WORKSHOP: Student Consortium at the 2014 ACM Conference on Intelligent User Interfaces
研讨会:学生联盟参加 2014 年 ACM 智能用户界面会议
基本信息
- 批准号:1415879
- 负责人:
- 金额:$ 1.93万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-12-15 至 2016-02-29
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This is funding to provide financial support for 10 graduate students (all from U. S. universities and working towards either their Master's degree or a Doctorate) to attend the 2014 International Conference on Intelligent User Interfaces (IUI 2014), to be held February 24-27 in Haifa, Israel, as participants in a special Student Consortium (workshop), as presenters in the main conference, and as attendees at the conference for general training purposes. Sponsored by ACM, the annual IUI conferences represent the growing interest in next-generation intelligent and interactive user interfaces; they are the premier forum where researchers from academia and industry, who work at the intersection of Human-Computer Interaction (HCI) and Artificial Intelligence (AI), come together to exchange complementary insights and to present and discuss outstanding research and applications whose goal is to make the computerized world a more amenable place. Unlike traditional AI the focus is not so much on making the computer smart all by itself, but rather on making the interaction between computers and people smarter. Unlike traditional HCI, there is a focus on solutions that involve large amounts of knowledge and emerging technologies such as natural language understanding, brain computer interfaces, and gesture recognition. To this end, IUI encourages contributions not only from computer science but also from related fields such as psychology, cognitive science, computer graphics, the arts, etc. IUI 2014 will be the 17th conference in the series; topics of interest this year include: intelligent interactive interfaces, systems, and devices; ubiquitous interfaces; smart environments and tools; human-centered interfaces; mobile interfaces; multimodal interfaces; pen-based interfaces; spoken and natural language interfaces; conversational interfaces; affective and social interfaces; tangible interfaces; collaborative multi-user interfaces; adaptive interfaces; sensor-based interfaces; user modeling and interaction with novel interfaces and devices; interfaces for personalization and recommender systems; interfaces for plan-based systems; interfaces that incorporate knowledge- or agent-based approaches; help interfaces for complex tasks; example- and demonstration-based interfaces; interfaces for intelligent generation and presentation of information; intelligent authoring systems; synthesis of multimodal virtual characters and social robots; interfaces for games and entertainment; for learning-based interactions and for health informatics; empirical studies and evaluations of IUI interfaces; and new approaches to designing intelligent user interfaces. More information about the conference is available online at http://iuiconf.org/. The IUI 2014 Student Consortium will build on the success of the previous two such events. The heart of the Consortium will be a full-day workshop on February 24, immediately preceding the conference, and will be structured to give student trainees exposure to their new research community by giving a 20-30 presentation on their work and receiving feedback from peers and a panel of senior researchers. Group lunch and dinner will encourage social interaction among the student cohort and informal personal interaction with the mentors. The students' work will also be featured during the main conference in a poster session, where they will gain additional experience explaining their work to others in the field. The IUI conference organizers will pay for audio-visual services, two coffee breaks, and space for accommodating attendees in the student session; no funds are requested for these items from NSF.Broader Impacts: This funding will enable attendance at the IUI conference by students who might otherwise be unable to do so for financial reasons. It will enhance the educational experience of funded participants, by bringing them into contact with leading researchers in the field and by exposing them to the lively discussion during the course of the conference that often leads to opportunities for career advancement. The quality of the conference itself will be enhanced as well, thanks to a broadening of the base of institutions represented and increased diversity of participants. The rich exchange of ideas at IUI has previously proven to be a valuable source of ideas for future research, as well as leading to collaborative efforts; this funding will extend the opportunities for collaboration and provide intellectual stimulus to programs that have previously sent few or no representatives to this conference. The organizing committee has undertaken to proactively recruit student participants from schools that have not traditionally been well represented in the IUI community. Women, minority students, the disabled, and veterans all will be encouraged to participate. To further assure diversity, no more than one student will be accepted from any given institution.
