Doctoral Consortium at the IEEE ACII 2017 Conference; October 23-26, 2017; San Antonio, Texas
IEEE ACII 2017 会议博士联盟;
基本信息
- 批准号:1743034
- 负责人:
- 金额:$ 0.8万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-05-15 至 2018-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The International Conference on Affective Computing and Intelligent Interaction (ACII) is the premier international forum for interdisciplinary research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. Its broad scope includes: multi-modal recognition or synthesis of human affect, psychological, cognitive, and neurological affect modeling, affective computing for social and behavioral sciences, and affective interactions for social robotics and virtual agents. The conference presents latest research in these and related areas and it plays an important role in shaping related scientific, academic, and educational programs. A theme of this ACII 2017 will be to emphasize the affective computing in action. The theme will showcase how affective computing can impact scientific knowledge and address societal challenges. Besides the main conference program, the conference will also feature workshops, tutorials, exhibitions, and a doctoral consortium. This project is to support the travel of approximately 10 U.S. Ph.D. students to attend the 7th ACII conference to be held from October 23rd to 26th, 2017 in San Antonio, Texas, USA. Besides attending the main conference program, the Ph.D. students will also attend the Doctoral Consortium, where they will share their research results with the community and receive feedback from senior researchers in the field. This will help the students only learn the state of the art in affective computing research but also have an opportunity to present their own work to, and receive feedback from, an invited committee of faculty and industry researchers along with other students working in related areas. The event organizers will make a particular effort to support underrepresented students (in particular, women and minorities) to maximize the benefits of the NSF support. The specific goals of the doctoral consortium are to provide an opportunity for face-to-face interaction and constructive feedback for doctoral research of student participants; to promote collaborative research with peer Ph.D. students and senior researchers; to develop a supportive community of scholars in the affective computing field; and to support the next generation of researchers and provide advice on academic, research, industrial, and non-traditional career paths in the field. The Doctoral Consortium solicits extended abstract (4 pages plus 1 page for references) from students from any U.S. PhD granting institution whose research falls within the Affective Computing field. Students are expected to be the sole authors on their submission. For student selection, the DC committee is committed to student and research diversity. The event organizers will make a particular effort to achieve a diversity of research topics, disciplinary backgrounds, methodological approaches, and home institutions in ACII 2017 Doctoral Consortium cohort. Each student participant will be assigned a mentor based upon similarity of research interests and experience, and have a one-one-one meeting to discuss the work. There will be a Doctoral Consortium poster session, in which all participants will present their doctoral work or a recent paper that is part of their doctoral work.
情感计算和智能交互国际会议(ACII)是跨学科研究系统设计的首要国际论坛,可以识别,解释和模拟人类情感和相关情感现象。其广泛范围包括:人类情感的多模态识别或合成,心理、认知和神经情感建模,用于社会和行为科学的情感计算,以及用于社会机器人和虚拟代理的情感交互。 会议介绍了这些和相关领域的最新研究,并在塑造相关的科学,学术和教育计划中发挥着重要作用。ACII 2017的主题将是强调情感计算的作用。该主题将展示情感计算如何影响科学知识并应对社会挑战。除了主要的会议计划外,会议还将举办研讨会,教程,展览和博士联盟。该项目将支持大约10名美国博士的旅行。2017年10月23日至26日在美国德克萨斯州圣安东尼奥举行的第七届ACII会议。 除了参加主要的会议计划,博士。学生亦会参加博士联盟,与社会分享研究成果,并听取该领域资深研究人员的意见。这将帮助学生不仅学习情感计算研究的最新技术,而且还有机会向邀请的教师和行业研究人员委员会展示自己的工作,并获得反馈,沿着其他学生在相关领域工作。活动组织者将特别努力支持代表性不足的学生(特别是女性和少数族裔),以最大限度地发挥NSF支持的好处。博士联盟的具体目标是为学生参与者的博士研究提供面对面互动和建设性反馈的机会;促进与同行博士的合作研究。学生和高级研究人员;在情感计算领域发展一个支持性的学者社区;支持下一代研究人员,并在该领域的学术,研究,工业和非传统职业道路上提供建议。博士联盟从任何研究福尔斯属于情感计算领域的美国博士授予机构的学生那里征集扩展摘要(4页加1页参考)。学生应是他们提交的唯一作者。对于学生的选择,DC委员会致力于学生和研究的多样性。活动组织者将特别努力在ACII 2017博士联盟队列中实现研究主题,学科背景,方法方法和家庭机构的多样性。每个学生参与者将根据研究兴趣和经验的相似性分配一个导师,并有一个一对一的会议来讨论工作。将有一个博士联盟海报会议,所有与会者将介绍他们的博士工作或最近的论文,这是他们的博士工作的一部分。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Yelin Kim其他文献
Automatic Emotion Recognition: Quantifying Dynamics and Structure in Human Behavior.
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Yelin Kim - 通讯作者:
Yelin Kim
Detection of breath cycles in pediatric lung sounds via an object detection-based transfer learning method
通过基于目标检测的迁移学习方法检测儿科肺部声音中的呼吸周期
- DOI:
10.1016/j.bspc.2025.107693 - 发表时间:
2025-07-01 - 期刊:
- 影响因子:4.900
- 作者:
Sa-Yoon Park;Ji Soo Park;Jisoo Lee;Hyesu Lee;Yelin Kim;Dong In Suh;Kwangsoo Kim - 通讯作者:
Kwangsoo Kim
Leveraging inter-rater agreement for audio-visual emotion recognition
利用评估者间的一致性进行视听情感识别
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Yelin Kim;E. Provost - 通讯作者:
E. Provost
Evaluating Efficiency of Spatial Analysis in Cloud Computing Platforms (Short Paper)
评估云计算平台中空间分析的效率(短论文)
- DOI:
10.4230/lipics.giscience.2018.24 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
C. Choi;Yelin Kim;Youngho Lee;Seong - 通讯作者:
Seong
Say Cheese vs. Smile: Reducing Speech-Related Variability for Facial Emotion Recognition
说奶酪与微笑:减少面部情绪识别中与语音相关的变异性
- DOI:
10.1145/2647868.2654934 - 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Yelin Kim;E. Provost - 通讯作者:
E. Provost
Yelin Kim的其他文献
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{{ truncateString('Yelin Kim', 18)}}的其他基金
WORKSHOP: Doctoral Consortium at the ACM International Conference on Multimodal Interaction (ICMI 2018)
研讨会:ACM 国际多模态交互会议 (ICMI 2018) 博士联盟
- 批准号:
1829325 - 财政年份:2018
- 资助金额:
$ 0.8万 - 项目类别:
Standard Grant
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2315410 - 财政年份:2023
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