WORKSHOP: Doctoral Consortium at the 2016 ACM User Modeling, Adaptation and Personalization Conference (UMAP 2016)
WORKSHOP: Doctoral Consortium at the 2016 ACM User Modeling, Adaptation and Personalization Conference (UMAP 2016)
批准号:
1642486
负责人:
Sidney D'Mello
金额:
$1.44万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-01 至 2017-06-30
中文摘要
这笔资金用于支持最多12名在美国院校就读博士课程的学生的旅行,以展示他们被接受的论文和海报,并/或参加与第24届用户建模、适应和个性化国际会议(UMAP 2016)相关的博士联盟,该会议将于7月13日至17日在加拿大新斯科舍省哈利法克斯的达尔豪斯大学举行,由ACM SIGCHI和SIGWEB赞助。适应可用用户信息(如特殊需要或个人偏好)的用户界面变得越来越重要,以至于适应性已经成为软件产品的卖点。具有构建和咨询用户模型(特定用户或用户组属性的显式表示)能力的系统可以适应其性能的不同方面,并在各种情况下增强其有效性、可用性和/或可接受性(例如,减少信息过载,提高信息检索、过滤和注释的质量,并生成有用的信息可视化)。用户建模的应用程序范围从电子商务和智能学习环境到医疗保健和辅助技术。用户建模的相关平台包括移动和可穿戴系统和智能环境,以及个人桌面系统、群件、自适应超媒体和其他基于web的系统。一年一度的UMAP会议是来自所有这些领域的学术和工业研究人员聚集在一起展示他们最新的研究成果并交流他们对用户建模问题的互补见解的主要论坛。有关会议的更多信息,请访问http://www.um.org/umap2016/。参加并展示他们在UMAP的工作将对未来一代用户建模、适应和个性化研究人员的职业生涯产生重大影响。首先,他们将有机会向知识渊博的听众展示他们的工作,并通过热烈的讨论在他们研究的早期阶段获得有用的评论,这将是最有用的。同样重要的是,他们将有机会见到知名的研究人员和其他从事类似工作的研究生,交换意见,建立联系,这对他们在科学事业上取得进步将是非常宝贵的。与年轻研究人员的互动也有利于经验丰富的研究人员,提供新的想法和新的视角。因此,博士联盟对参与的学生来说是一个很好的信心建立者,对资深研究人员来说也是一个很好的激励。UMAP博士联盟的许多过去的参与者已经成为该领域备受尊敬的研究人员和实践者。那些作品被选为博士联合会报告的学生将以许多其他方式从这一经验中受益。他们将被邀请撰写一篇论文,发表在UMAP 2016年会议论文集中,该论文将被纳入ACM数字图书馆。他们将有15分钟的时间来展示他们的作品(如果合适的话,可能包括一个简短的演示),然后是额外的15分钟的提问和讨论。在提问/讨论期间和随后的非正式互动中,组委会成员和其他参与者将对每个学生的工作提供建设性的意见,并尝试解决学生要求建议的方面。组织者重申了UMAP长期以来对多样性的承诺;为此目的,它们在选择接受财政支助的候选人时将特别努力征聘妇女和代表性不足群体的成员。
英文摘要
This is funding to support travel for up to 12 students enrolled in PhD programs in U.S. institutions, to present their accepted papers and posters and/or to attend the Doctoral Consortium associated with the 24th International Conference on User Modeling, Adaptation and Personalization (UMAP 2016), to be held at Dalhousie University in Halifax, Nova Scotia (Canada) on July 13-17, and which is sponsored by ACM SIGCHI and SIGWEB. User interfaces that adapt themselves to available user information (such as special needs or individual preferences) are becoming increasingly important, so much so that adaptability has become a selling point for software products. A system with the ability to construct and consult a user model (an explicit representation of properties of a particular user or group of users) can adapt diverse aspects of its performance and enhance its effectiveness, usability and/or acceptance in a variety of situations (e.g., to reduce information overload, to improve the quality of information retrieval, filtering and annotation, and to generate useful information visualizations). Applications for user modeling range from electronic commerce and intelligent learning environments to health care and assistive technologies. Relevant platforms for user modeling include mobile and wearable systems and smart environments, as well as individual desktop systems, groupware, adaptive hypermedia, and other web-based systems. The annual UMAP conference is the premier forum at which academic and industrial researchers from all these fields gather to present their latest research and to exchange their complementary insights on user modeling issues. More information about the conference is available online at http://www.um.org/umap2016/. Attending and presenting their work at UMAP will have a significant impact on the careers of the future generation of user modeling, adaptation, and personalization researchers. First, they will have the opportunity to present their work to a knowledgeable audience and through lively discussions get useful comments at an early stage of their research when it will be most useful. Just as importantly, they will have a chance to meet established researchers and other graduate students doing similar work, to exchange ideas and to make contacts that will be invaluable to them as they progress in their scientific careers. Interacting with young researchers is also beneficial to experienced investigators, by providing fresh ideas and new perspectives. Thus, the Doctoral Consortium