Auflistung nach Autor:in "Eggenschwiler, Stefan"
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- PublikationA personalised, goal-driven, and explainable chatbot for nutritional coaching based on a multi-agent system(Hochschule für Wirtschaft FHNW, 2021) Eggenschwiler, Stefan; Martin, AndreasObesity and related sicknesses (e.g. type 2 diabetes) are global, ever-growing public health problems (Chooi, Ding and Magkos, 2019). In 2020, in particular, obesity had gained further significance since people who suffer from it have a higher likelihood of a severe disease progression after contracting SARS-CoV-2 (Zhou, Chi, Lv and Wang,n.d.). Nowadays, there are a lot of possible practices and tools to address obesity. Due to the proliferation of smartphones and other mobile devices and the wide availability of mobile internet access, many of these tools are now available in the form of smart phone apps or internet platforms. This thesis aims to develop a conversational program (so-called chatbot) that acts as a personalised nutrition coach. It offers its users the possibility to track their daily meals and snacks with an image recognition AI and keep track of their weight. This data is then made available to the user in the form of statistical analysis. Additional features include viewing healthy meal suggestions for all main meals and snacks and setting a goal (maintain or reduce weight), which affects the user’s daily calorie consumption calculated by the chatbot. This approach aims to raise awareness of the user’s daily food consumption. Which in turn should lead to a change in eating behaviour, so-called"mindful eating", which has been proven to lead to healthier eating behaviour according to studies by Jordan, Wang, Donatoni and Meier (2014) and Pintado-Cucarella andRodríguez-Salgado (2016).11 - Studentische Arbeit
- PublikationAn experiment with an optimization game(2019) Pustulka, Elzbieta; Hanne, Thomas; Adriaensen, Benjamin; Eggenschwiler, Stefan; Kaba, Egemen; Wetzel, Richard; Blashki, Katherine; Xiao, Yingcai [in: IADIS International Conference Interfaces and Human Computer Interaction 2019 (part of MCCSIS 2019)]We aim to improve the teaching of the principles of optimization, including computational intelligence (CI), to a mixed audience of business and computer science students. Our students do not always have sufficient programming or mathematics experience and may be put off by the expected difficulty of the course. In this context we are testing the potential of games in teaching. We deployed a game prototype (design probe) and found out that the prototype led to increased student motivation, intuitive understanding of the principles of optimization, and strong interaction in a team. Ultimately, with the future work we sketch out, this novel approach could improve the learning and understanding of optimization algorithms and CI in general, contributing to the future of Explainable AI (XAI).04B - Beitrag Konferenzschrift
- PublikationComparison of swarm and graph algorithms for solving travelling salesman problems(2020) Eggenschwiler, Stefan; Spahic, Maja; Hanne, Thomas; Dornberger, Rolf [in: 2020 7th Intl. Conference on Soft Computing Machine Intelligence (ISCMI 2020). November 14-15, 2020, Stockholm, Sweden]04B - Beitrag Konferenzschrift