表情とパラ言語を自動評価する非言語コミュニケーション能力育成教材の開発と実践評価

自动评估面部表情和副语言的非语言沟通技能发展材料的开发和实践评估

• 批准号: 21K00675
• 负责人: COOPER T・D
• 金额: $ 2.41万
• 依托单位: University of Toyama
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2021
• 资助国家: 日本
• 起止时间: 2021-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-21K00675/
• 关键词: Facial expression; AI; mock interviews; online interviews; nonverbal communication; gaze tracking; facial expression; kinect camera; mock job interview; L1 L2 differences; paralanguage

With the lifting of the COVID-19 restrictions we were able to further our progress with our research, hold a new series of interviews, and present our findings at several international conferences. By changing the code from C to Python, we were able to use AI technology to analyze the facial expression of interviewees, this in turn allowed us to also start using gaze technology which helps us better assess eye contact. In this round, students participated in mock job interviews remotely via Zoom, which helps them get used to video interviews. Finally, we presented our findings at EdMEDIA 2022 via Zoom, and onsite at the ALANZ/ALAA/ALTAANZ Applied Linguistics Conference 2022 and CamTESOL 2023.

随着新冠肺炎限制的取消，我们得以进一步推进我们的研究，举行了一系列新的采访，并在几个国际会议上展示了我们的发现。通过将代码从C更改为Python，我们能够使用人工智能技术来分析受访者的面部表情，这反过来又允许我们开始使用凝视技术，这有助于我们更好地评估眼神交流。在这一轮中，学生们通过Zoom远程参加了模拟工作面试，这有助于他们习惯视频面试。最后，我们通过Zoom在EDMEDIA 2022上展示了我们的发现，并在现场ALANZ/ALAA/ALTAANZ应用语言学会议2022和CamteSOL 2023上展示了我们的发现。

项目成果

Verification of the Emergence of a Hierarchical Structure of Language through Cultural Inheritance with Consideration of the Mother Tongue

考虑母语的文化传承验证语言层次结构的出现

• 发表时间: 2023
• 作者: Taichi Masui;Ryuichi Matoba;Cooper Todd
• 通讯作者: Cooper Todd

De-Kinecting to Connect: Using Older Technology to Increase bettier learning connections

去 Kinecting 连接：使用旧技术来增加更好的学习连接

• 发表时间: 2023
• 作者: Todd Cooper;Akira Tsukada;Kaori Fukagawa;Ryuichi Matoba
• 通讯作者: Ryuichi Matoba

A Study of an Interview Evaluation System Considering Eye Gaze Information

考虑视线信息的面试评价系统研究

• 发表时间: 2023
• 作者: Takeru Kobayashi;Ryuichi Matoba;Kaori Fukagawa;Akira Tsukada;Cooper Todd
• 通讯作者: Cooper Todd