智能技术时代情感计算教育应用的隐忧、优化和未来走向  

The Application,Concerns,and Strategies of Affective Computing in the age of Intelligent Technology

作　　者：熊亮 XIONG Liang(School of Computer Science,Shanghai Institute of Technology,Shanghai 201418,China;School of Marxism,Fudan University,Shanghai 200433,China)

机构地区：[1]上海应用技术大学计算机学院,上海201418 [2]复旦大学马克思主义学院,上海200433

出　　处：《开放教育研究》2024年第6期66-71,共6页Open Education Research

基　　金：国家社会科学基金2022年度重大项目“党的十八大以来党领导社会建设的实践与经验研究”(22ZDA089)。

摘　　要：进入智能技术时代,作为关键技术的情感计算通过赋能教育数字化主体、对象、场景和评价反馈,能有效地推动情感教育发展。然而,当情感计算被嵌入教育数字化技术后,情感教育不可避免地存在着自主性缺失、感知迷失、数字焦虑和安全隐私风险等隐忧,有待从人机互动、价值引导、算法模型和隐私保护立法等层面加以优化。情感计算未来应用需挖掘海量的情感语料库,构建情感大语言模型,与脑神经科学、跨文化交际等学科交叉融合以加强情感的识别、判断与决策能力。In the age of intelligent technology,affective computing enhances the digitalization of education by empowering its primary subjects,objects,scenes,and evaluation feedback,thus effectively promoting the emotional aspect of educational digital transformation.However,integrating affective computing into digital educational technologies inevitably brings challenges such as the loss of emotional autonomy,confusion in emotional perception,digital anxiety,and risks to security and privacy.Therefore,strategies must be implemented at various levels to advance the high-quality development of both affective computing and educational digitalization,including human-machine interaction,value guidance,algorithmic modeling,and privacy protection legislation.On this basis,affective computing will further mine massive emotional corpus,build up an emotional language model,and integrate with brain neuroscience,cross-cultural communication,and other disciplines to identify,judge,and make decisions on emotions,thus promoting a more comprehensive range of industry application prospects.

关 键 词：智能技术时代 情感计算 人机交互 情感认知 隐私保护 

分 类 号：G434[文化科学—教育学]