Chatbots and Robots: A framework for the self-management of occupational stress

Chatbots and Robots: A framework for the self-management of occupational stress | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Chatbots and Robots: A framework for the self-management of occupational stress Akihiro Yorita, Simon Egerton, Carina Chan, Rebecca Flower, Naoyuki Kubota This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2549648/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 27 Oct, 2023 Read the published version in ROBOMECH Journal → Version 1 posted 3 You are reading this latest preprint version Abstract We have developed a stress management framework aimed at helping healthcare professionals manage occupational stress. A chatbot is used to gather pertinent information from a user through regular conversation which is processed via a fuzzy inference model to derive their level of occupational Comprehensibility, Manageability, Meaningful and overall occupational Sense of Coherence (SOC). This analysis feeds into a Peer Support model which selects the best intervention aimed at enhancing a user’s stress-coping abilities and reducing their levels of occupational stress. A trial has been conducted with working adults, and the results demonstrate that the approach is able to measure user stress and provide accurate analysis and relevant peer support. Artificial Intelligence Peer support Fuzzy inference Sense of Coherence Chatbot Full Text Cite Share Download PDF Status: Published Journal Publication published 27 Oct, 2023 Read the published version in ROBOMECH Journal → Version 1 posted Reviewers agreed at journal 20 Feb, 2023 Editor assigned by journal 13 Feb, 2023 First submitted to journal 10 Feb, 2023 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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