Training Robust Decision Making in Immersive Environments

Patterson, Robert; Pierce, Byron J.; Bell, Herbert H.; Andrews, Dee H.; Winterbottom, Marc

doi:10.1518/155534309x12599553478836.

Cited by 11 publications

(18 citation statements)

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“…Additionally, the current study found the impact of simplistic training on performance within the implemented decision-making task to be negligible. This suggests that training complex decision-making likely requires more dynamic, resource-demanding methods, like those previously shown to be effective (Gil, Moreno, Moreno, García-González, Claver & Del Villar, F. 2013;Kirlik, Fisk, Walker & Rothrock, 1998;Patterson, 2009).…”

Section: Discussionmentioning

confidence: 98%

All Signals Go

Welk¹,

Mayhorn²

2015

Proceedings of the Human Factors and Ergonomics Society Annual

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Signals intelligence analysts play a critical role in the United States government by providing information regarding potential national security threats to government leaders. Analysts perform complex decisionmaking tasks that involve gathering, sorting, and analyzing information. The current study evaluated how individual differences and training influence performance on an Internet search-based medical diagnosis task designed to simulate a signals analyst task. The implemented training emphasized the extraction and organization of relevant information and deductive reasoning. The individual differences of interest included working memory capacity and previous experience with elements of the task, specifically health literacy, prior experience using the Internet, and prior experience conducting Internet searches. Preliminary results indicated that the implemented training did not significantly affect performance, however, working memory significantly predicted performance on the implemented task. These results support previous research and provide additional evidence that working memory capacity influences performance on cognitively complex decision-making tasks, whereas experience with elements of the task may not. These findings suggest that working memory capacity should be considered when screening individuals for signals intelligence positions. Future research should aim to generalize these findings within a broader sample, and ideally utilize a task that directly replicates those performed by signals analysts.

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Section: Discussionmentioning

confidence: 98%

All Signals Go

Welk¹,

Mayhorn²

2015

Proceedings of the Human Factors and Ergonomics Society Annual

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“…Supporters of dashboard argue that providing few critical indicators in a clear and concise form results in an increase in the human cognition and processing of information (Card et al, 1999). This is supported by several human cognition studies that demonstrate that a visual material is easier for the human brain to process (Ware, 2004) due to its inherent analytical and intuitive qualities (Patterson, Pierce, Bell, Andrews & Winterbottom, 2009). The human brain is skilled in perceiving patterns, the relationship between different domains, deduction and logical conclusions and storing information in the long-term section of the brain (Patterson et al, 2014).…”

Section: Dashboard Designmentioning

confidence: 88%

Gathering Researchers' Requirements to Develop a Learning Technologies Dashboard

Mena¹,

Isaías²

2019

12th IADIS International Conference Information Systems 2019

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The learning technologies area has expanded incredibly fast due to the growing and acceptance of technology in the classrooms. As a result, the data produced by students is vast and is growing in each of the learning technologies used, leading to a possibility of discovering patterns that can help to enhance the student experience. However, a clear research regarding the adoption of learning technologies and how to spread this research is limited and almost inexistent. Most of the research revolves around students or teachers disregarding the researcher's standpoint. All the tools and artefacts such as dashboards that have helped to improve both students and teachers' knowledge are absent for researchers. Hence, this paper is aimed on finding and defining the most common learning technologies platforms and tools as well as the user requirements to build a dashboard to display this information considering the researchers' objectives. In this regard, an online survey was created and sent to both researchers interested in the learning technology area and learning technologies designers. The responses were analysed with quantitative tools such as exploratory factor analysis, analysis of variance, t-tests and graphical means. The results led to the user requirements for developing a dashboard.

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“…To develop this idea fully, we need to discuss a two-process theory of reasoning and decision making articulated in the contemporary cognitive psychology literature (see Patterson, Pierce, Bell, Andrews, & Winterbottom, 2009 ;Patterson & Silzars, 2009 ).…”

Section: Intuitive Reasoningmentioning

confidence: 99%

Human Factors of Stereoscopic 3D Displays

Patterson¹

2015

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Training Robust Decision Making in Immersive Environments

Cited by 11 publications

References 0 publications

All Signals Go

All Signals Go

Gathering Researchers' Requirements to Develop a Learning Technologies Dashboard

Human Factors of Stereoscopic 3D Displays

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