short-paper

Exploring the Data Tracking and Sharing Preferences of Wheelchair Athletes

Authors:

Patrick Carrington,

Jeffrey P. BighamAuthors Info & Claims

ASSETS '18: Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility

Pages 242 - 248

https://doi.org/10.1145/3234695.3236353

Published: 08 October 2018 Publication History

Abstract

Sports are increasingly data-driven. Athletes use a variety of physical activity monitors to capture their movements, improve performance, and achieve excellence. To understand how wheelchair athletes want to use and share their activity data, we conducted a study using a prototype wheelchair fitness tracking device, which served as a probe to facilitate discussions. We interviewed 15 wheelchair basketball players about the use of performance data in the context of wheelchair basketball, and we discuss several implications for using and sharing automatically-tracked data. We find that the wheelchair basketball community is less concerned about the privacy of their data, and, in contrast to health data, athletes are motivated by competition. We conclude with a set of design opportunities that leverage digitized performance metrics within wheelchair basketball, which could apply to the broader wheelchair and adaptive athletics community.

References

[1]

Ahmad, F., Hudak, P. L., Bercovitz, K., Hollenberg, E., & Levinson, W. (2006). Are physicians ready for patients with Internet-based health information?. Journal of medical internet research, 8(3).

[2]

Burkett, B. (2010). Technology in Paralympic sport: performance enhancement or essential for performance?. British journal of sports medicine, 44(3), 215--220.

[3]

Cahill, N., Lamb, K., Worsfold, P., Headey, R., & Murray, S. (2013). The movement characteristics of English Premiership rugby union players. Journal of Sports Sciences, 31(3), 229--237.

[4]

Carrington, P., Chang, K., Mentis, H., & Hurst, A. (2015, October). But, I don't take steps: Examining the Inaccessibility of Fitness Trackers for Wheelchair Athletes. In Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility (pp. 193--201). ACM.

Digital Library

[5]

Carrington, P., Hurst, A., & Kane, S. K. (2014, April). Wearables and chairables: inclusive design of mobile input and output techniques for power wheelchair users. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (pp. 3103--3112). ACM.

Digital Library

[6]

Carrington, P., Ketter, D., & Hurst, A. (2017, October). Understanding Fatigue and Stamina Management Opportunities and Challenges in Wheelchair Basketball. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (pp. 130--139). ACM.

Digital Library

[7]

Chan, C. B., Ryan, D. A., & Tudor-Locke, C. (2004). Health benefits of a pedometer-based physical activity intervention in sedentary workers. Preventive medicine, 39(6), 1215--1222.

[8]

Duffield, R., Dawson, B., Pinnington, H. C., & Wong, P. (2004). Accuracy and reliability of a Cosmed K4b2 portable gas analysis system. Journal of Science and Medicine in Sport, 7(1), 11--22.

[9]

Fritz, T., Huang, E. M., Murphy, G. C., & Zimmermann, T. (2014, April). Persuasive technology in the real world: a study of long-term use of activity sensing devices for fitness. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 487--496). ACM.

Digital Library

[10]

Hiremath, S. V., Ding, D., & Cooper, R. A. (2013). Development and evaluation of a gyroscope-based wheel rotation monitor for manual wheelchair users. The journal of spinal cord medicine, 36(4), 347--356.

[11]

Keogh, J. W. (2011). Paralympic sport: an emerging area for research and consultancy in sports biomechanics. Sports Biomechanics, 10(3), 234--253.

[12]

MacLeod, H., Tang, A., & Carpendale, S. (2013, May). Personal informatics in chronic illness management. In Proceedings of Graphics Interface 2013 (pp. 149--156). Canadian Information Processing Society.

Digital Library

[13]

Malu, M., & Findlater, L. (2016, May). Toward accessible health and fitness tracking for people with mobility impairments. In Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare (pp. 170--177). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering).

Digital Library

[14]

Malu, M., & Findlater, L. (2017, May). Sharing automatically tracked activity data: implications for therapists and people with mobility impairments. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare (pp. 136--145). ACM.

