extended-abstract

Inferring user action with mobile gaze tracking

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Jenni RadunAuthors Info & Claims

MobileHCI '16: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct

Pages 1026 - 1028

https://doi.org/10.1145/2957265.2965016

Published: 06 September 2016 Publication History

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Abstract

Gaze tracking in psychological, cognitive, and user interaction studies has recently evolved toward mobile solutions, as they enable direct assessing of users' visual attention in natural environments, and augmented and virtual reality (AR/VR) applications. Productive approaches in analyzing and predicting user actions with gaze data require a multidisciplinary approach with experts in cognitive and behavioral sciences, machine vision, and machine learning. This workshop brings together a cross-domain group of individuals to (i) discuss and contribute to the problem of using mobile gaze tracking for inferring user action, (ii) advance the sharing of data and analysis algorithms as well as device solutions, and (iii) increase understanding of behavioral aspects of gaze-action sequences in natural environments and AR/VR applications.

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Cited By

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Lukander KToivanen MPuolamäki K(2020)Inferring Intent and Action from Gaze in Naturalistic BehaviorCognitive Analytics10.4018/978-1-7998-2460-2.ch074(1464-1482)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-2460-2.ch074
Lukander KToivanen MPuolamäki K(2017)Inferring Intent and Action from Gaze in Naturalistic BehaviorInternational Journal of Mobile Human Computer Interaction10.5555/3213394.32133989:4(41-57)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.5555/3213394.3213398
Lukander KToivanen MPuolamäki K(2017)Inferring Intent and Action from Gaze in Naturalistic BehaviorInternational Journal of Mobile Human Computer Interaction10.4018/IJMHCI.20171001049:4(41-57)Online publication date: 1-Oct-2017
https://doi.org/10.4018/IJMHCI.2017100104

Index Terms

Inferring user action with mobile gaze tracking
1. Human-centered computing

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Published In

MobileHCI '16: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct

September 2016

664 pages

ISBN:9781450344135

DOI:10.1145/2957265

General Chairs:
Fabio Paternò
CNR-ISTI, Italy
,
Kaisa Väänänen
Tampere University of Technology, Finland
,
Program Chairs:
Karen Church
Intercom, USA
,
Jonna Häkkilä
University of Lapland, Finland
,
Antonio Krüger
DFKI, Germany
,
Marcos Serrano
University of Toulouse, France

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 September 2016

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Suomen Akatemia

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MobileHCI '16

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SIGCHI

MobileHCI '16: 18th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 6 - 9, 2016

Florence, Italy

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Cited By

View all

Lukander KToivanen MPuolamäki K(2020)Inferring Intent and Action from Gaze in Naturalistic BehaviorCognitive Analytics10.4018/978-1-7998-2460-2.ch074(1464-1482)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-2460-2.ch074
Lukander KToivanen MPuolamäki K(2017)Inferring Intent and Action from Gaze in Naturalistic BehaviorInternational Journal of Mobile Human Computer Interaction10.5555/3213394.32133989:4(41-57)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.5555/3213394.3213398
Lukander KToivanen MPuolamäki K(2017)Inferring Intent and Action from Gaze in Naturalistic BehaviorInternational Journal of Mobile Human Computer Interaction10.4018/IJMHCI.20171001049:4(41-57)Online publication date: 1-Oct-2017
https://doi.org/10.4018/IJMHCI.2017100104

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Recommendations

Advantages of eye-gaze over head-gaze-based selection in virtual and augmented reality under varying field of views

The Eye in Extended Reality: A Survey on Gaze Interaction and Eye Tracking in Head-worn Extended Reality

Hitchhiking Hands: Remote Interaction by Switching Multiple Hand Avatars with Gaze