
Phillip MangosAdaptive Immersion Technologies · Corporate Operations
Phillip Mangos
Doctor of Philosophy
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18
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Introduction
Phillip Mangos Ph.D. currently works at Corporate Operations, Adaptive Immersion Technologies. Phillip leads product development for intelligent, adaptive, and game-based pre-employment assessments, as well as AIT's machine learning, AI, adaptive assessment and training solutions to predict and enhance workplace performance. Phillip has supported multiple efforts for personnel selection and assessment in the United States military and industrial organizations.
Publications
Publications (18)
Unmanned aircraft systems (UAS) operator training and selection procedures are still being refined to effectively address challenges related to performance, workload, and stress in UAS operation. Research suggests that experience with commercial videogames may test skills relevant to modern UAS operation. This study investigated the ability of vide...
Game-based simulation as an assessment medium has the potential to realistically mimic actual stressors experienced in real-world situations, while simultaneously reducing or eliminating potentially grave consequences of performance error. Furthermore, it affords the opportunity to adapt the delivery of assessment content in a manner that ensures t...
In this paper, we discuss the inextricable link between automating training environment adaptation and deep understanding of the context surrounding specific decisions and actions executed in the performance environment. To enable deep contextual understanding, psychological measurement strategies are needed to more accurately and rapidly model the...
The purpose of this paper is to present a visualization tool, grounded in modern psychometric theory, for optimizing the parameters of adaptive training systems. The tool can be used in a research capacity to rapidly visualize the course, trajectory, and shape of one’s learning curves resulting from different adaptive training conditions and how th...
This edited volume provides an overview of the latest advancements in adaptive training technology. Intelligent tutoring has been deployed for well-defined and relatively static educational domains such as algebra and geometry. However, this adaptive approach to computer-based training has yet to come into wider usage for domains that are less well...
Recent studies have pointed to within-subjects designs as an especially effective tool for gauging the occurrence of faking behavior in applicant samples. The current study utilized a within-subjects design and data from a sample of job applicants to compare estimates of faking via within-subjects score change to estimates based on a social desirab...
We assessed the influence of task and team shared mental models (SMMs) on team effectiveness, as mediated by collective efficacy. Using a sample of 422 air traffic controllers representing 43 Navy teams from land-based towers, task SMMs exhibited a significant linear relationship with team effectiveness, whereas team SMMs did not. Moreover, the int...
Due to dramatic war time increases in prevalence rates, Combat and Operational Stress (COS) and its potential resultants (ranging from Combat and Operational Stress Reactions - COSRs to Post Traumatic Stress Disorder - PTSD) are topics of specific interest to the Department of Defense (DoD). Three individual difference factors: demographics, temper...
Many simulation-based training systems have the technological capacity to support real-time, adaptive assessment and training. However, arguably few incorporate an assessment framework to support valid inferences about the latent skills that drive observable performance, and therefore, produce meaningful, relevant, and appropriately challenging ins...
Simulation-based training has become an increasingly versatile method for enhancing adaptive performance in a variety of complex task domains. Military settings rely heavily on simulation-based training for tasks ranging from command and control, air defense warfare, ship and aircraft maintenance, and damage control in dismounted combat and urban w...
The study examined in this article casts the challenge of enhancing military training effectiveness as one of reducing the discrepancy between maximum and typical performance. Our principal assertion is that performance measurement focused on this discrepancy can enhance performance improvement initiatives because it gives the foundation for estima...
This study presents a novel measurement framework for assessing and predicting maximum and typical performance. The proposed measurement approach addresses the need for organizations to assess maximum and typical performance changes over time in complex job settings requiring coordination of multiple tasks with changing priorities. We present resul...
The scenario-based approach to training offers the potential for customized instruction. However, practical limitations and little theoretical guidance for individualizing instructional events to learners' needs have rendered difficult the realization of this potential. Thus, the purpose of this paper is to propose a framework for intelligent, scen...
We examined the role of subjective task complexity in goal orientation effects on self-efficacy and performance on a computerized simulation of a class scheduling task (N = 138). Results indicated that goal orientation effects on performance were mediated by subjective task complexity. In addition, our results revealed that subjective task complexi...
Thesis (Ph. D.)--Wright State University, 2003. Typescript. Includes bibliographical references (leaves 107-121).