基于确定性因子的情绪智能在独立幸福感管理中的应用

D. Liliana, Iklima Ermis Ismail, Ayu Rosyida Zain, Siti Sarah Balgis
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引用次数: 2

摘要

根据印度尼西亚国家研究总体规划,印度尼西亚目前在公共卫生领域,特别是心理健康领域面临着严峻挑战。特别是在2019冠状病毒病大流行期间,存在许多可能威胁身体和行为健康的情绪障碍问题。在大流行期间,需要保持情绪健康。问题是,在咨询心理学家方面缺乏渠道和限制,使得人们很难理解和认识到自己的情绪,这将对他们的生活和决策产生不利影响。为了克服这一问题,本研究建立了一种基于专家系统的确定性因子(CF)方法来识别情绪。该方法采用了从参考书和心理学专家那里获得的信念价值和知识基础。作为移动应用程序实现,使用户更容易通过智能手机访问它。CF方法能够按照功能需求运行,并产生预期的结果。基于测试结果,采用确定性因子方法的情绪识别专家系统在测试数据上的准确率达到了92.31%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emotion Intelligent Application for Independent Wellbeing Management using Certainty Factor
According to the Indonesian National Research Master Plan, Indonesia is currently facing strong challenges in the field of public health, particularly mental health. Especially during the Covid-19 pandemic where there are many problems with emotional disorders that can threaten physical and behavioral health. Emotion health during a pandemic need to be maintained. The problem is that the lack of access and restrictions in consulting a psychologist makes it difficult for people to understand and recognize their emotions which will adversely affect their life and their decision making. To overcome this problem, in this study an expert system-based Certainty Factor (CF) method was built to recognize emotions. The method used the belief value and knowledge-based acquired from reference books as well as a psychologist expert. Implemented as a mobile application, made it easier for user to access it through their smart phones. The CF method was able to run in accordance with functional requirements and produced expected results. Based on the test results, the expert system to recognize emotions using the Certainty Factor method has worked with an accuracy rate of 92.31% on the test data.
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