Digital Library

[15]

Mason, B., Lenton, J., Rhodes, J., Cooper, R., & Goosey-Tolfrey, V. (2014). Comparing the activity profiles of wheelchair rugby using a miniaturised data logger and radio-frequency tracking system. BioMed Research International, 2014.

[16]

Montgomery, P. G., Pyne, D. B., Hopkins, W. G., Dorman, J. C., Cook, K., & Minahan, C. L. (2008). The effect of recovery strategies on physical performance and cumulative fatigue in competitive basketball. Journal of sports sciences, 26(11), 1135--1145.

[17]

Morris, D., Saponas, T. S., Guillory, A., & Kelner, I. (2014, April). RecoFit: using a wearable sensor to find, recognize, and count repetitive exercises. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 3225--3234). ACM.

Digital Library

[18]

Munson, S. A., & Consolvo, S. (2012, May). Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity. In Pervasive computing technologies for healthcare (PervasiveHealth), 2012 6th international conference on (pp. 25--32). IEEE.

[19]

Patel, M. S., Asch, D. A., & Volpp, K. G. (2015). Wearable devices as facilitators, not drivers, of health behavior change. Jama, 313(5), 459--460.

[20]

Rampinini, E., Impellizzeri, F. M., Castagna, C., Coutts, A. J., & Wisløff, U. (2009). Technical performance during soccer matches of the Italian Serie A league: Effect of fatigue and competitive level. Journal of Science and Medicine in Sport, 12(1), 227--233.

[21]

Rector, K., Milne, L., Ladner, R. E., Friedman, B., & Kientz, J. A. (2015, October). Exploring the opportunities and challenges with exercise technologies for people who are blind or low-vision. In Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility (pp. 203--214). ACM.

Digital Library

[22]

Robson-Ansley, P. J., Gleeson, M., & Ansley, L. (2009). Fatigue management in the preparation of Olympic athletes. Journal of sports sciences, 27(13), 1409--1420.

[23]

Rooksby, J., Rost, M., Morrison, A., & Chalmers, M. C. (2014, April). Personal tracking as lived informatics. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (pp. 1163--1172). ACM.

Digital Library

[24]

Siegle, M., Stevens, T., & Lames, M. (2013). Design of an accuracy study for position detection in football. Journal of Sports Sciences, 31(2), 166--172.

[25]

Sporner, M. L., Grindle, G. G., Kelleher, A., Teodorski, E. E., Cooper, R., & Cooper, R. A. (2009). Quantification of activity during wheelchair basketball and rugby at the National Veterans Wheelchair Games: A pilot study. Prosthetics and orthotics international, 33(3), 210--217.

[26]

Stevenson, F. A., Kerr, C., Murray, E., & Nazareth, I. (2007). Information from the Internet and the doctor-patient relationship: the patient perspective--a qualitative study. BMC family practice, 8(1), 47.

[27]

Tolerico, M. L., Ding, D., Cooper, R. A., & Spaeth, D. M. (2007). Assessing mobility characteristics and activity levels of manual wheelchair users. Journal of rehabilitation research and development, 44(4), 56

[28]

Whooley, M., Ploderer, B., & Gray, K. (2014, September). On the integration of self-tracking data amongst quantified self members. In Proceedings of the 28th International BCS Human Computer Interaction Conference on HCI 2014-Sand, Sea and Sky-Holiday HCI (pp. 151--160). BCS.

Digital Library

Cited By

Lee JLee BChoi SSeo JChoe E(2024)Identify, Adapt, PersistProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595858:2(1-21)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659585
Li YLi FCarrington P(2023)Breaking the “Inescapable” Cycle of Pain: Supporting Wheelchair Users’ Upper Extremity Health Awareness and Management with Tracking TechnologiesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580660(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580660
Motahar TWiese J(2022)A Review of Personal Informatics Research for People with Motor DisabilitiesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35346146:2(1-31)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3534614
Show More Cited By

Index Terms

Exploring the Data Tracking and Sharing Preferences of Wheelchair Athletes
1. Human-centered computing
  1. Accessibility
  2. Human computer interaction (HCI)

