Understanding the Lonesome Tennis Players: Insights for Future Wearables

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.

[1]  Yeoreum Lee,et al.  Design Opportunities in Three Stages of Relationship Development between Users and Self-Tracking Devices , 2016, CHI.

[2]  Noel E. O'Connor,et al.  Multi-sensor classification of tennis strokes , 2011, 2011 IEEE SENSORS Proceedings.

[3]  Stephen Voida,et al.  Motivational affordances and personality types in personal informatics , 2014, UbiComp Adjunct.

[4]  Ashraf Khalil,et al.  Harnessing social dynamics through persuasive technology to promote healthier lifestyle , 2013, Comput. Hum. Behav..

[5]  Nadia Bianchi-Berthouze,et al.  Activity tracking: barriers, workarounds and customisation , 2015, UbiComp.

[6]  Yoshihisa Kon,et al.  Toward classification of swimming style by using underwater wireless accelerometer data , 2015, UbiComp/ISWC Adjunct.

[7]  Victor R. Lee,et al.  Quantified recess: design of an activity for elementary students involving analyses of their own movement data , 2013, IDC.

[8]  Jonna Häkkilä,et al.  Charting Design Preferences on Wellness Wearables , 2016, AH.

[9]  Christian Koehler,et al.  Why we use and abandon smart devices , 2015, UbiComp.

[10]  Sridha Sridharan,et al.  Predicting Serves in Tennis using Style Priors , 2015, KDD.

[11]  Daniel Arthur James,et al.  Towards a wearable device for skill assessment and skill acquisition of a tennis player during the first serve , 2009 .

[12]  I. Olkin,et al.  Using pedometers to increase physical activity and improve health: a systematic review. , 2007, JAMA.

[13]  Jennifer Golbeck,et al.  StepCity: a preliminary investigation of a personal informatics-based social game on behavior change , 2014, CHI Extended Abstracts.

[14]  Stina Nylander,et al.  Snot, Sweat, Pain, Mud, and Snow: Performance and Experience in the Use of Sports Watches , 2015, CHI.

[15]  Thomas Zimmermann,et al.  Persuasive technology in the real world: a study of long-term use of activity sensing devices for fitness , 2014, CHI.

[16]  Carman Neustaedter,et al.  Ziklo: bicycle navigation through tactile feedback , 2014, CHI Extended Abstracts.

[17]  David G. Glance,et al.  Impact of a Digital Activity Tracker-Based Workplace Activity Program on Health and Wellbeing , 2016, Digital Health.

[18]  Silvia Lindtner,et al.  Fish'n'Steps: Encouraging Physical Activity with an Interactive Computer Game , 2006, UbiComp.

[19]  Julie A. Kientz,et al.  Personality and Persuasive Technology: An Exploratory Study on Health-Promoting Mobile Applications , 2010, PERSUASIVE.

[20]  Sean A. Munson,et al.  Beyond Abandonment to Next Steps: Understanding and Designing for Life after Personal Informatics Tool Use , 2016, CHI.

[21]  Susanne Boll,et al.  User requirements for digital jewellery , 2015, BCS HCI.