research-article

A quantitative quality model for gesture based user interfaces

Authors:

Kayne Barclay,

Danny Wei,

Christof Lutteroth,

Robert SheehanAuthors Info & Claims

OzCHI '11: Proceedings of the 23rd Australian Computer-Human Interaction Conference

Pages 31 - 39

https://doi.org/10.1145/2071536.2071540

Published: 28 November 2011 Publication History

Get Access

Abstract

The technological advancement of computers and cameras over the past few years has given us the ability to control objects without touching them. There have already been a number of attempts at producing gesture based applications, but many of them have usability issues. This paper proposes a model that reflects the usability of a gesture based interface, in order to evaluate and improve a gesture-controlled system. The model defines four levels of abstraction, with the higher levels based on the lower ones. The levels of the model allow us to propose quantitative notions for 1) the parameters affecting the quality of individual gestures, 2) the overall quality of a gesture, 3) the quality of particular functionalities, or use cases, in a system, and 4) the overall quality of a system. The model was evaluated using an existing gesture-based interface for a popular media center application.

References

[1]

Baudel, T., Lafton, M. B. CHARADE: Remote Control of Objects using Free-Hand Gestures. Commun. ACM-Special issue on computer augmented environments: back to the real world, (1993), Vol. 36, 28--35.

Digital Library

Google Scholar

[2]

Borg, G., Borg's Perceived Exertion and Pain Scales, Human Kinetics (1998).

Google Scholar

[3]

Forlines, C., Wigdor, D., Shen, C., Balakrishnan, R. Direct-Touch vs. Mouse Input for Tabletop Displays. Proc. CHI 2007, ACM PRESS (2007), 647--656.

Digital Library

Google Scholar

[4]

Freeman, W. T., Weissman, C. D. Television Control by Hand Gestures. IEEE Intl. Wkshp. on Automatic Face and Gesture Recognition, (1995), 24--31.

Google Scholar

[5]

Fukumoto, M., Mase, K. and Suenaga, Y. Finger-pointer: A Glove Free Interface, CHI'92 Conference Proceedings, Poster and Short Talks booklet,(1992), 62.

Digital Library

Google Scholar

[6]

Lenman, S., Bretzner, L., Eiderback, B. Computer Vision Based Recognition of Hand Gestures for HumanComputer Interaction. Proc. of the second Nordic conference on HCI (NordiCHI '02), (2002), 239--242.

Google Scholar

[7]

Lenman, S., Bretzner, L., Thuresson, B. Using Marking Menus to Develop Command Sets for Computer Vision Based Hand Gesture Interfaces. Proceedings of the Second Nordic Conference on Human-Computer Interaction, (2002), 239--242.

Digital Library

Google Scholar

[8]

Nielson, M., Storring, M., Moeslund, T. B., and Granum, E. A procedure for developing intuitive and ergonomic gesture interfaces for man-machine interaction. Technical Report CVMT, (2003), 03--01.

Google Scholar

[9]

North, C., Dwyer, T., Lee, B., Fisher, D., Isenberg, P., Robertson, G., Inkpen, K. Understanding Multi-touch Manuipulation for Surface Computing. Lecture Notes in Computer Science 5727, (2009), 236--249.

Digital Library

Google Scholar

[10]

Stern, H. I., Wachs, J. P., and Edan, Y. Hand gesture vocabulary design: a multicriteria optimization. IEEE SMC 2004, Inter. Conf. on Systems, Man and Cybernetics, (2004), 10--13.

Crossref

Google Scholar

[11]

Stern, H. I., Wachs, J. P., Edan, Y. Human Factors for Design of Hand Gesture Human -Machine Interaction. IEEE Intl. Conf. on Systems, Man and Cybernetics (SMC '06), (2006), 4052--4057.

Google Scholar

Cited By

View all

Li YTag BDai SCrowther RDwyer TIrani PEns B(2024)NICER: A New and Improved Consumed Endurance and Recovery Metric to Quantify Muscle Fatigue of Mid-Air InteractionsACM Transactions on Graphics10.1145/365823043:4(1-14)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3658230
Sellier QSluÿters AVanderdonckt JPoncin I(2024)Evaluating gesture user interfacesInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103242185:COnline publication date: 1-May-2024
https://dl.acm.org/doi/10.1016/j.ijhcs.2024.103242
Floris APorcu SAtzori L(2023)Controlling Media Player with Hands: A Transformer Approach and a Quality of Experience AssessmentACM Transactions on Multimedia Computing, Communications, and Applications10.1145/363856020:5(1-22)Online publication date: 25-Dec-2023
https://dl.acm.org/doi/10.1145/3638560
Show More Cited By

Index Terms

A quantitative quality model for gesture based user interfaces
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

User experience of gesture based interfaces: a comparison with traditional interaction methods on pragmatic and hedonic qualities
GW'11: Proceedings of the 9th international conference on Gesture and Sign Language in Human-Computer Interaction and Embodied Communication

