基于人工智能技术的大学生心理健康服务系统设计研究

Qiuyue Wang, Chao Gong
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引用次数: 0

摘要

针对传统高校心理健康服务体系在评估准确性、数据准确性和服务及时性等方面存在的问题,本文结合问卷调查、用户访谈和层次分析法(AHP),确定大学生用户群体的需求指标,提出适应智能化、个性化、便捷性、隐私保护和趣味性需求的设计策略。同时,将服务体系蓝图应用于心理健康长期监测预测机制模型。建立以产品、人工智能云平台、学生用户和心理机构为核心的大学生心理健康服务体系设计框架,为大学生心理健康服务体系提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on College Students’ Psychological Health Service System Design Based on Artificial Intelligence Techonology
Considering problems with the traditional college psychological health service system in terms of assessment accuracy, data accuracy and service punctuality, this paper combines questionnaire, user interview and analytical hierarchy process (AHP) to identify demand indexes of college students’ user groups, and propose design strategies that accommodate to needs of intelligentization, individualization, convenience, privacy protection and fun. Meanwhile, the service system blueprint is applied for the long-term psychological health monitoring and prediction mechanism model. College students’ psychological health service system design framework with products, artificial intelligence cloud platform, student users and psychological institutions at the core is established to provide references for college students’ psychological health service system.
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