Study title

Dataset and associated material from an intervention study to test whether online video resources integrated into an action plan will result in greater engagement resources than when the resources are not part of a plan. Data were collected in partnership with a wellbeing company specialising in the provision of online wellbeing resources. The data collected were quantitative data about participants’ engagement with the wellbeing resources, including demographic and self-reported variables (N = 67), qualitative text data about participants' perceived barriers to the intervention implementation (N = 67) and anonymised transcripts of qualitative follow up interviews with study participants (N = 10).Proper nutrition and healthy diets are a key aspect of health, which mandatory food labelling in the UK tries to address by empowering people with the information to help them make healthier choices. The format of this information (e.g., verbal quantifiers like 'low fat' or numerical quantifiers like '5% fat') affects whether people can easily understand and use food labels. Examining how people's judgements and decisions with respect to food differ depending on food label format therefore has wide-reaching impact for health policy decisions, consumer behaviour, and food industry practice. This project will use computational methods to identify different strategies people use to decide what foods are healthiest (e.g., less fat, or less sugar, etc.) I will evaluate which strategies produce the healthiest choices, use these insights to inform policy and conduct knowledge exchange with my industry partner. The project will consolidate my PhD, which investigated differences in people's decision-making strategies when using verbal and numerical quantifiers on food labels. Using a mixture of behavioural tasks, surveys, and eye-tracking methodology, I identified that different ways of presenting quantities can lead to people relying on different pieces of information to judge...