Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Chris Argenta"'
Publikováno v:
The International FLAIRS Conference Proceedings. 36
Generating representative behaviors for opposing and adjacent forces is critical for training military units in a simulated environment. Humans are often required in-the-loop because automated systems struggle to provide intelligent and adaptive beha
Publikováno v:
The International FLAIRS Conference Proceedings. 35
Training soldiers through virtual reality simulations has many benefits, two of which are reduced cost to conduct training operations and the ability to repeatedly perform activities that are not feasible in real life. The use of automated agents in
Autor:
Jon Doyle, Chris Argenta
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319533537
ICAART (Revised Selected Papers)
ICAART (Revised Selected Papers)
Multi-agent Plan Recognition (MPAR) infers teams and their goals from observed actions of individual agents. The complexity of creating a priori plan libraries significantly increases to account for diversity of action sequences different team struct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76a77f0cc703a3683d03e279d70f6fbc
https://doi.org/10.1007/978-3-319-53354-4_12
https://doi.org/10.1007/978-3-319-53354-4_12
Autor:
Daniel Wendroff, Jeremy C Pamplin, Timothy Park, Leopoldo C. Cancio, Randall Frank, Edward Oxford, Andriy I. Batchinsky, Charles Fisher, William E. Baker, Chris Argenta, Christopher Petrovitch
Publikováno v:
Journal of Critical Care. 38:364
Publikováno v:
BigData Conference
The goal of the 1st Workshop on Human-Centered Big Data Research was to explore the multi-disciplinary challenges of researching humans in Big Data environments. This paper summarizes the outcomes of the workshop and aims to define potential future w
Autor:
Jordan Riley Benson, Chris Argenta, William A. Pike, Susannah B. F. Paletz, Aaron Wilson, Nathan Bos
Publikováno v:
Proceedings of the 2014 Workshop on Human Centered Big Data Research.
We report on the sensemaking breakout group at the Human Centered Big Data Research (HCBDR-2014) workshop. The authors are a multi-disciplinary team of invited researchers and stakeholders who participated in this breakout session. This report includ
Autor:
Eric Stewart, Chris Argenta
Publikováno v:
Proceedings of the 2014 Workshop on Human Centered Big Data Research.
In this position paper, we discuss the challenge of processing large data sets to extract short stories that an analyst can use to understand and communicate effectively. We argue that many analytic tools, while valuable for aggregating data and show
Autor:
Elizabeth Lerner Papautsky, Jared Hoteling, James Leonard, John M. Flach, Robert R. Hoffman, Marcia Clover, Oliver Gray, Elizabeth S. Veinott, Juan Colado, Gwen Mullinix, Christopher R. Hale, Peter M. Todd, Travis L. Ross, Sharon Mayell, Olivia Fox, Steven Sickles, Chris Argenta, Elizabeth Whitaker, Jared Lorince, Edward Castronova
Publikováno v:
IGIC
This paper describes the design process and development of a 3D immersive serious game, Heuristica. The objective of this video game is to train players to improve their decision making by mitigating cognitive biases in an engaging and effective way.
Autor:
Chris Argenta, Christopher R. Hale, Matthew Holtsinger, Elizabeth Whitaker, Ethan Trewhitt, Richard Catrambone, Elizabeth S. Veinott
Publikováno v:
IGIC
In this paper we evaluate the effectiveness of intelligent tutoring approaches on mastery and learning in a serious 3D immersive game called Heuristica. Heuristica teaches students to recognize and mitigate cognitive biases using a set of scenarios o
Publikováno v:
SPIE Proceedings.
Applied Research Associates and BAE Systems are working t ogether to develop a wearable augmented reality system under the DARPA ULTRA-Vis program . Our approach to achieve the objectives of ULTRAVis, called iLeader, incorporates a full color 40°