Health Informatics J - Supporting self-management of obesity using a novel game architecture.

Tópicos

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Resumo

Obesity has commonly been addressed using a 'one size fits all' approach centred on a combination of diet and exercise. This has not succeeded in halting the obesity epidemic, as two-thirds of American adults are now obese or overweight. Practitioners are increasingly highlighting that one's weight is shaped by myriad factors, suggesting that interventions should be tailored to the specific needs of individuals. Health games have potential to provide such tailored approach. However, they currently tend to focus on communicating and/or reinforcing knowledge, in order to suscitate learning in the participants. We argue that it would be equally, if not more valuable, that games learn from participants using recommender systems. This would allow treatments to be comprehensive, as games can deduce from the participants' behaviour which factors seem to be most relevant to his or her weight and focus on them. We introduce a novel game architecture and discuss its implications on facilitating the self-management of obesity.

Resumo Limpo

obes common address use one size fit approach centr combin diet exercis succeed halt obes epidem twothird american adult now obes overweight practition increas highlight one weight shape myriad factor suggest intervent tailor specif need individu health game potenti provid tailor approach howev current tend focus communic andor reinforc knowledg order suscit learn particip argu equal valuabl game learn particip use recommend system allow treatment comprehens game can deduc particip behaviour factor seem relev weight focus introduc novel game architectur discuss implic facilit selfmanag obes

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