A Pleasurable Persuasive Model for E-Fitness System

The regular physical activity with enough amounts of intensity, duration and frequency plays a key role in our health and body shape. However, for sedentary individuals who have negative or even painful feeling on exercise, it is a challenge to maintain enough activities. We propose a pleasurable persuasive model (PPM) to tackle the challenge. PPM emphasizes the combination of psychological driven and physiological adaptation, encouraging health behavior change in an aesthetical pleasurable way. Coming with a complete set of design strategies including pleasure, guidance, motivation, and reminder, a prototype system is developed to experiment the effectiveness and feasibility of the approach. The real time biofeedback and aesthetical pleasure is integrated seamlessly into this system. Results from a three-week in-lab user study have demonstrated that, the system is able to encourage regular physical activities with enough amounts of intensity, duration and frequency in a pleasurable way, proving the effectiveness of PPM.

[1]  E. A. Locke,et al.  Building a practically useful theory of goal setting and task motivation. A 35-year odyssey. , 2002, The American psychologist.

[2]  Mladenka Tkalcic,et al.  Transtheoretical model of behavior change , 2011 .

[3]  Serap Palaz,et al.  Factors Influencing the Motivation of Turkey's Community Volunteers , 2007 .

[4]  Simone R. Caljouw,et al.  Exergaming for Elderly: Effects of Different Types of Game Feedback on Performance of a Balance Task , 2012, Annual Review of Cybertherapy and Telemedicine.

[5]  C. Foster,et al.  A New Approach to Monitoring Exercise Training , 2001, Journal of strength and conditioning research.

[6]  T. C. Nicholas Graham,et al.  Using games to increase exercise motivation , 2007, Future Play.

[7]  B. J. Fogg,et al.  Persuasive technology: using computers to change what we think and do , 2002, UBIQ.

[8]  A. Bauman,et al.  Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. , 2007, Circulation.

[9]  B. J. Fogg,et al.  A behavior model for persuasive design , 2009, Persuasive '09.

[10]  Andrew T. Campbell,et al.  BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing , 2014, Mobile Networks and Applications.

[11]  Mor Naaman,et al.  Playable data: characterizing the design space of game-y infographics , 2011, CHI.

[12]  I-Min Lee,et al.  Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. , 2007, Medicine and science in sports and exercise.

[13]  David W. McDonald,et al.  Theory-driven design strategies for technologies that support behavior change in everyday life , 2009, CHI.

[14]  David H. Barlow,et al.  Abnormal Psychology: An Integrative Approach , 1994 .

[15]  Brian Caulfield,et al.  The effects of visual feedback in therapeutic exergaming on motor task accuracy , 2011, 2011 International Conference on Virtual Rehabilitation.

[16]  Regan L. Mandryk,et al.  Biofeedback game design: using direct and indirect physiological control to enhance game interaction , 2011, CHI.

[17]  Deborah I Thompson,et al.  Playing for real: video games and stories for health-related behavior change. , 2008, American journal of preventive medicine.

[18]  Inseok Hwang,et al.  ExerLink: enabling pervasive social exergames with heterogeneous exercise devices , 2012, MobiSys '12.

[19]  Judy Robertson,et al.  Understanding exergame users' physical activity, motivation and behavior over time , 2013, CHI.

[20]  Mark D. Dunlop,et al.  Walk2Build: a GPS game for mobile exergaming with city visualization , 2012, Mobile HCI.

[21]  Yong Liu,et al.  Virtual Network Marathon with immersion, scientificalness, competitiveness, adaptability and learning , 2012, Comput. Graph..

[22]  Luca Chittaro,et al.  Adaptation of Graphics and Gameplay in Fitness Games by Exploiting Motion and Physiological Sensors , 2007, Smart Graphics.

[23]  C. Craig,et al.  Physical activity of Canadian adults: accelerometer results from the 2007 to 2009 Canadian Health Measures Survey. , 2011, Health reports.

[24]  David W. McDonald,et al.  Goal-setting considerations for persuasive technologies that encourage physical activity , 2009, Persuasive '09.

[25]  A. Whitehead,et al.  Exergame effectiveness: what the numbers can tell us , 2010, Sandbox '10.

[26]  Nilufar Baghaei,et al.  Physical activity motivating games: virtual rewards for real activity , 2010, CHI.