基于娱乐游戏体验的沉浸式人工智能技术在大学生心理健康测试模拟中的应用

IF 2.8 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Entertainment Computing Pub Date : 2024-07-20 DOI:10.1016/j.entcom.2024.100839
Lu Chen
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引用次数: 0

摘要

当前,大学生心理健康问题日益突出,但现有的心理健康检测方法存在一定的局限性。因此,本文将娱乐游戏体验与人工智能技术相结合,可以提供更全面、更准确的心理健康检测方案。研究设计了一个沉浸式娱乐游戏体验平台,在该平台中使用了人工智能技术来检测心理健康。该平台基于情绪识别算法和人工智能交互技术,通过分析用户在游戏中的行为和情绪表达来评估用户的心理健康水平。结果表明,基于娱乐和游戏体验的沉浸式人工智能技术能有效模拟大学生的心理健康状态。与传统的心理健康测评方法相比,该技术在准确性和全面性方面具有明显优势。用户对这种娱乐性心理健康检测方法的接受度和参与度也很高。该技术既能为学生提供更加轻松有趣的心理健康测评体验,又能提供准确全面的测评结果,为大学生心理健康管理和干预提供科学有效的指导。
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Immersive artificial intelligence technology based on entertainment game experience in simulation of psychological health testing for university students

At present, the mental health problems of college students are becoming more and more prominent, but the existing mental health detection methods have certain limitations. Therefore, the combination of entertainment and game experience with artificial intelligence technology in this paper can provide a more comprehensive and accurate mental health detection scheme. The research designed an immersive entertainment game experience platform, in which artificial intelligence technology was used to detect mental health. The platform is based on emotion recognition algorithms and artificial intelligence interaction technology to assess the level of mental health of users by analyzing their behavior and emotional expression in the game. The results show that immersive artificial intelligence technology based on entertainment and game experience can effectively simulate the mental health state of college students. Compared with traditional mental health assessment methods, this technique has obvious advantages in terms of accuracy and comprehensiveness. Users also showed a high degree of acceptance and participation for this entertaining mental health detection method. This technology can provide students with a more relaxed and interesting mental health assessment experience, and can also provide accurate and comprehensive assessment results, and provide scientific and effective guidance for mental health management and intervention of college students.

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来源期刊
Entertainment Computing
Entertainment Computing Computer Science-Human-Computer Interaction
CiteScore
5.90
自引率
7.10%
发文量
66
期刊介绍: Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.
期刊最新文献
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