Georg Groh
6 Papers
Georg Groh is an academic researcher. The author has contributed to research in topics: Biostatistics & Computer science. The author has an hindex of 2, co-authored 5 publications.
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Papers
Stress-induced hyperphagia: empirical characterization of stress-overeaters
B. Kaiser,Kathrin Gemesi,Sophie Laura Holzmann,Monika Wintergerst,Martin Lurz,Hans Hauner,Georg Groh,Markus Böhm,Helmut Krcmar,Christina Holzapfel,Kurt Gedrich +10 more
TL;DR: In this article , the authors identify further characteristics of adults in Germany related to stress-overeating, focusing on stress perception, coping, eating motives and comfort foods as well as personality types.
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Stress eating: an online survey of eating behaviours, comfort foods, and healthy food substitutes in German adults
Kathrin Gemesi,Sophie Laura Holzmann,B. Kaiser,Monika Wintergerst,Martin Lurz,Georg Groh,Markus Böhm,Helmut Krcmar,Kurt Gedrich,Hans Hauner,Christina Holzapfel +10 more
TL;DR: In this article , the authors conducted an online survey to find out what comfort foods are consumed in Germany and what healthier food products are considered as alternatives to support stress-eaters in making healthier food choices.
Characterization of adults concerning the use of a hypothetical mHealth application addressing stress-overeating: an online survey
Martin Lurz,Kathrin Gemesi,Sophie Laura Holzmann,Birgit Kretzschmar,Monika Wintergerst,Georg Groh,M. Böhm,Kurt Gedrich,Hans Hauner,Helmut Krcmar,Christina Holzapfel +10 more
TL;DR: This study suggests that individuals who are prone to stress-overeating are highly interested in adopting an mHealth app as support and appear to be more insecure with conflicting motives regarding their diet.
PARL: A Dialog System Framework with Prompts as Actions for Reinforcement Learning
Tao Xiang,Yangzhe Li,Monika Wintergerst,Ana Peçini,Dominika Młynarczyk,Georg Groh +5 more
- 01 Jan 2023
TL;DR: PARL, an open-domain dialog system framework using P rompts as a backbone and trains a behavior policy using reinforcement learning to guide the backbone system to respond appropriately with respect to a given conversation, is proposed.