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计算机视觉介导的远程视力辅助的迭代设计与原型制作

Iterative Design and Prototyping of Computer Vision Mediated Remote Sighted Assistance.

作者信息

Xie Jingyi, Reddie Madison, Lee Sooyeon, Billah Syed Masum, Zhou Zihan, Tsai Chun-Hua, Carroll John M

机构信息

Pennsylvania State University, University Park, Pennsylvania, USA.

出版信息

ACM Trans Comput Hum Interact. 2022 Aug;29(4). doi: 10.1145/3501298. Epub 2022 Mar 31.

Abstract

Remote sighted assistance (RSA) is an emerging navigational aid for people with visual impairments (PVI). Using scenario-based design to illustrate our ideas, we developed a prototype showcasing potential applications for computer vision to support RSA interactions. We reviewed the prototype demonstrating real-world navigation scenarios with an RSA expert, and then iteratively refined the prototype based on feedback. We reviewed the refined prototype with 12 RSA professionals to evaluate the desirability and feasibility of the prototyped computer vision concepts. The RSA expert and professionals were engaged by, and reacted insightfully and constructively to the proposed design ideas. We discuss what we learned about key resources, goals, and challenges of the RSA prosthetic practice through our iterative prototype review, as well as implications for the design of RSA systems and the integration of computer vision technologies into RSA.

摘要

远程视力辅助(RSA)是一种针对视力障碍者(PVI)的新兴导航辅助工具。我们采用基于场景的设计来阐述我们的想法,开发了一个原型,展示了计算机视觉在支持RSA交互方面的潜在应用。我们与一位RSA专家一起回顾了展示现实世界导航场景的原型,然后根据反馈对原型进行了迭代改进。我们与12位RSA专业人员一起回顾了改进后的原型,以评估原型化的计算机视觉概念的可取性和可行性。RSA专家和专业人员参与其中,并对提出的设计理念给出了深刻且有建设性的反馈。我们通过迭代原型审查讨论了我们对RSA辅助实践的关键资源、目标和挑战的了解,以及对RSA系统设计和将计算机视觉技术集成到RSA中的启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8927/11785403/308b958a7440/nihms-2046508-f0001.jpg

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本文引用的文献

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Deep Learning Driven Visual Path Prediction From a Single Image.基于单张图像的深度学习驱动视觉路径预测
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