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Approximately one-third of children in the USA are either overweight or obese. Understanding the perceptions of children is an important factor in reversing this trend.
An online survey was conducted with children to capture their perceptions of weight, overweight, nutrition, physical activity and related socio-behavioural factors.
Within the USA.
US children (n 1224) aged 8–18 years.
Twenty-seven per cent of children reported being overweight; 47·1 % of children overestimated the rate of overweight/obesity among US children. A higher percentage of self-classified overweight children (81·9 %) worried about weight than did self-classified under/normal weight children (31·1 %). Most children (91·1 %) felt that it was important to not be overweight, for both health-related and social-related reasons. The majority of children believed that if someone their age is overweight they will likely be overweight in adulthood (93·1 %); get an illness such as diabetes or heart disease in adulthood (90·2 %); not be able to play sports well (84·5 %); and be teased or made fun of in school (87·8 %). Children focused more on food/drink than physical activity as reasons for overweight at their age. Self-classified overweight children were more likely to have spoken with someone about their weight over the last year than self-classified under/normal weight children.
Children demonstrated good understanding of issues regarding weight, overweight, nutrition, physical activity and related socio-behavioural factors. Their perceptions are important and can be helpful in crafting solutions that will resonate with children.
The development of large-scale dialog systems requires a flexible architecture model and adequate software support to cope with the challenge of system integration. This contributionOur current work in the context of the SmartKom project has been funded by the German Federal Ministry for Education and Research (BMBF) under grant 01 IL 905 K7. presents a general framework for building integrated natural-language and multimodal dialog systems. Our approach relies on a distributed component model that enables flexible re-use and extension of existing software modules and is able to deal with a heterogeneous software environment. A practical result of our research is the development of a sophisticated integration platform, called MULTIPLATFORM, which is based on the proposed framework. This MULTIPLATFORM testbed has been used in various large and mid-size research projects to develop integrated system prototypes.