WORKSHOP: Doctoral Consortium at the 2020 Association of Computing Machinery Conference on User Modeling, Adaptation and Personalization

研讨会：2020 年计算机协会用户建模、适应和个性化会议博士联盟

• 批准号: 2022227
• 负责人: Yong Zheng
• 金额: $ 1.9万
• 依托单位: Illinois Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2022227&HistoricalAwards=false
• 关键词: WORKSHOP; Doctoral; Consortium; 2020; Association

This is funding to support about 10 students enrolled in MS or PhD programs in U.S. educational institutions, to present their accepted papers and posters and/or to attend the Doctoral Consortium associated with the 28th International Conference on User Modeling, Adaptation and Personalization (UMAP 2020). 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 present their latest research and to exchange their complementary insights on user modeling issues. Presenting their work at UMAP will have a significant impact on the careers of the future generation of user modeling, adaptation, and personalization researchers. Student participants in the Doctoral Consortium 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 2020 conference proceedings, which will be included in the Association for Computing Machinery (ACM) Digital Library. And they will have a 30-minute window in which to present their work (with a short demonstration where appropriate), including time 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.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这是资金支持约10名学生就读于MS或博士课程在美国教育机构，提出他们接受的论文和海报和/或参加与第28届国际会议用户建模，适应和个性化（UMAP 2020）相关的博士联盟。 使自己适应可用用户信息（如特殊需求或个人偏好）的用户界面变得越来越重要，以至于适应性已成为软件产品的卖点。 具有构建和咨询用户模型（特定用户或用户组的属性的显式表示）的能力的系统可以适应其性能的不同方面，并增强其在各种情况下的有效性、可用性和/或接受度（例如，减少信息过载，提高信息检索、过滤和注释的质量，以及生成有用的信息可视化）。 用户建模的应用范围从电子商务和智能学习环境到医疗保健和辅助技术。 用于用户建模的相关平台包括移动的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展示他们最新研究并交流他们对用户建模问题的互补见解的首要论坛。在UMAP展示他们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。博士生联盟的学生参与者将有机会向知识渊博的观众展示他们的工作，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，他们将有机会与从事类似工作的知名研究人员和其他研究生会面，交流思想，并建立联系，这对他们在科学生涯中取得进步至关重要。 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，博士生联盟是一个很大的信心建设者的学生参与，并高度刺激高级研究人员以及。 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。 学生的工作已被选定为在博士联盟演示将受益于这种经验，在一些额外的方式。 他们将被邀请撰写一篇论文，发表在UMAP 2020会议论文集上，该论文集将被收录在计算机协会（ACM）数字图书馆中。 他们将有30分钟的时间来展示他们的工作（在适当的情况下进行简短的演示），包括提问和讨论的时间。 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出建设性意见，并试图解决学生要求提供建议的方面。 组织者重申了UMAP长期以来对多样性的承诺;为此，他们将特别努力招募女性和代表性不足的群体成员。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。