Developing an Effective Combat Identification Training

Keebler, Joseph R.; Jentsch, Florian; Hudson, Irwin

doi:10.1037/e578902012-333

Cited by 3 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Widely available technology makes it increasingly feasible to move training into the realm of video and virtual reality training. It seems likely that visually rich, interactive training materials will soon be routinely presented on mobile computing devices (see Keebler, et al, 2011). The current study suggests that using active training strategies such as that used in the response condition can improve identification performance.…”

Section: Discussionmentioning

confidence: 80%

Object Identification Errors Can be Predicted from Attention Biases Acquired During Training

Higgins

Bohil

Keebler³

2013

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

View full text Add to dashboard Cite

The goal of the present research was to understand the relationship between object similarity and incidentally-inferred category structure. Participants completed one of two possible training tasks in which they learned to identify line-drawings of main battle tanks. In the "observation" group, participants observed a series of tank images and tank-model names. In the "response" group, participants saw the same tank images but had to guess the label on each trial (corrective feedback followed each response). All participants then completed an identification test, followed by a card-sorting task using the same tank images to determine how participants mentally organized the vehicles after repeated exposure. The response training condition resulted in significantly fewer identification errors than the observation training condition. The card sorts enabled us to predict a substantial proportion of the identification confusions, particularly after response training (50% of identification errors predicted). These results support the hypothesis that rote memorization of individual training items may lead to some (untrained) mental organization of items, and that identification errors may be partially predicted and explained as a result of this mental organization.

show abstract

Section: Discussionmentioning

confidence: 80%

Object Identification Errors Can be Predicted from Attention Biases Acquired During Training

Higgins

Bohil

Keebler³

2013

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

View full text Add to dashboard Cite

show abstract

“…Training Technologies for CID Keebler et al (2011) discussed a set of potential training technologies that could be used to enhance individual levels of performance in CID tasks, including military issued graphic training aids, 1:35 th scale die cast models, stereoscopic 3D simulations, first-person shooter simulations, augmented reality, and pictures embedded in game-like environments. One of the earliest effects found in this research was that training media transfers well to itself, but not to other media.…”

Section: Best Practices For Effectively Training Cidmentioning

confidence: 99%

“…Research involving individual difference factors has focused heavily on measuring spatial abilities, visual working memory, and other aspects of cognition to address potential individual differences that could predict learning effectiveness (Keebler, 2011). Although some of these factors contributed a clearer prediction of learning outcomes (i.e., spatial visualization), most were almost consistently overshadowed by the learning condition (i.e., training media or environment).…”

Section: Video Game Experiencementioning

confidence: 99%

“…Given this, identification under combat conditions, also referred to as Combat Identification (CID), is a challenging skill to train, because it not only requires knowledge of a multitude of cues associated with different vehicles, aircraft, or in the case of identifying humans, cultural dress, but also the ability to discern and judge these cues under challenging conditions (e.g., reduced visibility, noise, stress). Much work has been conducted in an attempt to discover best practices for training identification in these contexts, with a specific focus in recent years on training identification of armored vehicles (Keebler, Jentsch, & Hudson, 2011). The need for training is further compounded by the fact that unmanned technologies have emerged making identification even more challenging due to the perceptual limitations that exist when viewing the world through a remote sensor (Tittle, Roesler, & Woods, 2002).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, technology may aid in some instances, but we still must train: The individual soldier, reconnaissance airmen, or unmanned vehicle sensor operator will still need to rely heavily on their own knowledge and decision making abilities to effectively perform CID, at least for the time being. Therefore, we must identify the necessary training needs to ensure that those making the decisions have the proper expertise to quickly and accurately identify threats in their given environment (Keebler, et al 2011). Through applying the science of training, this research has attempted to better understand how to train an individual quickly, reliably, and effectively (Salas & Cannon-Bowers, 2001).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Review of Combat Identification Training

Keebler¹,

Smith

Patzer

et al. 2015

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

View full text Add to dashboard Cite

Combat identification (CID) has been studied throughout the 20th and into the 21st century, with a renewed interest in the topic in the past few decades. CID research has demonstrated that an emerging set of technologies could potentially mitigate some of the negative battlefield outcomes of failures in CID, including high rates of fratricide due to friendly fire. This paper discusses major CID research and provides an update on previous CID research by the authors. We review training technologies, effective measurement tools in this research, and important individual differences to consider for others researching training outcomes in relation to learning to differentiate between highly similar combat vehicles.

show abstract

Combat Identification in Mixed Gender Teams

Baker¹,

Keebler²,

Rarick³

et al. 2017

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

View full text Add to dashboard Cite

This study examined the effects of team gender composition on combat identification ability. We investigated the relationship between gender composition and team success in decision making during combat identification scenarios. Participants were shown images and videos of various armored vehicles in both daytime and nighttime environments in order to elicit team decisions on how to identify each vehicle. Measures were taken to determine an individual’s potential role in the team and success of identification when presented with tanks at different angles. Results showed that male-male teams scored significantly higher on combat identification than male-female teams, and males outperformed females on spatial visualization. In addition, spatial visualization ability was a strong predictor of combat identification success. These findings lay a foundation for optimizing team performance in combat identification tasks when teams with different genders are utilized, and this study further supports future research into mixed-gender teams in combat roles.

show abstract

Developing an Effective Combat Identification Training

Cited by 3 publications

References 0 publications

Object Identification Errors Can be Predicted from Attention Biases Acquired During Training

Object Identification Errors Can be Predicted from Attention Biases Acquired During Training

Review of Combat Identification Training

Combat Identification in Mixed Gender Teams

Contact Info

Product

Resources

About