这笔资金将为10名研究生提供经济支持(全部来自美国大学)。S.参加将于2月24日至27日在以色列海法举行的2014年智能用户界面国际会议(IUI 2014),作为特别学生联盟(研讨会)的参与者,作为主要会议的演讲者,并作为一般培训目的的会议出席者。 由ACM主办的IUI年会代表了人们对下一代智能和交互式用户界面的兴趣日益增长;他们是首要的论坛,来自学术界和工业界的研究人员,谁在人机交互(HCI)和人工智能(AI)的交叉工作,走到一起,交流互补的见解,并提出和讨论杰出的研究和应用,其目标是使计算机化的世界变得更容易接受。 与传统人工智能不同,它的重点不是让计算机本身变得更智能,而是让计算机和人之间的交互变得更智能。 与传统的人机交互不同,它关注的是涉及大量知识和新兴技术的解决方案,如自然语言理解、脑机接口和手势识别。IUI 2014将是该系列的第17届会议;今年感兴趣的主题包括:智能交互界面,系统和设备;无处不在的界面;智能环境和工具;以人为本的界面;移动的界面;智能交互多模态界面;基于笔的界面;口语和自然语言界面;会话界面;情感和社交界面;有形界面;协作多用户界面;自适应界面;基于传感器的界面;用户建模和与新界面和设备的交互;个性化和推荐系统的界面;基于计划的系统的界面;结合基于知识或代理的方法的界面;复杂任务的帮助界面;基于示例和演示的界面;智能生成和呈现信息的界面;智能创作系统;多模态虚拟角色和社交机器人的合成;游戏和娱乐界面;用于基于学习的交互和健康信息学; IUI界面的实证研究和评估;以及设计智能用户界面的新方法。 有关会议的更多信息可在http://iuiconf.org/上查阅。IUI 2014学生联盟将建立在前两次此类活动的成功基础上。 该联盟的核心将是2月24日(会议前夕)举行的全天研讨会,其结构将通过20-30场关于他们的工作的演讲并接收反馈,让学生学员接触他们的新研究社区。同行和高级研究人员小组。 集体午餐和晚餐将鼓励学生群体之间的社会互动和与导师的非正式个人互动。 学生们的工作也将在海报会议期间的主要会议,在那里他们将获得额外的经验,解释他们的工作在该领域的其他人。 IUI会议组织者将支付视听服务,两个咖啡休息时间,并在学生会议容纳与会者的空间;没有资金要求从NSF.更广泛的影响这些项目:这笔资金将使出席IUI会议的学生谁否则可能无法这样做的经济原因。 它将加强受资助的参与者的教育经验,使他们与该领域的主要研究人员接触,并使他们在会议期间参加热烈的讨论,这往往会带来职业发展的机会。 由于与会机构基础的扩大和与会者的多样化,会议本身的质量也将得到提高。 IUI丰富的思想交流已被证明是未来研究的宝贵思想来源,并导致合作努力;这笔资金将扩大合作的机会,并为以前很少或根本没有代表参加这次会议的计划提供智力刺激。 组织委员会已承诺积极从传统上在IUI社区中没有很好代表的学校招募学生参与者。 妇女、少数民族学生、残疾人和退伍军人都将被鼓励参加。 为了进一步确保多样性,任何机构都不会接受超过一名学生。
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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Joyce Chai其他文献
Improving Coherence of Language Model Generation with Latent Semantic State
提高语言模型生成与潜在语义状态的一致性
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Amanda Askell;Yuntao Bai;Anna Chen;Dawn Drain;Deep Ganguli;T. Henighan;Andy Jones;Benjamin Mann;Nova Dassarma;Nelson El;Zac Hatfield;Danny Hernandez;John Kernion;Kamal Ndousse;Catherine Olsson;Dario Amodei;Tom Brown;J. Clark;Sam Mc;Chris Olah;Jared Kaplan;Nick Ryder;Jared D Subbiah;Prafulla Kaplan;A. Dhariwal;P. Neelakantan;Girish Shyam;Amanda Sastry;Sandhini Askell;Ariel Agarwal;Herbert;Gretchen Krueger;R. Child;Aditya Ramesh;Daniel M. Ziegler;Jeffrey Wu;Christopher Winter;Mark Hesse;Eric Chen;Mateusz Sigler;Scott teusz Litwin;Benjamin Gray;Jack Chess;Christopher Clark;Sam Berner;Alec McCandlish;Ilya Radford;Sutskever Dario;Amodei;Joshua Maynez;Shashi Narayan;Bernd Bohnet;Kurt Shuster;Spencer Poff;Moya Chen;Douwe Kiela;Shane Storks;Qiaozi Gao;Yichi Zhang;Joyce Chai;Niket Tandon;Keisuke Sakaguchi;Bhavana Dalvi;Dheeraj Rajagopal;Peter Clark;Michal Guerquin;Kyle Richardson;Eduard H. Hovy;A. Dataset;Rowan Zellers;Ari Holtzman;Matthew E. Peters;Roozbeh Mottaghi;Aniruddha Kembhavi;Ali Farhadi;Chunting Zhou;Graham Neubig;Jiatao Gu;Mona Diab;Francisco Guzmán;Luke Zettlemoyer - 通讯作者:
Luke Zettlemoyer
