WORKSHOP: Graduate Consortium at the 2022 VL/HCC Conference
WORKSHOP: Graduate Consortium at the 2022 VL/HCC Conference
批准号:
2219562
负责人:
Thomas LaToza
金额:
$3.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-06-15 至 2023-05-31
中文摘要
这笔资金用于支持来自美国教育机构的6名博士生,以及PI和其他2-3名杰出研究人员作为导师,参与与2022年IEEE视觉语言和以人为中心的计算研讨会(VL/HCC)一起组织的研究生联盟(研讨会)。这次会议由IEEE计算机学会多媒体计算技术委员会主办,将于9月13日至16日在意大利罗马举行。VL/CC成立于1984年,其使命是支持用于编程、建模和通信的计算技术和语言的设计、理论、应用和评估,这些技术和语言更容易被人们学习、使用和理解。VL/PLC在人机界面和编程语言会议中占有独特的地位,因为它专门关注如何帮助最终用户成功开发和使用软件。今年,会议的重点是以人类为中心的人工智能;有关更多信息,请访问https://conf.researchr.org/home/vlhcc-2022.国际学生联合会和组委会成员将作出特别努力,吸引不同的、跨学科的学生参加研究生联合会,特别注意招收代表性不足的机构的学生和妇女。为了进一步增加多样性,来自任何给定机构的学生参与者将不超过两人(如果两人被接受,则至少其中一人必须来自STEM领域代表不足的群体),返回的学生将被优先考虑约三分之一的名额。计算的快速进步导致了与人类社会不断加深的融合,主要例子包括在线市场、社交媒体系统、大型多人在线游戏和开放源码库。然而,随着社会技术系统变得越来越复杂,最终用户越来越难以完全理解它们并将其引向生产目的。因此,今年的VL/HCC研究生联盟的一个主要目标是激发研究生思考如何从问题解决的最早阶段利用尖端技术。该联盟是9月12日会议之前的一项全天活动,也是该系列会议中由NSF资助的第18项活动。人们可以利用什么方法、图表和工具来创建复杂社会技术系统的心理模型,以便在制定设计决策和进行协作时使用?有效的方法将以创造性和生产性的方式将用户和软件结合在一起,直接满足现代社会的需求。研究生联盟将帮助形成正在进行的和未来的研究项目,旨在缓解一个与我们社会中的许多人相关的紧迫问题。学生参与者将在研讨会期间正式介绍他们的工作,并将从教师导师和其他学生那里收到建设性的反馈,这些反馈旨在帮助他们理解和阐明他们的工作相对于其他人机交互研究的定位,他们的主题是否足够集中于论文研究项目,他们的方法是否被正确地选择和应用,以及结果是否被适当地分析和展示。这将促进发现和学习,同时也将在年轻研究人员中建立社区,这些研究人员从不同的领域工作,包括计算机科学、社会科学和教育。为了获得更广泛的VL/HCC社区的反馈,每个学生参与者将在主会议期间的展示会上展示一张海报或演示,每个学生参与者的工作的两页扩展摘要将在会议过程中发布。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This is funding to support participation by 6 Ph.D. students from U.S. educational institutions, along with the PI and 2-3 other distinguished research faculty as mentors, in the Graduate Consortium (workshop) being organized in conjunction with the 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). The conference, which is sponsored by the IEEE Computer Society's Technical Committee on Multimedia Computing, will be held September 13-16 in Rome, Italy. Established in 1984, the mission of VL/HCC is to support the design, theory, application, and evaluation of computing technologies and languages for programming, modeling, and communicating, which are easier to learn, use, and understand by people. VL/HCC occupies a unique niche among HCI and programming language conferences, in that it focuses specifically on how to help end users successfully develop and use software. This year, the conference's emphasis is on Human-Centric AI; more information may be found online at https://conf.researchr.org/home/vlhcc-2022. The PI and the members of the organizing committee will make special efforts to attract a diverse and interdisciplinary group of student participants to the Graduate Consortium, with special attention paid to recruitment of students from underrepresented institutions and women. To further increase diversity, no more than two student participants will be accepted from any given institution (and if two are accepted, then at least one of them must be from an under-represented group in STEM fields), and returning students will be given priority for approximately 1/3 of the slots.Rapid advances in computing have led to continually deeper integration with human society, prime examples including online marketplaces, social media systems, massively multiplayer online games and open-source repositories. Yet as socio-technical systems have grown in complexity, they have become increasingly difficult for end users to completely understand and direct toward productive ends. Therefore, a major goal of this year's VL/HCC Graduate Consortium, a full-day event that will immediately precede the conference on September 12 and be the 18th to be funded by NSF in this series, is to stimulate graduate students' thinking about how to exploit cutting-edge techniques from the earliest stages of problem solving. What methods, diagrams, and tools can people leverage to create mental models of complex socio-technical systems that can be used when making design decisions and for collaboration? Effective approaches will bring users and software together in creative and productive ways that bear directly on the needs of modern society. The Graduate Consortium will help shape ongoing and future research projects aimed at alleviating a pressing problem of relevance to a great many people within our society. The student participants will make formal presentations of their work during the workshop and will receive constructive feedback, both from the faculty mentors and the other students, that is geared to helping them understand and articulate how their work is positioned relative to other human-computer interaction research, whether their topics are adequately focused for thesis research projects, whether their methods are correctly chosen and applied, and whether the results are appropriately analyzed and presented. This will promote discovery and learning, while also building community among young researchers working from the perspectives of diverse fields including computer science, the social sciences, and education. To get feedback from a broader slice of the VL/HCC community, every student participant will present a poster or demo at the Showpieces event during the main conference, and a 2-page extended abstract of each student participant's work will be published in the conference proceedings.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.
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会议论文
CCRI: Planning: Collaborative Research: A Platform for Conducting Software Engineering User Studies
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批准号:2016600
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项目类别:Standard Grant
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资助金额:$2.73万
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财政年份:2020
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负责人:Thomas LaToza
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依托单位:
CAREER: SHF: Debugging Mental Models
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批准号:1845508
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项目类别:Continuing Grant
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资助金额:$51.5万
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财政年份:2019
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负责人:Thomas LaToza
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依托单位:
SHF: Medium: Collaborative Research: Programming Strategies
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批准号:1703734
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项目类别:Standard Grant
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资助金额:$59.28万
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财政年份:2017
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负责人:Thomas LaToza
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依托单位:
海外基金