Jonroy D Canady

Jonroy D Canady
Army Research Laboratory | ALC · Human Research and Engineering Directorate (HRED)

Bachelor of Science in Computer Engineering

About

16
Publications
3,841
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47
Citations
Additional affiliations
May 2011 - October 2014
DCS Corporation
Position
  • Computer Engineer II
Education
August 2007 - May 2011
West Virginia University
Field of study
  • Computer Engineering
August 2007 - May 2011
West Virginia University
Field of study
  • Electrical Engineering

Publications

Publications (16)
Chapter
The U.S. Army is currently working to integrate artificial intelligence, or AI-enabled systems, into military working teams in the form of both embodied (i.e., robotic) and embedded (i.e., computer or software) intelligent agents with the express purpose of improving performance during all phases of the mission. However, this is largely uncharted t...
Chapter
Full-text available
There has been considerable effort, particularly in the military, at integrating automated agents into human teams. Currently, automated agents lack the ability to intelligently adapt to a dynamic operational environment, which results in them acting as tools rather than teammates. Rapidly advancing technology is enabling the development of autonom...
Chapter
In human-agent teams, communications are frequently limited by how quickly the human component can deliver information to the computer-based agents. Treating the human as a sensor can help relax this limitation. As an instance of this, the rapid serial visual presentation target-detection paradigm provides a fast lane for human target-detection inf...
Conference Paper
Full-text available
The adaptation of a sensor fusion architecture typically utilized in multi-sensor autonomous systems toward a human-autonomy driving system is presented. The adapted sensor fusion architecture employs a simplified methodology for estimating the expected and actual performance of human and autonomous counterparts in a joint task. The aim of this est...
Conference Paper
In support of achieving better performance on autonomous mapping and exploration tasks by incorporating human input, we seek here to first characterize humans’ ability to recognize locations from limited visual information. Such a characterization is critical to the design of a human-in-the-loop system faced with deciding whether and when human inp...
Conference Paper
Full-text available
Stress can be difficult, if not impossible, to replicate in the laboratory setting. However, studying stress in the real-world poses several challenges, including the lack of contextual information. To date studies of real-world stress have been limited to two ways: 1) they either focus on acute stress events or chronic stress levels, but never bot...
Conference Paper
Full-text available
Objective measurement of an individual’s fatigue level can be difficult as surveys and questionnaires can be monotonous and potentially unreliable as means of sampling cognitive state on a daily basis. Here we present a video-game designed to be sensitive to the user’s fatigue level that remains engaging even after several days of game play.
Conference Paper
Full-text available
Neuroimaging technology has previously confined research to the laboratory setting, an environment that limits the generalizability of results to the real world. With the recent advent of high-density, wireless EEG technology, the promise of truly naturalistic neuroimaging research is closer than ever. This project presents a multi-aspect wearable...
Conference Paper
Full-text available
While the laboratory setting offers researchers a great deal of experimental control, this environment also limits how generalizable the results are to the real world. This is particularly true when studying the multifaceted phenomenon of stress, which often relies on personal experience, a dimension that is difficult to reproduce in the laboratory...
Article
Full-text available
This report provides a summary of the work and a highlight of the accomplishments performed by the U.S. Army Research Laboratory (ARL) on developing neurotechnologies for in-vehicle applications for the work period of 2012, the first year of the research program. The report will cover several aspects of the research program, including a newly funde...
Technical Report
This report provides a summary of the work and a highlight of the accomplishments performed by the U.S. Army Research Laboratory (ARL) on developing neurotechnologies for in-vehicle applications for the work period of 2012, the first year of the research program. The report will cover several aspects of the research program, including a newly funde...
Technical Report
Full-text available
This report describes the design and functionality of version 0.2 of the Graph-theoretic Interactive Narrative (Gin) System, a system intended to increase interactivity of virtual reality environments (VEs) used for human experimentation, while still allowing for necessary experimental constraints to be enforced so that the data can be analyzed. An...

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