学习者情感投入画像：情感AI、跨文化语用学与语言学习
Profiling learners' affective engagement: Emotion AI, intercultural pragmatics, and language learning
AI总结：
本文探讨了情感AI在语言学习中的应用，特别是自动情感识别和模拟人类响应如何影响语用能力和互动能力的发展，并讨论了其个性化学习优势与情感操纵风险。
摘要：
学习另一种语言可能是一个高度情感化的过程，通常以无数大大小小的挫折和成功为特征。对大多数学习者而言，语言学习并非遵循线性、可预测的路径，其曲折进程受动机（或去动机）变量影响，如个人特征、师生关系、学习材料以及对未来第二语言自我的梦想。虽然语言学习的某些方面（阅读、语法）相对机械，但其他方面可能充满压力且不可预测，尤其是用目标语言交谈。这种体验不仅需要结构和词汇知识，还需要以适合社会和文化语境的方式使用语言的能力。AI聊天机器人的出现为练习会话能力提供了新机会，既有优势（响应迅速、无评判），也有缺点（缺乏情感、文化偏见）。本文探讨了技术使用中产生的情感方面，特别是自动情感识别和AI系统中模拟的人类响应如何与语言学习以及语用和互动能力的发展相互作用。情感AI，即算法驱动对用户情感信号的解读，被认为能够实现更个性化的学习，适应感知到的学习者认知和情感状态。其他人则警告情感操纵以及不恰当和无效的用户画像。
英文摘要：
Learning another language can be a highly emotional process, typically characterized by numerous frustrations and triumphs, big and small. For most learners, language learning does not follow a linear, predictable path, its zigzag course shaped by motivational (or demotivating) variables such as personal characteristics, teacher/peer relationships, learning materials, and dreams of a future L2 (second language) self. While some aspects of language learning (reading, grammar) are relatively mechanical, others can be stressful and unpredictable, especially conversing in the target language. That experience necessitates not only knowledge of structure and lexis, but also the ability to use the language in ways that are appropriate to the social and cultural context. A new opportunity to practice conversational abilities has arrived through the availability of AI chatbots, with both advantages (responsive, non-judgmental) and drawbacks (emotionally void, culturally biased). This column explores aspects of emotion as they arise in technology use and in particular how automatic emotion recognition and simulated human responsiveness in AI systems interface with language learning and the development of pragmatic and interactional competence. Emotion AI, the algorithmically driven interpretation of users' affective signals, has been seen as enabling greater personalized learning, adapting to perceived learner cognitive and emotional states. Others warn of emotional manipulation and inappropriate and ineffective user profiling
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
