Integrative Gaming: A Framework for Sustainable Game-Based Diabetes Management

Obesity and diabetes have reached epidemic proportions in both developing and developed nations. While doctors and caregivers stress the importance of physical exercise in maintaining a healthy lifestyle, many people have difficulty subscribing to a healthy lifestyle. Virtual reality games offer a potentially exciting aid in accelerating and sustaining behavior change. However, care needs to be taken to develop sustainable models of employing games for the management of diabetes and obesity. In this article, we propose an integrative gaming paradigm designed to combine multiple activities involving physical exercises and cognitive skills through a game-based storyline. The persuasive story acts as a motivational binder that enables a user to perform multiple activities such as running, cycling, and problem solving. These activities guide a virtual character through different stages of the game. While performing the activities in the games, users wear sensors that can measure movement (accelerometers, gyrometers, magnetometers) and sense physiological measures (heart rate, pulse oximeter oxygen saturation). These measures drive the game and are stored and analyzed on a cloud computing platform. A prototype integrative gaming system is described and design considerations are discussed. The system is highly configurable and allows researchers to build games for the system with ease and drive the games with different types of activities. The capabilities of the system allow for engaging and motivating the user in the long term. Clinicians can employ the system to collect clinically relevant data in a seamless manner.

[1]  N. Uth,et al.  Estimation of V̇O2max from the ratio between HRmax and HRrest – the Heart Rate Ratio Method , 2004, European Journal of Applied Physiology.

[2]  L. Goodyear,et al.  Exercise, glucose transport, and insulin sensitivity. , 1998, Annual review of medicine.

[3]  Carl W. Cotman,et al.  Exercise Enhances and Protects Brain Function , 2002, Exercise and sport sciences reviews.

[4]  W. Cefalu,et al.  Glycemic control and cardiovascular disease--should we reassess clinical goals? , 2005, The New England journal of medicine.

[5]  Jeana Frost,et al.  Integrating glucometers and digital photography as experience capture tools to enhance patient understanding and communication of diabetes self-management practices , 2007, Personal and Ubiquitous Computing.

[6]  M. Lezak,et al.  Neuropsychological assessment, 4th ed. , 2004 .

[7]  F. Chiarelli,et al.  Modern management of childhood diabetes: A role for computerized devices? , 1998, Acta paediatrica Japonica : Overseas edition.

[8]  Rodrigo de Oliveira,et al.  TripleBeat: enhancing exercise performance with persuasion , 2008, Mobile HCI.

[9]  D. Lieberman,et al.  Educational video game for juvenile diabetes: results of a controlled trial. , 1997, Medical informatics = Medecine et informatique.

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

[11]  James A. Landay,et al.  Design requirements for technologies that encourage physical activity , 2006, CHI.

[12]  Lee Humphreys,et al.  It's Time to Eat! Using Mobile Games to Promote Healthy Eating , 2010, IEEE Pervasive Computing.

[13]  Richard Harper,et al.  Celebratory technology: new directions for food research in HCI , 2008, CHI.

[14]  Sébastien Ratel,et al.  Achievement of peak VO2 during a 90-s maximal intensity cycle sprint in adolescents. , 2005, Canadian journal of applied physiology = Revue canadienne de physiologie appliquee.

[15]  B Barry Games and activities to teach children about diabetes and nutrition. , 1995, The Diabetes educator.

[16]  Kenji Hira,et al.  Edutainment Tools for Initial Education of Type-1 Diabetes Mellitus: Initial Diabetes Education with Fun , 2004, MedInfo.

[17]  Dennis W Koch,et al.  Leg blood flow and VO2 during peak cycle exercise in younger and older women. , 2004, Medicine and science in sports and exercise.

[18]  Yunan Chen,et al.  Take it personally: accounting for individual difference in designing diabetes management systems , 2010, Conference on Designing Interactive Systems.

[19]  N. Armstrong,et al.  Is Peak VO2 a Maximal Index of Children's Aerobic Fitness? , 1996, International journal of sports medicine.

[20]  R W Corbett,et al.  Nutriquest: A Fun Way to Reinforce Nutrition Knowledge , 1992, Nurse educator.

[21]  Martin R. Gibbs,et al.  A framework for exertion interactions over a distance , 2009, Sandbox@SIGGRAPH.

[22]  D. Southard,et al.  Promoting physical activity in children with MetaKenkoh. , 2006, Clinical and investigative medicine. Medecine clinique et experimentale.

[23]  Henriette Pilegaard,et al.  Evidence for a release of brain‐derived neurotrophic factor from the brain during exercise , 2009, Experimental physiology.

[24]  Sari A Acra,et al.  Predicting energy expenditure of physical activity using hip- and wrist-worn accelerometers. , 2003, Diabetes technology & therapeutics.

[25]  Patrizia Fava,et al.  Automated evaluation of food colour by means of multivariate image analysis coupled to a wavelet-based classification algorithm , 2004 .