Development and Application of an Emotion Analysis Agent — A Prototype Study on Multi-Group Emotional State Assessment and Guidance

Main Article Content

Xiaoke Sun
School of Public Affairs, Public Administration, Xiamen University, Xiamen 361005, China

Mingfei Zhao
Faculty of Science and Technology, Computer Science Technology, Beijing Normal University-Hong Kong Baptist University International College, Zhuhai 519000, China

Wanming Feng
XJTU-POLIMI Joint School, Xi'an Jiaotong University, Xi'an 710115, China

Dejia Long
School of Information Science and Engineering, Artificial Intelligence and Robots, East China University of Science and Technology, Shanghai 201424, China

Fangqi Xu
School of Economics, Finance, Hangzhou Dianzi University Information Engineering College, Hangzhou 311300, China

Jiacan Ma
School of Business English, Business English (Chinese-foreign Cooperation in Running Schools), Sichuan International Studies University, Chongqing 400031, China

Ruoxi Liu
School of Management, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China

Shangyuan Ma
School of International Business, International Business (Chinese-foreign Cooperative Education Program), Southwestern University of Finance and Economics, Chengdu 611130, China

DOI: https://doi.org/10.70267/ijassr.260301.111122

Keywords

emotion analysis agent, multi-group assessment, emotional state evaluation, questionnaire development, age differences, AI application

Abstract

In the digital age, public emotional health has become a prominent concern, with significant differences across population groups, highlighting the need for scientifically grounded and adaptable intelligent support tools. This study developed an emotion analysis agent capable of assessing emotional states across multiple groups and providing preliminary guidance recommendations. Through systematic literature review integrating emotional psychology and affective computing, we proposed a theoretical framework for multi-group emotional state assessment and guidance. Based on this framework, we designed a questionnaire combining self-developed items on emotional factors with standardized clinical scales (GAD-7, BDI-II) and surveyed 79 respondents spanning adolescents, adults, and the elderly. Data analysis revealed two main findings: emotional resources increased with age, with older adults scoring highest across all dimensions; and although average scores fell within normal ranges, over half of respondents reported intermittent mild anxiety, indicating widespread subclinical distress. Guided by the framework and data, we implemented a rule-based agent prototype, demonstrating the technical feasibility of an assessment-guidance closed loop. This study bridges psychological theory and computational modeling, demonstrates a replicable undergraduate-level research path, and provides a prototype foundation for developing accessible, age-sensitive digital mental health tools.

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Published
Mar 18, 2026
Issue
Vol. 3 No. 1 (2026)
Section
Research Articles
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How to Cite

Sun, X., Zhao, M., Feng, W., Long, D., Xu, F., Ma, J., Liu, R., & Ma, S. (2026). Development and Application of an Emotion Analysis Agent — A Prototype Study on Multi-Group Emotional State Assessment and Guidance. International Journal of Asian Social Science Research , 3(1), 111-122. https://doi.org/10.70267/ijassr.260301.111122