There is a growing number of eHealth interventions aiming at enhancing lifestyle to address obesity. However, the existing interventions do not take the emotional aspects of obesity into account. Forty percent of the overweight population is an emotional eater. Emotional eaters gain weight because of …

The prediction of the running injuries based on selfreported training data on load is difficult. At present, coaches and researchers have no validated system to predict if a runner has an increased risk of injuries. We aim to develop an algorithm to predict the increase of the risk of a runner to sustain …

Automated Analysis of Human Performance Data could help to understand and possibly predict the performance of the human. To inform future research and enable Automated Analysis of Human Performance Data a systematic mapping study (scoping study) on the state-of-the-art knowledge is performed on three …

This report provides analysis, evaluation and recommendation of implementing WhatsApp as a customer service channel at Eurail.com. Methods of analysis and gathering data include extensive desk research, interviews and surveys. Results of the analyzed data show different perspectives and outcomes which …

Through the commodification of nature, the framing of the environment as a ‘natural resource’ or ‘ecosystem service’ has become increasingly prominent in international environmental governance. The economic capture approach is promoted by international organizations such as the United Nations Environmental …

Keywords–virtual coach; personalization; coaching strategy; data science; model based software development.

Inaugural Vision Professorship International Business

Obesity is a fast-growing societal threat, causing chronic conditions, physical and psychological health problems, as well as sickness absence and heavy healthcare costs. Despite numerous attempts to promote physical activity and healthy diet, existing interventions do not focus on the common emotional …