This paper considers e-coaching at times of pandemic. It utilizes the Emergency Management Cycle (EMC), a core doctrine for managing disasters. The EMC dimensions provide a useful taxonomical view for the development and application of e-coaching systems, emphasizing technological and societal issues. Typical pandemic symptoms such as anxiety, panic, avoidance, and stress, if properly detected, can be mitigated using the e-coaching tactic and strategy. In this work, we focus on a stress monitoring assistant developed upon machine learning techniques. We provide the results of an experimental study of a prototype of such an assistant. Our study leads to the conclusion that stress monitoring shall become a valuable component of e-coaching at all EMC phases.
Cite
@article{arxiv.2105.11437,
title = {Counter-Epidemiological Projections of e-Coaching},
author = {Kenneth Lai and Svetlana Yanushkevich and Vlad Shmerko},
journal= {arXiv preprint arXiv:2105.11437},
year = {2021}
}