A pilot study of pre-operative misoprostol in reducing operative blood loss during hysterectomy
- DOI:
10.1016/j.ejogrb.2011.03.023 - 发表时间:
2011-09-01 - 期刊:
- 影响因子:
- 作者:
Joyce Chai;Edmund Hon;Chiu-Fai Li;Ting-Chung Pun;Shu-Biu Yeung;Pak-Chung Ho - 通讯作者:
Pak-Chung Ho
3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
3D-GRAND:为 3D-LLM 提供的百万级数据集,具有更好的基础和更少的幻觉
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Jianing Yang;Xuweiyi Chen;Nikhil Madaan;Madhavan Iyengar;Shengyi Qian;D. Fouhey;Joyce Chai - 通讯作者:
Joyce Chai
Continuing Medical Education Postmenopausal Bleeding
继续医学教育绝经后出血
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
Joyce Chai;Vincent YT Cheung - 通讯作者:
Vincent YT Cheung
BAD: BiAs Detection for Large Language Models in the context of candidate screening
BAD:候选筛选背景下大型语言模型的 BiAs 检测
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
N. Koh;Joseph Plata;Joyce Chai - 通讯作者:
Joyce Chai
Joyce Chai的其他文献
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{{ truncateString('Joyce Chai', 18)}}的其他基金
NRI: INT: COLLAB: Collaborative Task Planning and Learning through Language Communication in a Human-Robot Team
NRI:INT:COLLAB:人机团队中通过语言交流进行协作任务规划和学习
- 批准号:
1949634 - 财政年份:2019
- 资助金额:
$ 1.93万 - 项目类别:
Standard Grant
NRI: INT: COLLAB: Collaborative Task Planning and Learning through Language Communication in a Human-Robot Team
NRI:INT:COLLAB:人机团队中通过语言交流进行协作任务规划和学习
- 批准号:
1830244 - 财政年份:2018
- 资助金额:
$ 1.93万 - 项目类别:
Standard Grant
RI: Small: Extending Verb Semantics with Causality towards Physical World
RI:小:将动词语义与因果关系扩展到物理世界
- 批准号:
1617682 - 财政年份:2016
- 资助金额:
$ 1.93万 - 项目类别:
Standard Grant
NRI-Small: Contextually Grounded Collaborative Discourse for Mediating Shared Basis in Situated Human Robot Dialogue
NRI-Small:基于情境的协作话语,用于调解情境人类机器人对话中的共享基础
- 批准号:
1208390 - 财政年份:2012
- 资助金额:
$ 1.93万 - 项目类别:
Standard Grant
EAGER: Shared Gaze in Collaborative Referring
EAGER:协作引用中的共同目光
- 批准号:
1050004 - 财政年份:2010
- 资助金额:
$ 1.93万 - 项目类别:
Standard Grant
II-NEW: Towards an Infrastructure for Research on Multimodal Language Processing in Situated Human Robot Dialogue
II-新:构建情景人类机器人对话中多模态语言处理研究的基础设施
- 批准号:
0957039 - 财政年份:2010
- 资助金额:
$ 1.93万 - 项目类别:
Standard Grant
SGER: Collaborative Research: Contextual Machine Translation
SGER:协作研究:上下文机器翻译
- 批准号:
0840538 - 财政年份:2008
- 资助金额:
$ 1.93万 - 项目类别:
Standard Grant
Eye Gaze in Salience Modeling for Robust Spoken Language Understanding
用于鲁棒口语理解的显着性建模中的眼睛注视
- 批准号:
0535112 - 财政年份:2005
- 资助金额:
$ 1.93万 - 项目类别:
Standard Grant
CAREER: Learning and Optimization for Robust Multimodal Interpretation in Conversation Systems
职业:对话系统中稳健的多模态解释的学习和优化
- 批准号:
0347548 - 财政年份:2004
- 资助金额:
$ 1.93万 - 项目类别:
Continuing Grant
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