Supporting Students Attending the User Modeling, Adaptation and Personalization 2010 Conference

适应个人需求和偏好或可用用户信息的用户界面正变得越来越重要，在某种程度上，适应性已成为软件产品的卖点。具有构造和咨询用户模型的能力的系统可以根据个人用户或用户组调整其性能的不同方面，从而提高其有效性、可用性和/或在各种情况下的可接受性。个性化界面通过个性化和提高信息检索和过滤、信息重构和注释以及信息可视化的质量，在处理信息过载和导航方面具有特别重要的意义。人们发现用户建模可以在各种情况下提高软件系统的有效性和可用性。用户模型是特定用户属性的显式表示，构造和咨询用户模型的系统可以根据单个用户调整其性能的不同方面。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。一年一度的用户建模、适应和个性化国际会议（UMAP）提供了一个重要的论坛，来自所有这些领域的学术和工业研究人员可以在这个论坛上交流他们对用户建模问题的互补见解。UMAP是长期成功的用户建模国际会议（UM, 1986-2007）和最近重要的自适应超媒体和自适应基于web的系统会议（AH, 2000-2008）的合并。这笔资金将用于资助大约8名研究生的旅行，他们将在UMAP系列活动的第18届活动（将于2010年6月20日至24日在夏威夷威科罗阿举行）上展示他们被接受的论文和海报和/或展示他们的研究计划。有关会议的更多信息，请访问http://www.hawaii.edu/UMAP2010。UMAP-10将包括一个博士联盟会议，从而延续UMAP-09以及之前在UM和AH会议上建立的传统。生动而有益的讨论使学生们能够获得有关他们正在进行的研究的建议，并使更有经验的参与者听到一些新鲜的想法，并看到该领域的一些新趋势。被选为博士联盟演讲的学生将被邀请撰写一篇论文，发表在UMAP-10附属论文集上。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评论，并尝试解决学生要求建议的方面。更广泛的影响：参加UMAP（该领域的顶级会议）并展示他们的工作，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。参加博士联盟的学生也将在几个方面受益于这种经历。首先，他们将有机会向知识渊博的听众展示他们的工作，并在研究的早期阶段获得有用的评论，因为这是最有用的。同样重要的是，他们将有机会见到从事类似工作的知名研究人员和其他研究生，交换意见，并建立对他们在科学事业上取得进步的宝贵联系。与年轻研究人员的热烈讨论对更有经验的研究人员也很有用，因为他们提供了新的观点和新的想法。因此，博士联盟对参与的学生来说是一个很好的信心建设者，对参与的研究人员来说是一个很大的激励。组织者承诺，大多数受资助的学生目前将在美国攻读博士学位。在选择获得旅费资助的学生时，主办方将优先考虑能够合理证明自己因经济限制而难以参加会议的学生，并将在入选学生中争取多样性（性别，种族，民族，残疾，机构等）。

User interfaces that adapt themselves to individual needs and preferences or available user information are becoming increasingly important, to the degree where adaptability has become a selling point for software products. A system with the ability to construct and consult user models can adapt diverse aspects of its performance to individual users or user groups, thus enhancing its effectiveness, usability, and/or acceptance in a wide variety of situations. Personalized interfaces are of special importance in dealing with information overload and navigation by personalizing and improving the quality of information retrieval and filtering, information restructuring and annotation, as well as information visualization.User modeling has been found to enhance the effectiveness and usability of software systems in a variety of situations. A user model is an explicit representation of properties of a particular user, and a system that constructs and consults user models can adapt diverse aspects of its performance to individual users. 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 International Conferences on User Modeling, Adaptation and Personalization (UMAP) provide the premier forum in which academic and industrial researchers from all of these fields can exchange their complementary insights on user modeling issues. UMAP is a merger of the long-running and successful International Conferences on User Modeling (UM, 1986-2007), and the more recent important series of Adaptive Hypermedia and Adaptive Web-Based Systems Conferences (AH, 2000-2008). This is funding to support travel by approximately 8 graduate students to present their accepted papers and posters at and/or to present their research plans at the Doctoral Consortium associated with the 18th event in the UMAP series, to be held June 20-24, 2010, in Waikoloa, Hawaii. More information about the conference is available at http://www.hawaii.edu/UMAP2010. UMAP-10 will include a Doctoral Consortium session, thereby continuing a tradition established at UMAP-09 and before that at both the UM and AH conferences. Lively and useful discussions have enabled students to receive suggestions about their ongoing research and allowed more experienced participants to hear some fresh ideas and view some of the new trends in the field. Students whose work has been selected for presentation at the Doctoral Consortium will be invited to write a paper that will be published in the UMAP-10 adjunct proceedings. 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. Both during the question/discussion period and during subsequent informal interactions, the 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.Broader Impacts: Attending and presenting their work at UMAP, the top conference in its field, will have a significant impact on the careers of the future generation of user modeling, adaptation, and personalization researchers. Students who participate in the Doctoral Consortium will also benefit from that experience in several ways. First, they will have the opportunity to present their work to a knowledgeable audience and get useful comments at an early stage of their research when it will be most useful. Just as importantly, they will have an opportunity 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. Lively discussions with young researchers are also useful to more experienced investigators, in that they provide new perspectives and fresh ideas. Thus, the Doctoral Consortium is a great confidence builder for the students involved, and highly stimulating to the established researchers who participate. The organizers have committed that the majority of funded students will be currently enrolled in Ph.D. programs in the United States. In selecting the students who will receive travel funds, the organizers will give preference to students who can reasonably prove that they would have difficulty participating in the conference due to financial constraints, and will also strive for diversity (gender, racial, ethnic, disabilities, institutional, etc.) among the selected students.