Multimodal Affective Pedagogical Agents for Different Types of Learners

Multimodal Affective Pedagogical Agents for Different Types of Learners
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针对不同类型学习者的多模式情感教学代理

DOI:
10.1007/978-3-030-68017-6_33
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发表时间:
2021
期刊:
Taiar R. (eds
影响因子:
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通讯作者:
Nicoletta Adamo, Bedrich Benes
Nicoletta Adamo, Bedrich Benes
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文献类型:
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作者:
Nicoletta Adamo, Bedrich Benes

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该论文报告了 NSF 资助的项目的进展,该项目的目标是为不同类型的学习者研究和开发多模式情感动画教学代理(APA)。尽管 APA 的研究主要集中在在线学习的认知方面,但该项目探讨了较少研究的情感特征的作用。更具体地说,这项工作的目标是:(1) 研究和开发新的算法,用于情感识别和实体代理中逼真的情感表示,这些算法将集成到一个新系统中,用于创建嵌入数字课程的 APA; (2) 建立一个以实证为基础的研究基础,以指导对不同类型的学习者有效的情感 APA 的设计。这涉及进行一系列实验,以确定代理的情绪风格和情商对不同学生群体的影响。本文概述了迄今为止所做的工作,例如开发用于生成情感 APA 的新系统(和底层算法)。它还报告了两项初步研究的结果。
The paper reports progress on an NSF-funded project whose goal is to research and develop multimodal affective animated pedagogical agents (APA) for different types of learners. Although the preponderance of research on APA tends to focus on the cognitive aspects of online learning, this project explores the less-studied role of affective features. More specifically, the objectives of the work are to: (1) research and develop novel algorithms for emotion recognition and for life-like emotion representation in embodied agents, which will be integrated in a new system for creating APA to be embedded in digital lessons; and (2) develop an empirically grounded research base that will guide the design of affective APA that are effective for different types of learners. This involves conducting a series of experiments to determine the effects of the agent’s emotional style and emotional intelligence on a diverse population of students. The paper outlines the work conducted so far, e.g., development of a new system (and underlying algorithms) for producing affective APA. It also reports the findings from two preliminary studies.
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