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Cited By

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Namnakani O(2023)Gaze-based Interaction on Handheld Mobile DevicesProceedings of the 2023 Symposium on Eye Tracking Research and Applications10.1145/3588015.3589540(1-4)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.1145/3588015.3589540
Niu HVan Leeuwen CHao JWang GLachmann T(2022)Multimodal Natural Human–Computer Interfaces for Computer-Aided Design: A Review PaperApplied Sciences10.3390/app1213651012:13(6510)Online publication date: 27-Jun-2022
https://doi.org/10.3390/app12136510
S HAgarwal VGhosh SRamena GKumar SRaja B(2022)PrivPAS: A real time Privacy-Preserving AI System and applied ethics2022 IEEE 16th International Conference on Semantic Computing (ICSC)10.1109/ICSC52841.2022.00010(9-16)Online publication date: Jan-2022
https://doi.org/10.1109/ICSC52841.2022.00010
Show More Cited By

Index Terms

MobiGaze: development of a gaze interface for handheld mobile devices
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens

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Information & Contributors

Information

Published In

CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems

April 2010

2219 pages

ISBN:9781605589305

DOI:10.1145/1753846

General Chairs:
Elizabeth Mynatt
Georgia Institute of Technology
,
Don Schoner
Georgia Institute of Technology
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Scott Hudson
Carnegie Mellon University
,
Keith Edwards
Georgia Tech
,
Tom Rodden
University of Nottingham

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 April 2010

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Extended-abstract

Conference

CHI '10

Sponsor:

SIGCHI

CHI '10: CHI Conference on Human Factors in Computing Systems

April 10 - 15, 2010

Georgia, Atlanta, USA

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CHI EA '10 Paper Acceptance Rate 350 of 1,346 submissions, 26%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all

Namnakani O(2023)Gaze-based Interaction on Handheld Mobile DevicesProceedings of the 2023 Symposium on Eye Tracking Research and Applications10.1145/3588015.3589540(1-4)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.1145/3588015.3589540
Niu HVan Leeuwen CHao JWang GLachmann T(2022)Multimodal Natural Human–Computer Interfaces for Computer-Aided Design: A Review PaperApplied Sciences10.3390/app1213651012:13(6510)Online publication date: 27-Jun-2022
https://doi.org/10.3390/app12136510
S HAgarwal VGhosh SRamena GKumar SRaja B(2022)PrivPAS: A real time Privacy-Preserving AI System and applied ethics2022 IEEE 16th International Conference on Semantic Computing (ICSC)10.1109/ICSC52841.2022.00010(9-16)Online publication date: Jan-2022
https://doi.org/10.1109/ICSC52841.2022.00010
Cheng SPing QWang JChen Y(2022)EasyGaze: Hybrid eye tracking approach for handheld mobile devicesVirtual Reality & Intelligent Hardware10.1016/j.vrih.2021.10.0034:2(173-188)Online publication date: Apr-2022
https://doi.org/10.1016/j.vrih.2021.10.003
Hossain TIslam MDelamare WChowdhury FHasan K(2021)Exploring Social Acceptability and Users’ Preferences of Head- and Eye-Based Interaction with Mobile DevicesProceedings of the 20th International Conference on Mobile and Ubiquitous Multimedia10.1145/3490632.3490636(12-23)Online publication date: 5-Dec-2021
https://dl.acm.org/doi/10.1145/3490632.3490636
Yamato YSuzuki YTakahashi S(2021)FGFlick: Augmenting Single-Finger Input Vocabulary for Smartphones with Simultaneous Finger and Gaze FlicksHuman-Computer-Interaction – INTERACT 202110.1007/978-3-030-85607-6_50(421-425)Online publication date: 27-Aug-2021
https://doi.org/10.1007/978-3-030-85607-6_50
Kar PChattopadhyay SChakraborty S(2020)Gestatten: Estimation of User's Attention in Mobile MOOCs From Eye Gaze and Gaze Gesture TrackingProceedings of the ACM on Human-Computer Interaction10.1145/33949744:EICS(1-32)Online publication date: 18-Jun-2020
https://dl.acm.org/doi/10.1145/3394974
Uhm KKang MKim JKo S(2020)Improving the robustness of gaze tracking under unconstrained illumination conditionsMultimedia Tools and Applications10.1007/s11042-020-08679-yOnline publication date: 21-Apr-2020
https://doi.org/10.1007/s11042-020-08679-y
Pi JShi BKrejtz KSharif B(2019)Task-embedded online eye-tracker calibration for improving robustness to head motionProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3314111.3319845(1-9)Online publication date: 25-Jun-2019
https://dl.acm.org/doi/10.1145/3314111.3319845
Brousseau BRose JEizenman M(2018)Accurate Model-Based Point of Gaze Estimation on Mobile DevicesVision10.3390/vision20300352:3(35)Online publication date: 24-Aug-2018
https://doi.org/10.3390/vision2030035
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