A Robot Assisted Stress Management Framework: Using Conversation to Measure Occupational Stress

Abstract

In this paper we build a stress management framework that aims to help professionals in the health care sector manage their occupational stress. Our system employs chatbots and robots to conduct conversation with individuals in order to derive a measure of stress using a Sense of Coherence model. The outputs of this model then drive a Peer Support model which selects and administers an intervention with the aim of reducing measured stress. Our results show that the conversation model and Sense of Coherence model that we develop are capable of measuring stress and can be used by the peer support model to successfully select appropriate support actions.

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