abstract

Understanding the Lonesome Tennis Players: Insights for Future Wearables

Authors:

Hayati Havlucu,

Öuzhan ÖzcanAuthors Info & Claims

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

Pages 1678 - 1685

https://doi.org/10.1145/3027063.3053102

Published: 06 May 2017 Publication History

Abstract

Wearable smart devices enhance athletes' physical activities by providing physical data on their performances. However, there is a high abandonment rate regarding these devices. This study aims to understand the habits and the wishes of the tennis players in order to create a more prolonged and frequent wearable usage. As a preliminary work, we conducted an online survey on the Turkish Tennis Federation's website with 1567 participants. Later we conducted in-depth interviews with 20 professional and international tennis players to get a better understanding of their wishes. Our initial results suggest that with the increase of tennis playing frequency the wearable usage frequency increases, which has not been indicated by previous studies. However, the most striking outcome of the study is the tennis players' need for feedback regarding mental states, which should be considered for future wearables.

References

[1]

Amin Ahmadi, David Rowlands, and Daniel Arthur James. 2010. Towards a wearable device for skill assessment and skill acquisition of a tennis player during the first serve. Sports Engineering 2, 3--4: 129--136.

[2]

D.M. Bravata, Crystal Smith-Spangler, Vandana Sundaram, et al. 2007. Using pedometers to increase physical activity and improve health: A systematic review. Journal of the American Medical Association 298, 19: 2296--2304.

[3]

Damien Connaghan, Phillip Kelly, Noel E. O'Connor, Mark Gaffney, Michael Walsh, and Cian O'Mathuna. 2011. Multi-sensor classification of tennis strokes. Proceedings of IEEE Sensors: 1437--1440.

[4]

Daniel A Epstein, Monica Caraway, Chuck Johnston, An Ping, James Fogarty, and Sean A Munson. 2016. Beyond Abandonment to Next Steps: Understanding and Designing for Life after Personal Informatics Tool Use. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems: 1109--1113.

Digital Library

[5]

Jutta Fortmann, Wilko Heuten, and Susanne Boll. 2015. User requirements for digital jewellery. Proceedings of the 2015 British HCI Conference on - British HCI '15: 119--125.

Digital Library

[6]

Thomas Fritz, Elaine M. Huang, Gail C. Murphy, and Thomas Zimmermann. 2014. Persuasive Technology in the Real World: A Study of LongTerm Use of Activity Sensing Devices for Fitness. Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI '14: 487--496.

Digital Library

[7]

David G. Glance, Esther Ooi, Ye'elah Berman, Charlotte F. Glance, and Hugh R. Barrett. 2016. Impact of a Digital Activity Tracker-Based Workplace Activity Program on Health and Wellbeing. Proceedings of the 6th International Conference on Digital Health Conference - DH '16: 37--41.

Digital Library

[8]

Daniel Harrison, Paul Marshall, Nadia BianchiBerthouze, and Jon Bird. 2015. Activity tracking. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '15: 617--621.

Digital Library

[9]

Brianna Jean Huxtable, Carlo Ka-Ho Lai, Johnson Wen Jun Zhu, et al. 2014. Ziklo: Bicycle Navigation Through Tactile Feedback. CHI '14 Extended Abstracts on Human Factors in Computing Systems: 177--178.

[10]

Yamini Karanam, Leslie Filko, Lindsay Kaser, Hanan Alotaibi, Elham Makhsoom, and Stephen Voida. 2014. Motivational Affordances and Personality Types in Personal Informatics. Ubicomp'14: 79--82.

Digital Library

[11]

Ashraf Khalil and Salam Abdallah. 2013. Harnessing social dynamics through persuasive technology to promote healthier lifestyle. Computers in Human Behavior 29, 6: 2674-- 2681.

Digital Library

[12]

Julie A Kientz, Sajanee Halko, and Julie A Kientz. 2016. Personality and Persuasive Technology?: An Exploratory Study on HealthPromoting Mobile Applications Personality and Persuasive Technology?: An Exploratory Study on Health-Promoting Mobile Applications. March: 150--161.

[13]

Da-jung Kim, Yeoreum Lee, Saeyoung Rho, and Youn-kyung Lim. 2016. Design Opportunities in Three Stages of Relationship Development between Users and Self-Tracking Devices. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI '16: 699--703.

[14]

Yoshihisa Kon, Yuto Omae, Kazuki Sakai, et al. 2015. Toward classification of swimming style by using underwater wireless accelerometer data. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15: 85--88.

Digital Library

[15]

Amanda Lazar, Christian Koehler, Joshua Tanenbaum, and David H. Nguyen. 2015. Why we use and abandon smart devices. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing UbiComp '15: 635--646.

Digital Library

[16]

Dan Ledger. 2014. Inside Wearables - Part 2. June: 1--20.

[17]

Victor R. Lee and Joel Drake. 2013. Quantified Recess: Design of an Activity for Elementary Students Involving Analyses of Their Own Movement Data. Proceedings of the 12th International Conference on Interaction Design and Children 2013: 273--276.

Digital Library

[18]

James J Lin, Lena Mamykina, Silvia Lindtner, Gregory Delajoux, and Henry B Strub. 2006. Fish-n-Steps: Encouraging Physical Activity with an Interactive Computer Game. UbiComp 2006: Ubiquitous Computing: 261--278.

