Dr. Denise M. Nicholson Profile

Dr. Denise M. Nicholson

at Soar Technology Inc

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Proceedings Article | 29 May 2014 Paper

A virtual environment for modeling and testing sensemaking with multisensor information

Denise Nicholson, Kathleen Bartlett, Robert Hoppenfeld, Margaret Nolan, Sae Schatz

Proceedings Volume 9071, 90710F (2014) https://doi.org/10.1117/12.2050780

KEYWORDS: Prototyping, Systems modeling, Sensors, Virtual reality, Performance modeling, Unmanned aerial vehicles, Coastal modeling, Analytical research, System integration, Glasses

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Given today’s challenging Irregular Warfare, members of small infantry units must be able to function as highly sensitized perceivers throughout large operational areas. Improved Situation Awareness (SA) in rapidly changing fields of operation may also save lives of law enforcement personnel and first responders. Critical competencies for these individuals include sociocultural sensemaking, the ability to assess a situation through the perception of essential salient environmental and behavioral cues, and intuitive sensemaking, which allows experts to act with the utmost agility. Intuitive sensemaking and intuitive decision making (IDM), which involve processing information at a subconscious level, have been cited as playing a critical role in saving lives and enabling mission success. This paper discusses the development of a virtual environment for modeling, analysis and human-in-the-loop testing of perception, sensemaking, intuitive sensemaking, decision making (DM), and IDM performance, using state-of-the-art scene simulation and modeled imagery from multi-source systems, under the “Intuition and Implicit Learning” Basic Research Challenge (I²BRC) sponsored by the Office of Naval Research (ONR). We present results from our human systems engineering approach including 1) development of requirements and test metrics for individual and integrated system components, 2) the system architecture design 3) images of the prototype virtual environment testing system and 4) a discussion of the system’s current and future testing capabilities. In particular, we examine an Enhanced Interaction Suite testbed to model, test, and analyze the impact of advances in sensor spatial, and temporal resolution to a user’s intuitive sensemaking and decision making capabilities.

Proceedings Article | 10 May 2007 Paper

Applied cognition and training research to address emerging military requirements

Denise Nicholson, Clint Bowers, Larry Davis, Cali Fidopiastis

Proceedings Volume 6564, 65640F (2007) https://doi.org/10.1117/12.720104

KEYWORDS: Cognition, Reliability, Electroencephalography, Human-machine interfaces, Systems modeling, Mathematical modeling, Virtual reality, Data modeling, Cognitive modeling, Computing systems

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Modeling, Simulation and Training (MS&T) technologies have provided significant capabilities for Military training and mission rehearsal. However, most of the state-of-the-art MS&T systems used today are high fidelity, stand alone systems, routinely staffed by a team of support and instructional personnel. As the military becomes more reliant on these technologies to support ever changing concepts of operations, they are asking for numerous technological advancements including 1) automated instructional features to reduce the number of personnel required for exercises, 2) increased capability for adaptation of human computer interfaces to support individual differences and embedded performance support in operational settings, and 3) a continuum of low to high fidelity system components to provide embedded, deployable and transportable solutions. A multi-disciplinary team of researchers at the University of Central Florida's (UCF) Institute for Simulation and Training (IST) Applied Cognition and Training in Immersive Virtual Environments Lab (ACTIVE), lead by Dr. Denise Nicholson, is performing research and development to address these emerging requirements as part of on-going projects for Navy, Marine Corps and Army customers. In this paper we will discuss some of the challenges that confront researchers in this area and how the ACTIVE lab hopes to respond to these challenges.

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