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arXiv 2311.03385cs.HCcs.AI
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面向电子教练(e-Coaching)的智能压力评估

Intelligent Stress Assessment for e-Coaching

University of Calgary(卡尔加里大学)

Kenneth Lai, Svetlana Yanushkevich, Vlad Shmerko

AI总结:

该研究面向紧急与灾害场景下的电子教练适配需求,开发基于机器学习的压力监测智能辅助工具,以检测压力等情感状态并辅助缓解,同时给出了对应实验研究结果。

摘要:

本文探讨在紧急事件与灾害场景下适配电子教练理念的方案,通过用于监测人类情感状态的智能工具为电子教练提供辅助。焦虑、恐慌、回避、压力等状态若能被准确检测,便可借助电子教练的策略与方法得到缓解。本研究聚焦于一款基于机器学习技术开发的压力监测辅助工具,并给出了采用所提方法开展的实验研究结果。

英文摘要:

This paper considers the adaptation of the e-coaching concept at times of emergencies and disasters, through aiding the e-coaching with intelligent tools for monitoring humans' affective state. The states 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 tool developed on machine learning techniques. We provide the results of an experimental study using the proposed method.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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