Recommendations

Understanding Fatigue and Stamina Management Opportunities and Challenges in Wheelchair Basketball
ASSETS '17: Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility

Wearable fitness devices have demonstrated the capacity to improve overall fitness and athletic performance. Previous research has identified a need for these technologies to take into consideration a broader range of abilities to create more inclusive ...
Development of Wheelchair Dance Game using Wheel Rotation Speed as Input
VRIC '17: Proceedings of the Virtual Reality International Conference - Laval Virtual 2017

A wheelchair is often caught as a tool for substitution to walk and to move; however in recent years, another type of wheelchair superior in design to fascinate onlookers appears. Following and pushing forward this tendency, we aim to create a ...
Playful interactive systems to support physical activity among wheelchair users
HCI '18: Proceedings of the 32nd International BCS Human Computer Interaction Conference

Health benefits associated with physical activity (PA) are widely accepted; however, nearly two-thirds of people with disabilities are not active enough to achieve health benefits. This is due to several unique environmental, programmatic and ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

ASSETS '18: Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility

October 2018

508 pages

ISBN:9781450356503

DOI:10.1145/3234695

General Chair:
Faustina Hwang
University of Reading, UK
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
David Flatla
University of Guelph, Canada

Copyright © 2018 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 the author(s) 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].

Sponsors

SIGACCESS: ACM Special Interest Group on Accessible Computing

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 October 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper

Funding Sources

National Institute on Disability, Independent Living, and Rehabilitation Research

Conference

ASSETS '18

Sponsor:

SIGACCESS

ASSETS '18: The 20th International ACM SIGACCESS Conference on Computers and Accessibility

October 22 - 24, 2018

Galway, Ireland

Acceptance Rates

ASSETS '18 Paper Acceptance Rate 28 of 108 submissions, 26%;

Overall Acceptance Rate 436 of 1,556 submissions, 28%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

10
Total Citations
View Citations
392
Total Downloads

Downloads (Last 12 months)22
Downloads (Last 6 weeks)0

Reflects downloads up to 02 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Lee JLee BChoi SSeo JChoe E(2024)Identify, Adapt, PersistProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595858:2(1-21)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659585
Li YLi FCarrington P(2023)Breaking the “Inescapable” Cycle of Pain: Supporting Wheelchair Users’ Upper Extremity Health Awareness and Management with Tracking TechnologiesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580660(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580660
Motahar TWiese J(2022)A Review of Personal Informatics Research for People with Motor DisabilitiesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35346146:2(1-31)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3534614
Motahar TGhosh IWiese J(2022)Identifying factors that inhibit self-care behavior among individuals with severe spinal cord injuryProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517658(1-16)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517658
Colley MKränzle TRukzio E(2022)Accessibility-Related Publication Distribution in HCI Based on a Meta-AnalysisExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519701(1-28)Online publication date: 27-Apr-2022
https://dl.acm.org/doi/10.1145/3491101.3519701
Khurana RWang ACarrington P(2021)Beyond Adaptive Sports: Challenges & Opportunities to Improve Accessibility and AnalyticsProceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3441852.3471223(1-11)Online publication date: 17-Oct-2021
https://dl.acm.org/doi/10.1145/3441852.3471223
Carrington PLaput GBigham J(2020)SpokeSenseACM SIGACCESS Accessibility and Computing10.1145/3386308.3386310(1-1)Online publication date: 2-Mar-2020
https://dl.acm.org/doi/10.1145/3386308.3386310
Kane SGuo AMorris M(2020)Sense and AccessibilityProceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3373625.3416990(1-14)Online publication date: 26-Oct-2020
https://dl.acm.org/doi/10.1145/3373625.3416990
Laput G(2019)Play ballXRDS: Crossroads, The ACM Magazine for Students10.1145/333988225:4(5-7)Online publication date: 9-Jul-2019
https://dl.acm.org/doi/10.1145/3339882
Mason LGerling KDickinson PDe Angeli ABrewster SFitzpatrick GCox AKostakos V(2019)Design Goals for Playful Technology to Support Physical Activity Among Wheelchair UsersProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300262(1-12)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300262

View Options

Get Access

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.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents