Current Search: cognitive responses (x)
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- Title
- MODELING AND CHARACTERIZATION OF ACUTE STRESS UNDER DYNAMIC TASK CONDITIONS.
- Creator
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Millan, Angel, Crumpton-Young, Lesia, University of Central Florida
- Abstract / Description
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Stress can be defined as the mental, physical, and emotional response of humans to stressors encountered in their personal or professional environment. Stressors are introduced in various activities, especially those found in dynamic task conditions when multiple task requirements must be performed. Stress and stressors have been described as activators and inhibitors of human performance. The ability to manage high levels of acute stress is an important determinant of successful performance...
Show moreStress can be defined as the mental, physical, and emotional response of humans to stressors encountered in their personal or professional environment. Stressors are introduced in various activities, especially those found in dynamic task conditions when multiple task requirements must be performed. Stress and stressors have been described as activators and inhibitors of human performance. The ability to manage high levels of acute stress is an important determinant of successful performance in any occupation. In situations where performance is critical, personnel must be prepared to operate successfully under hostile or extreme stress conditions; therefore training programs and engineered systems must be tailored to assist humans in fulfilling these demands. To effectively design appropriate training programs for these conditions, it is necessary to quantitatively describe stress. A series of theoretical stress models have been developed in previous research studies; however, these do not provide quantification of stress levels nor the impact on human performance. By modeling acute stress under dynamic task conditions, quantitative values for stress and its impact on performance can be assessed. Thus, this research was designed to develop a predictive model for acute stress as a function of human performance and task demand. Initially, a four factor two level experimental design [2 (Noise) x 2 (Temperature) x 2 (Time Awareness) x 2 (Workload)] was performed to identify reliable physiological, cognitive and behavioral responses to stress. Next, multivariate analysis of variance (n=108) tests were performed, which showed statistically significant differences for physiological, cognitive and behavioral responses. Finally, fuzzy set theory techniques were used to develop a comprehensive stress index model. Thus, the resulting stress index model was constructed using input on physiological, cognitive and behavioral responses to stressors as well as characteristics inherent to the type of task performed and personal factors that interact as mediators (competitiveness, motivation, coping technique and proneness to boredom). Through using this stress index model to quantify and characterize the affects of acute stress on human performance, these research findings can inform proper training protocols and help to redesign tasks and working conditions that are prone to create levels of acute stress that adversely affect human performance.
Show less - Date Issued
- 2011
- Identifier
- CFE0004056, ucf:49151
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0004056
- Title
- More is not always better: Unpacking the cognitive process underlying introspective psychological measurement.
- Creator
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Lapalme, Matthew, Wang, Wei, Fritzsche, Barbara, Jentsch, Florian, University of Central Florida
- Abstract / Description
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For decades, psychometricans have measured non-cognitive constructs with little attention paid to the underlying cognitive processes of response. Previous advancement in psychometrics suggests that traditional cognitive oriented approaches may, in fact, yield construct deficiency and spurious results when applied to non-cognitive measurement. This thesis highlights the importance of specifying an ideal point response process for non-cognitive measurement and empirically demonstrates that an...
Show moreFor decades, psychometricans have measured non-cognitive constructs with little attention paid to the underlying cognitive processes of response. Previous advancement in psychometrics suggests that traditional cognitive oriented approaches may, in fact, yield construct deficiency and spurious results when applied to non-cognitive measurement. This thesis highlights the importance of specifying an ideal point response process for non-cognitive measurement and empirically demonstrates that an ideal point response processes undergirds self-reported personality and attitude measurement. Furthermore, this thesis also advances current understanding on the limitations of ideal point assumptions by exploring the moderating effects of various individual differences in motivation and ability.
Show less - Date Issued
- 2015
- Identifier
- CFE0006223, ucf:51074
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006223
- Title
- Investigating the universality and comprehensive ability of measures to assess the state of workload.
- Creator
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Abich, Julian, Reinerman, Lauren, Lackey, Stephanie, Szalma, James, Taylor, Grant, University of Central Florida
- Abstract / Description
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Measures of workload have been developed on the basis of the various definitions, some are designed to capture the multi-dimensional aspects of a unitary resource pool (Kahneman, 1973) while others are developed on the basis of multiple resource theory (Wickens, 2002). Although many theory based workload measures exist, others have often been constructed to serve the purpose of specific experimental tasks. As a result, it is likely that not every workload measure is reliable and valid for all...
Show moreMeasures of workload have been developed on the basis of the various definitions, some are designed to capture the multi-dimensional aspects of a unitary resource pool (Kahneman, 1973) while others are developed on the basis of multiple resource theory (Wickens, 2002). Although many theory based workload measures exist, others have often been constructed to serve the purpose of specific experimental tasks. As a result, it is likely that not every workload measure is reliable and valid for all tasks, much less each domain. To date, no single measure, systematically tested across experimental tasks, domains, and other measures is considered a universal measure of workload. Most researchers would argue that multiple measures from various categories should be applied to a given task to comprehensively assess workload. The goal for Study 1 to establish task load manipulations for two theoretically different tasks that induce distinct levels of workload assessed by both subjective and performance measures was successful. The results of the subjective responses support standardization and validation of the tasks and demands of that task for investigating workload. After investigating the use of subjective and objective measures of workload to identify a universal and comprehensive measure or set of measures, based on Study 2, it can only be concluded that not one or a set of measures exists. Arguably, it is not to say that one will never be conceived and developed, but at this time, one does not reside in the psychometric catalog. Instead, it appears that a more suitable approach is to customize a set of workload measures based on the task. The novel approach of assessing the sensitivity and comprehensive ability of conjointly utilizing subjective, performance, and physiological workload measures for theoretically different tasks within the same domain contributes to the theory by laying the foundation for improving methodology for researching workload. The applicable contribution of this project is a stepping-stone towards developing complex profiles of workload for use in closed-loop systems, such as human-robot team interaction. Identifying the best combination of workload measures enables human factors practitioners, trainers, and task designers to improve methodology and evaluation of system designs, training requirements, and personnel selection.
Show less - Date Issued
- 2013
- Identifier
- CFE0005119, ucf:50675
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005119