1,103 research outputs found
Crowd robotics: real-time crowdsourcing for crowd controlled robotic agents
Major man-made and natural disasters have a significant and long-lasting economic and social impact on countries around the world. The response effort in the first few hours of the aftermath of the disaster is crucial to saving lives and minimising damage to infrastructure. In these conditions, emergency response organisations on the ground face a major challenge in trying to understand what is happening, and where the casualties are. Crowdsourcing is often used in disasters to analyse the masses of data generated, and report areas of importance to the first responders, but the results are to slow to inform immediate decision making. This thesis describes techniques for utilising real-time crowdsourcing to analyse the disaster data in real-time. We utilise this real-time analysis to influence or control robotic search agents, unmanned aerial vehicles, that are increasingly being used in disaster scenarios. We investigate methods for reliably and promptly aggregating real-time crowd input, for two different crowd robotic applications. First, direct control, used for directing a robotic search and rescue agent around a complicated and dynamic environment. Second, real-time locational sensing, used for rapidly mapping disasters and to augment a pilot's video feed, such that they can make more informed decisions on the fly, but could be used to inform a higher artificial intelligence process to direct a robotic agent. We describe two systems, CrowdDrone and CrowdAR, that use state-of-the-art methods for human-intelligent control and sensing for crowd robotics
Elliot Eisner - 04/08/1997 - (Riall Lecture Series)
Begun in 1988, the E. Pauline Riall Lecture Series brings to the University and community outstanding national lecturers in the field of education. The series was established by the late Miss Riall, long-time principal and teacher of the former Salisbury University's Campus School. A generous bequest was provided by Miss Riall's will to fund this special program.
Elliot Eisner, Professor of Education and Art, Stanford University - 4/8/1997https://www.youtube.com/watch?v=P5tnbyZOrA
CrowdAR: augmenting live video with a real-time crowd
Finding and tracking targets and events in a live video feed is important formany commercial applications, from CCTV surveillance used by police and securityfirms, to the rapid mapping of events from aerial imagery.However, descriptions of targets are typically provided in natural language bythe end users, and interpreting these in the context of a live video stream is acomplex task. Due to current limitations in artificial intelligence, especiallyvision, this task cannot be automated and instead requires human supervision.Hence, in this paper, we consider the use of real-time crowdsourcing to identifyand track targets given by a natural language description. In particular wepresent a novel method for augmenting live video with a real-time crowd
CrowdAR: a live video annotation tool for rapid mapping
Digital Humanitarians are a powerful and effective resource to analyse the vast amounts of data that disasters generate. Aerial vehicles are increasingly being used for gathering high resolution imagery of affected areas, but require a lot of effort to effectively analyse, typically taking days to complete. We introduce CrowdAR, a real-time crowdsourcing platform that tags live footage from aerial vehicles flown during disasters. CrowdAR enables the analysis of footage within minutes, can rapidly plot snippets of the video onto a map, and can reduce the cognitive load of pilots by augmenting their live video feed with crowd annotations
Real-time opinion aggregation methods for crowd robotics
Unmanned Aerial Vehicles (UAVs) are increasingly becoming instrumental to many commercial applications, such as transportation and maintenance. However, these applications require flexibility, understanding of natural language, and comprehension of video streams that cannot currently be automated and instead require the intelligence of a skilled human pilot. While having one pilot individually supervising a UAV is not scalable, the machine intelligence, especially vision, required to operate a UAV is still inadequate. Hence, in this paper, we consider the use of crowd robotics to harness a real-time crowd to orientate a UAV in an unknown environment. In particular, we present two novel real-time crowd input aggregation methods. To evaluate these methods, we develop a new testbed for crowd robotics, called CrowdDrone, that allows us to evaluate crowd robotic systems in a variety of scenarios. Using this platform, we benchmark our real-time aggregation methods with crowds hired from Amazon Mechanical Turk and show that our techniques outperform the current state-of-the-art aggregation methods, enabling a robotic agent to travel faster across a fixed distance, and with more precision. Furthermore, our aggregation methods are shown to be significantly more effective in dynamic scenario
Evaluating and complementing vision-to-language technology for people who are blind with conversational crowdsourcing
We study how real-time crowdsourcing can be used both for evaluating the value provided by existing automated approaches and for enabling workflows that provide scalable and useful alt text to blind users. We show that the shortcomings of existing AI image captioning systems frequently hinder a user's understanding of an image they cannot see to a degree that even clarifying conversations with sighted assistants cannot correct. Based on analysis of clarifying conversations collected from our studies, we design experiences that can effectively assist users in a scalable way without the need for real-time interaction. Our results provide lessons and guidelines that the designers of future AI captioning systems can use to improve labeling of social media imagery for blind users.</p
Review of the book John Locke: The philosopher as Christian virtuoso, by Victor Nuovo
Dr. Elliot Rossiter (Douglas College) reviews the book John Locke: The Philosopher as Christian Virtuoso by Victor Nuovo (2017).Final article published.contemporary applied ethicsphilosophyearly modern philosophyhistory of ethics and economic
William E. Hoy, letter to Mr. Ralph Elliot Lin Weber, July 8, 1943, with envelope and newspaper articles
This letter was sent from William E. Hoy to Mr. Ralph Elliot Lin Weber and is dated July 8, 1943. The letter recounts information about the only baseball game where Hoy, a deaf athlete, was at-bat against Taylor, also a deaf athlete. Mentioned in the letter is a typewritten play by play of the same game, copied from the Enquirer of May 17, 1902. Also included is an envelope and newspaper articles. The envelope, from International League Information, is addressed to Ralph E Lin Weber and has handwritten lists of players of N.Y. and Cincinnati. The newspaper articles are from the Dayton Daily News and the Cincinnati Enquirer and feature pictures of William E. Hoy, the author of the letter
Letter from Frank E. Gannett to William Elliot Griffis, September 14, 1912
Thanks Griffis for copy of A Modern Pioneer and attaches a newspaper clipping of a review of the book from the Star-Gazette.Enclosed with Elmira Star-Gazette newspaper clipping, Dr. Griffis author of book on KoreaThis project was funded by a grant from the Overseas Korean Cultural Heritage Foundation, Seoul, Korea.Youngmee Yu Cho and Sungmin Park are responsible for the transcription and annotation of the letters
Locke and the Jesuits on law and politics
Dr. Elliot Rossiter (Douglas College) contributed the chapter "Locke and the Jesuits on law and politics" (2019).Final book published
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