[19]

Juho Rantakari, Virve Inget, Ashley Colley, and Jonna Häkkilä. Charting Design Preferences on Wellness Wearables. Proceedings of the 7th Augmented Human International Conference 2016: 1--4.

Digital Library

[20]

Jakob Tholander and Stina Nylander. 2015. Snot, Sweat, Pain, Mud, and Snow: Performance and Experience in the Use of Sports Watches. Proceedings of the ACM CHI'15 Conference on Human Factors in Computing Systems 1: 2913--2922.

Digital Library

[21]

G Walsh and J Golbeck. 2014. StepCity: A preliminary investigation of a personal informatics-based social game on behavior change. Conference on Human Factors in Computing Systems - Proceedings: 2371--2376.

Digital Library

[22]

Xinyu Wei, Patrick Lucey, Stuart Morgan, Peter Carr, and Machar Reid. 2015. Predicting Serves in Tennis using Style Priors. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: 2207-- 2215.

Digital Library

Cited By

Pourbemany JZhu YBettati R(2023)A Survey of Wearable Devices Pairing Based on Biometric SignalsIEEE Access10.1109/ACCESS.2023.325449911(26070-26085)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3254499
Havlucu HAkgun BEskenazi TCoskun AOzcan O(2022)Toward Detecting the Zone of Elite Tennis Players Through Wearable TechnologyFrontiers in Sports and Active Living10.3389/fspor.2022.9396414Online publication date: 17-Jun-2022
https://doi.org/10.3389/fspor.2022.939641
Yılmazer HMueller FCoşkun A(2022)Designing for Bouldering: Supporting Kinesthetic Learning of Action Sport EnthusiastsCompanion Publication of the 2022 ACM Designing Interactive Systems Conference10.1145/3532107.3532884(48-51)Online publication date: 13-Jun-2022
https://dl.acm.org/doi/10.1145/3532107.3532884
Show More Cited By

Index Terms

Understanding the Lonesome Tennis Players: Insights for Future Wearables
1. Human-centered computing

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cover image ACM Conferences

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

May 2017

3954 pages

ISBN:9781450346566

DOI:10.1145/3027063

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
,
Program Chairs:
Cliff Lampe
University of Michigan
,
m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
,
Caroline Appert
Université Paris-Sud
,
Daniel Wigdor
University of Toronto

Copyright © 2017 Owner/Author.

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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 May 2017

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CHI '17

Sponsor:

SIGCHI

CHI '17: CHI Conference on Human Factors in Computing Systems

May 6 - 11, 2017

Colorado, Denver, USA

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CHI EA '17 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;

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

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

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Citations

Cited By

Pourbemany JZhu YBettati R(2023)A Survey of Wearable Devices Pairing Based on Biometric SignalsIEEE Access10.1109/ACCESS.2023.325449911(26070-26085)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3254499
Havlucu HAkgun BEskenazi TCoskun AOzcan O(2022)Toward Detecting the Zone of Elite Tennis Players Through Wearable TechnologyFrontiers in Sports and Active Living10.3389/fspor.2022.9396414Online publication date: 17-Jun-2022
https://doi.org/10.3389/fspor.2022.939641
Yılmazer HMueller FCoşkun A(2022)Designing for Bouldering: Supporting Kinesthetic Learning of Action Sport EnthusiastsCompanion Publication of the 2022 ACM Designing Interactive Systems Conference10.1145/3532107.3532884(48-51)Online publication date: 13-Jun-2022
https://dl.acm.org/doi/10.1145/3532107.3532884
Dhoot SSaxena KRana A(2022)Application of IoT in Wearable TechnologyIoT Based Smart Applications10.1007/978-3-031-04524-0_11(179-197)Online publication date: 1-Oct-2022
https://doi.org/10.1007/978-3-031-04524-0_11
Havlucu HCoşkun AÖzcan O(2021)Tactowel: A Subtle Sports Performance Display for Giving Real-Time Performance Feedback in TennisSensors10.3390/s2113459421:13(4594)Online publication date: 5-Jul-2021
https://doi.org/10.3390/s21134594
John Dian FVahidnia RRahmati A(2020)Wearables and the Internet of Things (IoT), Applications, Opportunities, and Challenges: A SurveyIEEE Access10.1109/ACCESS.2020.29863298(69200-69211)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2986329
Saisho OTsukada SNakashima HImamura HTakaori KFarrahi KHarle RLane N(2019)Enhancing support for optimal muscle usage in sportsProceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341163.3347722(206-210)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3341163.3347722
Havlucu HCoşkun AÖzcan OKuznetsov SSaakes DWakkary RGeurts LHayes LLau M(2019)Specifying Relevant Textural Properties for Unobtrusive Feedback on Sports PerformanceProceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3294109.3300974(165-171)Online publication date: 17-Mar-2019
https://dl.acm.org/doi/10.1145/3294109.3300974
Havlucu HCoşkun AÖzcan OBrewster SFitzpatrick GCox AKostakos V(2019)Designing the Next Generation of Activity Trackers for Performance SportsExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3312945(1-7)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290607.3312945
Mencarini ERapp ATirabeni LZancanaro M(2019)Designing Wearable Systems for Sports: A Review of Trends and Opportunities in Human–Computer InteractionIEEE Transactions on Human-Machine Systems10.1109/THMS.2019.291970249:4(314-325)Online publication date: Aug-2019
https://doi.org/10.1109/THMS.2019.2919702
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