Chatbots and robots: a framework for the self-management of occupational stress

ROBOMECH Journal

Research Article

Akihiro Yorita¹  Simon Egerton¹  Carina Chan²  Naoyuki Kubota³ 

[1] Department of Computer Science and Information Technology, La Trobe University, Melbourne, Australia;Department of Psychology, Counselling and Therapy, La Trobe University, Melbourne, Australia;Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan;

关键词: Artificial intelligence;    Peer support;    Fuzzy inference;    Sense of coherence;    Chatbot;   

DOI  :  10.1186/s40648-023-00261-z

 received in 2023-02-11, accepted in 2023-09-05,  发布年份 2023

来源: Springer

【 摘 要 】

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 were examined using a questionnaire supported by Technology Acceptance Model, which showed that the chatbot could recognize the user's SOC, but left a challenge: few users wanted to continue using it in their daily lives.

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

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