Studies into gestural interfaces --- and interfaces in general - typically focus on pragmatic or usability aspects (e.g., ease of use, learnability). Yet the merits of gesture-based interaction likely go beyond the purely pragmatic and impact a broader ...
Towards context-aware gesture enabled user interfaces
Tracking of deformable human hand in real time as continuous input for gesture-based interaction
IUI '07: Proceedings of the 12th international conference on Intelligent user interfaces

Gesture input is a natural and effective interactive model. The tracking of deformable hand gesture is a very important task in gesture-based interaction. A novel real-time tracking approach is proposed to capture hand motion with single camera. It ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

OzCHI '11: Proceedings of the 23rd Australian Computer-Human Interaction Conference

November 2011

363 pages

ISBN:9781450310901

DOI:10.1145/2071536

Conference Chair:
Duncan Stevenson
Australian National University

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]

In-Cooperation

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

OzCHI '11

Sponsor:

Human Factors & Ergonomics Soc

OzCHI '11: The Annual Meeting of the Australian Special Interest Group for Computer Human Interaction

November 28 - December 2, 2011

Canberra, Australia

Acceptance Rates

Overall Acceptance Rate 362 of 729 submissions, 50%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

28
Total Citations
View Citations
480
Total Downloads

Downloads (Last 12 months)18
Downloads (Last 6 weeks)2

Reflects downloads up to 23 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Li YTag BDai SCrowther RDwyer TIrani PEns B(2024)NICER: A New and Improved Consumed Endurance and Recovery Metric to Quantify Muscle Fatigue of Mid-Air InteractionsACM Transactions on Graphics10.1145/365823043:4(1-14)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3658230
Sellier QSluÿters AVanderdonckt JPoncin I(2024)Evaluating gesture user interfacesInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103242185:COnline publication date: 1-May-2024
https://dl.acm.org/doi/10.1016/j.ijhcs.2024.103242
Floris APorcu SAtzori L(2023)Controlling Media Player with Hands: A Transformer Approach and a Quality of Experience AssessmentACM Transactions on Multimedia Computing, Communications, and Applications10.1145/363856020:5(1-22)Online publication date: 25-Dec-2023
https://dl.acm.org/doi/10.1145/3638560
Li YCrowther RSmiley JDwyer TTag BIrani PEns B(2023)Revisiting Consumed Endurance: A NICE Way to Quantify Shoulder Fatigue in Virtual RealityProceedings of the 29th ACM Symposium on Virtual Reality Software and Technology10.1145/3611659.3615702(1-10)Online publication date: 9-Oct-2023
https://dl.acm.org/doi/10.1145/3611659.3615702
Xia HGlueck MAnnett MWang MWigdor D(2022)Iteratively Designing Gesture Vocabularies: A Survey and Analysis of Best Practices in the HCI LiteratureACM Transactions on Computer-Human Interaction10.1145/350353729:4(1-54)Online publication date: 5-May-2022
https://dl.acm.org/doi/10.1145/3503537
Chowdhury SUllah APelmore NIrani PHasan K(2022)WriArm: Leveraging Wrist Movement to Design Wrist+Arm Based Teleportation in VR2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR55827.2022.00047(317-325)Online publication date: Oct-2022
https://doi.org/10.1109/ISMAR55827.2022.00047
Kazhura M(2022)Exploring New Depths: How Could Passengers Interact with Future In-Car Holographic 3D Displays?HCI in Mobility, Transport, and Automotive Systems10.1007/978-3-031-04987-3_3(35-61)Online publication date: 16-Jun-2022
https://doi.org/10.1007/978-3-031-04987-3_3
Cisse KGandhi ALottridge DAmor R(2020)User Elicited Hand Gestures for VR-based Navigation of Architectural Designs2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VL/HCC50065.2020.9127275(1-5)Online publication date: Aug-2020
https://doi.org/10.1109/VL/HCC50065.2020.9127275
Yan XMadier KPark SNewman MHarrison SBardzell SNeustaedter CTatar D(2019)Towards Low-burden In-situ Self-reportingCompanion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion10.1145/3301019.3323905(337-346)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3301019.3323905
Zadeh ACalitz AGreyling JPetratos Svan Niekerk JHaskins B(2018)Evaluating a biosensor-based interface to recognize hand-finger gestures using a Myo armbandProceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists10.1145/3278681.3278709(229-238)Online publication date: 26-Sep-2018
https://dl.acm.org/doi/10.1145/3278681.3278709
Show More Cited By

View Options

Login options

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

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

User experience of gesture based interfaces: a comparison with traditional interaction methods on pragmatic and hedonic qualities

Towards context-aware gesture enabled user interfaces

Tracking of deformable human hand in real time as continuous input for gesture-based interaction

Comments

Information

Published In

Sponsors

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations