research-article

Fast Human-Computer Interaction by Combining Gaze Pointing and Face Gestures

Authors:

Martin LochnerAuthors Info & Claims

ACM Transactions on Accessible Computing (TACCESS), Volume 10, Issue 3

Article No.: 10, Pages 1 - 18

https://doi.org/10.1145/3075301

Published: 11 August 2017 Publication History

Abstract

In this work, we show how our open source accessibility software, the FaceSwitch, can help motor-impaired subjects to efficiently interact with a computer hands-free. The FaceSwitch enhances gaze interaction with video-based face gestures interaction. The emerging multimodal system allows for interaction with a user interface by means of gaze pointing for target selection and facial gestures for target-specific action commands. The FaceSwitch maps facial gestures to specific mouse or keyboard events such as: left mouse click, right mouse click, or page scroll down. Hence, facial gestures serve the purpose of mechanical switches. With this multimodal interaction paradigm, the user gazes at the object in the user interface with which it wants to interact and then triggers a target-specific action by performing a face gesture. Through a rigorous user study, we have obtained quantitative evidence that suggests our proposed interaction paradigm improves the performance of traditional accessibility options, such as gaze-only interaction or gaze with a single mechanical switch interaction while coming close in terms of speed and accuracy with traditional mouse-based interaction. We make the FaceSwitch software freely available to the community so the output of our research can help the target audience.

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https://doi.org/10.57088/978-3-7929-9120-6_25
Lai YSun MLi Z(2024)GazePuffer: Hands-Free Input Method Leveraging Puff Cheeks for VR2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00055(331-341)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VR58804.2024.00055
Wang LMeng J(2024)Optimization Algorithm for Intelligent Cockpit Human Computer Interaction Interface Design Based on Neural Network Model2024 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE)10.1109/EDPEE61724.2024.00142(738-742)Online publication date: 27-Feb-2024
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Index Terms

Fast Human-Computer Interaction by Combining Gaze Pointing and Face Gestures
1. Human-centered computing
  1. Accessibility
    1. Empirical studies in accessibility

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Published In

cover image ACM Transactions on Accessible Computing

ACM Transactions on Accessible Computing Volume 10, Issue 3

August 2017

76 pages

ISSN:1936-7228

EISSN:1936-7236

DOI:10.1145/3132048

Editors:
Matt Huenerfauth
Rochester Institute of Technology, USA
,
Kathleen F. McCoy
University of Delaware, USA

Issue’s Table of Contents

Copyright © 2017 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 August 2017

Accepted: 01 March 2017

Revised: 01 January 2017

Received: 01 September 2015

Published in TACCESS Volume 10, Issue 3

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Cited By

Womser-Hacker C(2024)Accessible human-computer interactionHandbook of Accessible Communication10.57088/978-3-7929-9120-6_25(497-512)Online publication date: 2024
https://doi.org/10.57088/978-3-7929-9120-6_25
Lai YSun MLi Z(2024)GazePuffer: Hands-Free Input Method Leveraging Puff Cheeks for VR2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00055(331-341)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VR58804.2024.00055
Wang LMeng J(2024)Optimization Algorithm for Intelligent Cockpit Human Computer Interaction Interface Design Based on Neural Network Model2024 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE)10.1109/EDPEE61724.2024.00142(738-742)Online publication date: 27-Feb-2024
https://doi.org/10.1109/EDPEE61724.2024.00142
Bisogni CNappi MTortora GDel Bimbo A(2024)Gaze analysisImage and Vision Computing10.1016/j.imavis.2024.104961144:COnline publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1016/j.imavis.2024.104961
Hou Y(2024)Application of intelligent internet of things and interaction design in Museum TourHeliyon10.1016/j.heliyon.2024.e3586610:16(e35866)Online publication date: Aug-2024
https://doi.org/10.1016/j.heliyon.2024.e35866
Price ALoizides F(2024)Allowing for Secure and Accessible Authentication for Individuals with Disabilities of DexterityHuman-Centered Software Engineering10.1007/978-3-031-64576-1_7(133-146)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1007/978-3-031-64576-1_7
Manzoni MAhmetovic DMascetti S(2024)Personalized Facial Gesture Recognition for Accessible Mobile GamingComputers Helping People with Special Needs10.1007/978-3-031-62846-7_15(120-127)Online publication date: 5-Jul-2024
https://doi.org/10.1007/978-3-031-62846-7_15
Wang SNiu HWei WYang XZhang SAi M(2024)Eye-Gaze-Based Intention Recognition for Selection Task by Using SVM-RFHuman-Computer Interaction10.1007/978-3-031-60449-2_11(157-168)Online publication date: 29-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-60449-2_11
Wamba SKamdjoug JTchana PTeutio A(2023)Task-Technology Fit and ICT Use in Remote Work Practice During the COVID-19 PandemicJournal of Global Information Management10.4018/JGIM.32409731:1(1-24)Online publication date: 8-Jun-2023
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Batta AKar ASatpathy S(2023)Cross-Platform Analysis of Seller Performance and Churn for Ecommerce Using Artificial IntelligenceJournal of Global Information Management10.4018/JGIM.32243931:1(1-21)Online publication date: 2-May-2023
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