CAREER: Collaborative Image Manipulation and Annotation in Surgical Telemedicine

职业：外科远程医疗中的协作图像处理和注释

• 批准号: 1552837
• 负责人: Helena Mentis
• 金额: $ 51.81万
• 依托单位: University of Maryland Baltimore County
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-06-01 至 2022-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1552837&HistoricalAwards=false
• 关键词: CAREER; Collaborative; Image; Manipulation; Annotation

The objective of this project is to investigate the benefit of collaborative image interaction in conveying expert knowledge during distributed work. Although there have been great advances in the compression and transfer of audio and video signals for telecommunication, there is still a significant challenge in providing the appropriate tools for conveying expert knowledge in distributed work settings. Surgical telemedicine is one domain where collaborative interaction with highly specialized images is vital for the efficient and effective conveyance of expert information, and the collaborating individuals may not have the same level of expertise. In this research the PI will systematically ascertain the challenges of expert distributed communication of technical images and the benefits that collaborative image interaction has in conveying expert knowledge in distributed work. Because the findings from this research will be translatable to other expert distributed environments that utilize imagery in order to have a positive effect on distributed collaborative work practices, project outcomes will have broad implications aside from the immediate benefit of providing manipulation and annotation ability on images for distributed collaborative work to support healthcare. The project will provide educational experiences at multiple levels by including high school, undergraduate, and graduate students in this interdisciplinary research. Because the PI will actively engage and mentor under-represented groups throughout the project, the work may also increase the number of underrepresented minorities and women in science and technology. Finally, the PI will disseminate results broadly in both the medical and HCI literature, and coordinate workshops at the respective yearly conferences, in order to engage a wider audience of researchers and system designers.This work is part of a long term effort by the PI in investigating how images play a part in scientific and medical collaborative practices, particularly with regards to how both professionals and lay people perceive the information through images and, in turn, the effects of new mechanisms for sensing, presenting, and interacting with those images. The research aims are: to determine the verbal and non-verbal mechanisms for conveying expert knowledge in co-located and distributed collaboration with images; to develop a prototype for distributed collaborative image interaction; to determine the effects of collaborative image interaction on expert communication processes and performance outcomes; and to determine the effects of and the reactions to collaborative image interaction on distributed work practices. The educational objective is to produce scholars with a deep understanding of collaborative technology design and social science evaluation on health information system success. This is part of a long-term effort by the PI to engage under-represented groups in computer and information science by exposing them to the process of developing technology solutions to real world problems. Specific educational activities will include development of an internship program for high school students to participate in research and systems design on the real-world problems of the operating room, and development of a cross-listed graduate course on telemedicine that utilizes a project-based curriculum to bring together the expertise of graduate students from three different UMBC graduate programs: Information Systems, Human Centered Computing, and Health IT.

这个项目的目的是调查的好处，协同图像交互在分布式工作中传递专家知识。 虽然在压缩和传输电信用音频和视频信号方面取得了很大进展，但在提供适当工具以在分布式工作环境中传达专业知识方面仍然存在重大挑战。 外科远程医疗是一个领域，其中高度专业化的图像的协作交互是至关重要的专家信息的高效和有效的传输，和合作的个人可能不具有相同的专业知识水平。 在这项研究中，PI将系统地确定技术图像的专家分布式通信的挑战和协作图像交互在分布式工作中传递专家知识的好处。 由于这项研究的结果将被翻译到其他专家分布式环境中，这些环境利用图像对分布式协作工作实践产生积极影响，因此项目成果将具有广泛的影响，除了为分布式协作工作提供图像操作和注释能力以支持医疗保健的直接好处之外。 该项目将提供多层次的教育经验，包括高中，本科和研究生在这个跨学科的研究。 由于PI将在整个项目中积极参与和指导代表性不足的群体，这项工作也可能增加代表性不足的少数民族和妇女在科学和技术领域的人数。 最后，PI将在医学和HCI文献中广泛传播结果，并在各自的年度会议上协调研讨会，以吸引更广泛的研究人员和系统设计人员。这项工作是PI长期努力的一部分，旨在调查图像如何在科学和医学合作实践中发挥作用，特别是关于专业人员和外行人如何通过图像感知信息，以及反过来，用于感测、呈现和与这些图像交互的新机制的效果。 研究目的是：确定语言和非语言的机制，用于在协同定位和分布式协作与图像传递专家知识;开发分布式协作图像交互的原型;确定协作图像交互对专家通信过程和性能结果的影响;以及确定协作图像交互对分布式工作实践的影响和反应。 教育目标是培养对协同技术设计和社会科学评估对健康信息系统成功有深刻理解的学者。 这是PI长期努力的一部分，通过让他们接触到开发真实的世界问题的技术解决方案的过程，使代表性不足的群体参与计算机和信息科学。 具体的教育活动将包括为高中生制定实习计划，以参与手术室现实问题的研究和系统设计，以及开发一个交叉上市的远程医疗研究生课程，该课程利用基于项目的课程，汇集来自三个不同UMBC研究生课程的研究生的专业知识：信息系统、以人为中心的计算和健康IT。