is a great confidence builder for the students involved, and highly stimulating to the senior researchers as well. Many past participants in the UMAP Doctoral Consortium have gone on to become well-regarded researchers and practitioners in the field. Students whose work has been selected for presentation at the Doctoral Consortium will benefit from that experience in a number of additional ways. They will be invited to write a paper that will be published in the UMAP 2016 conference proceedings, which will be included in the ACM Digital Library. They will have 15 minutes to present their work (which may include a short demonstration if appropriate), to be followed by an additional 15 minutes for questions and discussion. During the question/discussion period and in subsequent informal interactions, organizing committee members and other participants will provide constructive comments on each student's work and attempt to address aspects on which the student has requested advice. The organizers have reaffirmed the long-standing and demonstrated UMAP commitment to diversity; to this end, they will make special efforts to recruit women and members of under-represented groups when selecting the candidates to receive financial support.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research [FW-HTF-RL]: Enhancing the Future of Teacher Practice via AI-enabled Formative Feedback for Job-Embedded Learning
-
批准号:2326170
-
项目类别:Standard Grant
-
资助金额:$67.71万
-
财政年份:2023
-
负责人:Sidney D'Mello
-
依托单位:
RAPID: Longitudinal Modeling of Teams and Teamwork during the COVID-19 Crisis
-
批准号:2030599
-
项目类别:Standard Grant
-
资助金额:$19.77万
-
财政年份:2020
-
负责人:Sidney D'Mello
-
依托单位:
AI Institute: Institute for Student-AI Teaming
-
批准号:2019805
-
项目类别:Cooperative Agreement
-
资助金额:$1999.33万
-
财政年份:2020
-
负责人:Sidney D'Mello
-
依托单位:
Collaborative Research: FW-HTF-RM: Intelligent Facilitation for Teams of the Future via Longitudinal Sensing in Context
-
批准号:1928612
-
项目类别:Standard Grant
-
资助金额:$33.81万
-
财政年份:2019
-
负责人:Sidney D'Mello
-
依托单位:
AI-DCL: Collaborative Research: EAGER: Understanding and Alleviating Potential Biases in Large Scale Employee Selection Systems: The Case of Automated Video Interviews
-
批准号:1921087
-
项目类别:Standard Grant
-
资助金额:$14.5万
-
财政年份:2019
-
负责人:Sidney D'Mello
-
依托单位:
Modeling Brain and Behavior to Uncover the Eye-Brain-Mind Link during Complex Learning
-
批准号:1920510
-
项目类别:Continuing Grant
-
资助金额:$100.0万
-
财政年份:2019
-
负责人:Sidney D'Mello
-
依托单位:
EXP: Collaborative Research: Cyber-enabled Teacher Discourse Analytics to Empower Teacher Learning
-
批准号:1735793
-
项目类别:Standard Grant
-
资助金额:$26.25万
-
财政年份:2017
-
负责人:Sidney D'Mello
-
依托单位:
Collaborative Research: Interpersonal Coordination and Coregulation during Collaborative Problem Solving
-
批准号:1660877
-
项目类别:Continuing Grant
-
资助金额:$83.63万
-
财政年份:2017
-
负责人:Sidney D'Mello
-
依托单位:
Collaborative Research: Interpersonal Coordination and Coregulation during Collaborative Problem Solving
-
批准号:1745442
-
项目类别:Continuing Grant
-
资助金额:$83.63万
-
财政年份:2017
-
负责人:Sidney D'Mello
-
依托单位:
EXP: Attention-Aware Cyberlearning to Detect and Combat Inattentiveness During Learning
-
批准号:1748739
-
项目类别:Standard Grant
-
资助金额:$45.56万
-
财政年份:2017
-
负责人:Sidney D'Mello
-
依托单位:
EXP: Attention-Aware Cyberlearning to Detect and Combat Inattentiveness During Learning
-
批准号:1523091
-
项目类别:Standard Grant
-
资助金额:$54.99万
-
财政年份:2015
-
负责人:Sidney D'Mello
-
依托单位:
Support for Doctoral Students from U.S. Universities to Attend the AIED 2013 and EDM 2013 Conferences
-
批准号:1340163
-
项目类别:Standard Grant
-
资助金额:$1.99万
-
财政年份:2013
-
负责人:Sidney D'Mello
-
依托单位:
Beyond Boredom: Modeling and Promoting Engagement during Complex Learning
-
批准号:1235958
-
项目类别:Standard Grant
-
资助金额:$107.99万
-
财政年份:2012
-
负责人:Sidney D'Mello
-
依托单位:
Beyond Boredom: Modeling and Promoting Engagement during Complex Learning
-
批准号:1108845
-
项目类别:Standard Grant
-
资助金额:$108.39万
-
财政年份:2011
-
负责人:Sidney D'Mello
-
依托单位:
海外基金