Predictive Tool to Overcome Negative Thinking of Employees with Anxiety

Kalana Gayantha Ananda, Gayashini Shyanka Ratnayake
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Abstract

Among significant portion of the population, anxiety disorder can be considered as the most prominent psychological condition. Anxiety may limit many people's activities and make it difficult for them to enjoy their lives. An increase in negative thoughts would raise people's fear and worry, which potentially leading to anxiety disorder. The number of remote workers has risen as a result of the pandemic situation. A considerable number of employees are faced with anxious thoughts because of the workplace isolation. This was proved by a pilot study done among 102 employees in Sri Lanka. The proposed solution is a mobile application that employees can use to diagnose the anxiety level using machine learning and support to overcome their negative thinking behavior, through cognitive behavioral therapy exercises by allowing them to do self-improvement activities. The visually represented dashboard can monitor the positive thinking improvement of the user.
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克服焦虑员工消极思维的预测工具
在相当一部分人群中,焦虑障碍可以被认为是最突出的心理状况。焦虑可能会限制许多人的活动,使他们难以享受生活。消极想法的增加会增加人们的恐惧和担忧,这可能会导致焦虑症。由于疫情,远程工作人员的数量有所增加。由于工作场所的隔离,相当多的员工面临焦虑的想法。在斯里兰卡对102名员工进行的一项试点研究证明了这一点。提出的解决方案是一个移动应用程序,员工可以使用它来诊断焦虑水平,使用机器学习和支持,通过认知行为治疗练习,允许他们进行自我完善的活动,来克服他们的消极思维行为。可视化的仪表板可以监控用户积极思维的改善。
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