Kids just wanna have fun: Children's experiences of a weight management programme

Objectives: To explore children's accounts of their experiences of the UK‘s largest childhood obesity programme, MEND (Mind, Exercise, Nutrition…Do it!) (See www.mendprogramme.org). Design: Semi-structured interviews were conducted with children who had completed the MEND obesity programme. Interviews were transcribed verbatim and analysed using Interpretative Phenomenological Analysis (IPA). Method Fourteen children spanning diverse areas of London comprised this study (eight male, six female), aged between 11 and 14 years and in secondary school. Participants were interviewed a year after completing one of the London-based MEND obesity programmes. Results: This article focuses on the most common and striking theme to emerge from the original dataset (The complete analysis may be found in L. Watson, Unpublished doctoral thesis): Fun. Subthemes were: ‘going with the flow’; active participation in activities that led to new experiences (‘actually doing it’ – seeing the fun side); the importance of others in the experience of fun (‘you do games in unity’ – ‘it's not as fun on your own’). Conclusion: Children have fun when engaged in interactive and varied activities with opportunity for individual feedback and improvement. When designing childhood obesity programmes, conditions that optimise children's experience of fun should be emphasised over didactic and risk-heavy information pertaining to childhood obesity.

MUSA: A Scalable Multi-Touch and Multi-Perspective Variability Management Tool

Variability management is one of the main activities in the Software Product Line Engineering process. Common and varied features of related products are modelled along with the dependencies and relationships among them. With the increase in size and complexity of product lines and the more holistic systems approach to the design process, managing the ever- growing variability models has become a challenge. In this paper, we present MUSA, a tool for managing variability and features in large-scale models. MUSA adopts the Separation of Concerns design principle by providing multiple perspectives to the model, each conveying different set of information. The demonstration is conducted using a real-life model (comprising of 1000+ features) particularly showing the Structural View, which is displayed using a mind-mapping visualisation technique (hyperbolic trees), and the Dependency View, which is displayed graphically using logic gates.