REU Site: Computational Sensing

REU 站点：计算传感

• 批准号: 1559889
• 负责人: Cecilia Alm
• 金额: $ 35.99万
• 依托单位: Rochester Institute of Tech
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-04-01 至 2020-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1559889&HistoricalAwards=false
• 关键词: REU; Site; Computational; Sensing

The goal of this new Research Experiences for Undergraduates (REU) Site is to give students experience with fundamental research in acquisition and fusion of multisource sensing data related to human beings. Students will be challenged to make sense of human behaviors and cognitive processes with hardware, software, and complex thinking, exploring the nexus of computational science, scientific practice, and the human experience. Traditionally, sensors have been understood narrowly, often as physiological measurements. This project envisions sensing in broader, new ways, as time-evolving measurable data directly linked to individuals and, by extension, to their communities. With this understanding, sensing data may involve language, social network and environment signals, or emotional-creative reactions. This REU site will: (1) advance fundamental research in computational sensing; (2) expose students to a research environment that innovatively blends computer and information science and computational liberal arts, infused with career-enhancing learning elements, and (3) ensure that transformative research experiences reach an unusually diverse student group of underrepresented subpopulations in computer science.The projects link in applications that students can directly relate to and that enable them to make concrete, real-world contributions. Further, the increasing demand for collaborative team science requires a new generation of scientists who approach research questions differently, exploring complementary perspectives and integrating methodologies and analysis tools in creative ways. Fundamental research in multisource data acquisition and fusion has valuable implications for many fields including human-computer interaction, accessibility, health and well-being, and gaming. This REU program is designed to build essential life-long capabilities in students for continued research careers, and to yield positive outcomes at the institutional and research community levels.

这个新的本科生研究体验(REU)网站的目标是为学生提供获取和融合与人类相关的多源传感数据的基础研究经验。学生将被要求通过硬件、软件和复杂思维来理解人类的行为和认知过程，探索计算科学、科学实践和人类经验之间的联系。传统上，传感器被狭隘地理解为生理测量。该项目设想以更广泛、新的方式进行传感，作为随时间演变的可测量数据，直接与个人以及他们的社区联系在一起。有了这种理解，感知数据可能涉及语言、社交网络和环境信号，或情绪创造性反应。这个REU网站将：(1)推进计算传感的基础研究；(2)让学生接触到一个创新地融合了计算机和信息科学与计算文科的研究环境，注入了促进职业生涯的学习元素，以及(3)确保变革性的研究体验接触到计算机科学中未被充分代表的特殊不同的学生群体。这些项目链接到学生可以直接与之相关的应用程序，并使他们能够做出具体的、现实的贡献。此外，对协作团队科学的日益增长的需求需要新一代科学家以不同的方式处理研究问题，探索互补的视角，以创造性的方式整合方法和分析工具。多源数据获取和融合的基础研究对人机交互、可访问性、健康和福祉以及游戏等许多领域都具有重要意义。这一REU计划旨在为学生建立必要的终身能力，使他们能够继续从事研究事业，并在机构和研究社区层面产生积极的结果。

项目成果

Evaluating Audience Engagement of an Immersive Performance on a Virtual Stage

评估虚拟舞台上沉浸式表演的观众参与度

• 发表时间: 2020
• 期刊: Frameless Labs Symposium
• 作者: Kraj, Victoria J.;Maranzatto, Thomas;Geigel, Joe;Bailey, Reynold;Ovesdotter Alm, Cecillia
• 通讯作者: Ovesdotter Alm, Cecillia

Fusing Dialogue and Gaze From Discussions of 2D and 3D Scenes

融合 2D 和 3D 场景讨论中的对话和凝视

• DOI: 10.1145/3351529.3360661
• 发表时间: 2019
• 期刊: Adjunct of the 2019 International Conference on Multimodal Interaction
• 作者: Wang, Regina;Olson, Bradley;Vaidyanathan, Preethi;Bailey, Reynold;Alm, Cecilia Ovesdotter
• 通讯作者: Alm, Cecilia Ovesdotter

Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions

• DOI: 10.18653/v1/w17-1801
• 发表时间: 2017-04
• 作者: Alex Calderwood;Elizabeth A. Pruett;R. Ptucha;C. Homan;Cecilia Ovesdotter Alm

Team-based, transdisciplinary, and inclusive practices for undergraduate research

基于团队、跨学科和包容性的本科研究实践

• DOI: 10.1109/fie.2017.8190553
• 发表时间: 2017
• 期刊: Proceedings of IEEE Frontiers in Education Conference
• 作者: Alm, Cecilia Ovesdotter;Bailey, Reynold
• 通讯作者: Bailey, Reynold

Multimodal Alignment for Affective Content

情感内容的多模式对齐

• 发表时间: 2018
• 期刊: AAAI Workshop on Affective Content Analysis
• 作者: Haduong, Nikita;Nester, David;Vaidyanathan, Preethi;Prud'hommeaux, Emily;Bailey, Reynold;Alm, Cecilia
• 通讯作者: Alm, Cecilia