NSF Workshop on Seamless/Seamful Human-Technology Interaction
NSF 无缝/无缝人类技术交互研讨会
基本信息
- 批准号:2131355
- 负责人:
- 金额:$ 4.98万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project will hold a workshop and publish a report addressing seams, that is, significant junctures among people and technologies. Seams involve the ways that different modalities, mechanisms, and situations of interaction are connected. Researchers across fields will gather and collaborate to address and formulate emerging research questions. Where do seams arise? How can they be stitched together? How can consideration of seams enable developing new relationships among people and technologies? When do we want our interactions with technology to be seamless, that is, for the seams to be invisible to human participants? When might we want seamful design, which makes seams visible, reminding the humans of gaps? The workshop report will be published on the workshop website, and in prominent archival venues, such as through the ACM and IEEE. This workshop and report authoring will involve researchers across fields, including human-computer interaction, machine learning and data science, haptics, internet of things, wearables, computer graphics and computer vision, cognitive science, design, and computational creativity to consider seamless and seamful design addressing and combining: high-dimensional data analysis, computational creativity, interactive art, interaction design, exploration of machine learning model spaces, communication awareness, buildings and urban spaces, computational companions, and user modeling. Research contributions are expected to take forms such as ideas for new research initiatives, implications for design, frameworks, and theories.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.
该项目将举办一个研讨会,并发表一份报告,讨论接缝,即人与技术之间的重要结合点。接缝涉及不同的方式,机制和相互作用的情况下连接。跨领域的研究人员将聚集和合作,以解决和制定新的研究问题。接缝出现在哪里?它们怎么能被缝合在一起呢?考虑接缝如何能够在人与技术之间建立新的关系?什么时候我们希望我们与技术的交互是无缝的,也就是说,对于人类参与者来说,接缝是不可见的?什么时候我们可能需要接缝设计,使接缝可见,提醒人类的差距?研讨会报告将在研讨会网站上发布,并通过ACM和IEEE等知名档案馆发布。本次研讨会和报告撰写将涉及跨领域的研究人员,包括人机交互,机器学习和数据科学,触觉,物联网,可穿戴设备,计算机图形和计算机视觉,认知科学,设计和计算创造力,以考虑无缝和无缝的设计解决和组合:高维数据分析,计算创造力,交互艺术,交互设计,机器学习模型空间探索,通信意识,建筑物和城市空间,计算伴侣,用户建模。研究贡献预计将采取的形式,如新的研究计划的想法,对设计,框架和理论的影响。这个奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。
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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Cynthia Rudin其他文献
Fast and Interpretable Mortality Risk Scores for Critical Care Patients
重症监护患者快速且可解释的死亡风险评分
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Chloe Qinyu Zhu;Muhang Tian;Lesia Semenova;Jiachang Liu;Jack Xu;Joseph Scarpa;Cynthia Rudin - 通讯作者:
Cynthia Rudin
Exploring the Whole Rashomon Set of Sparse Decision Trees
探索整个罗生门稀疏决策树集
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Rui Xin;Chudi Zhong;Zhi Chen;Takuya Takagi;Margo Seltzer;Cynthia Rudin - 通讯作者:
Cynthia Rudin
Graph-based design of irregular metamaterials
基于图的不规则超材料设计
- DOI:
10.1016/j.ijmecsci.2025.110203 - 发表时间:
2025-06-01 - 期刊:
- 影响因子:9.400
- 作者:
Rayehe Karimi Mahabadi;Zhi Chen;Alexander C. Ogren;Han Zhang;Chiara Daraio;Cynthia Rudin;L. Catherine Brinson - 通讯作者:
L. Catherine Brinson
Understanding and Exploring the Whole Set of Good Sparse Generalized Additive Models
理解和探索一整套良好的稀疏广义可加模型
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Zhi Chen;Chudi Zhong;Margo I. Seltzer;Cynthia Rudin - 通讯作者:
Cynthia Rudin
Machine learning for science and society
- DOI:
10.1007/s10994-013-5425-9 - 发表时间:
2013-11-28 - 期刊:
- 影响因子:2.900
- 作者:
Cynthia Rudin;Kiri L. Wagstaff - 通讯作者:
Kiri L. Wagstaff
Cynthia Rudin的其他文献
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{{ truncateString('Cynthia Rudin', 18)}}的其他基金
FAI: An Interpretable AI Framework for Care of Critically Ill Patients Involving Matching and Decision Trees
FAI:用于危重患者护理的可解释人工智能框架,涉及匹配和决策树
- 批准号:
2147061 - 财政年份:2022
- 资助金额:
$ 4.98万 - 项目类别:
Standard Grant
FW-HTF-R: Interpretable Machine Learning for Human-Machine Collaboration in High Stakes Decisions in Mammography
FW-HTF-R:用于乳腺 X 线摄影高风险决策中人机协作的可解释机器学习
- 批准号:
2222336 - 财政年份:2022
- 资助金额:
$ 4.98万 - 项目类别:
Standard Grant
EAGER: Creating an Unsupervised Interpretable Representation of the World Through Concept Disentanglement
EAGER:通过概念解开创建一个无监督的、可解释的世界表征
- 批准号:
2130250 - 财政年份:2021
- 资助金额:
$ 4.98万 - 项目类别:
Standard Grant
CAREER: New Approaches for Ranking in Machine Learning
职业:机器学习排名的新方法
- 批准号:
1658794 - 财政年份:2016
- 资助金额:
$ 4.98万 - 项目类别:
Continuing Grant
CAREER: New Approaches for Ranking in Machine Learning
职业:机器学习排名的新方法
- 批准号:
1053407 - 财政年份:2011
- 资助金额:
$ 4.98万 - 项目类别:
Continuing Grant
Postdoctoral Research Fellowship in Biological Informatics for FY 2005
2005财年生物信息学博士后研究奖学金
- 批准号:
0434636 - 财政年份:2005
- 资助金额:
$ 4.98万 - 项目类别:
Fellowship Award
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