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- Title
- Working Memory Capacity and Executive Attention as Predictors of Distracted Driving.
- Creator
-
Louie, Jennifer, Mouloua, Mustapha, Szalma, James, Smither, Janan, Matthews, Gerald, University of Central Florida
- Abstract / Description
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The present study empirically examined the effects of working memory capacity (WMC) and executive attention on distracted driving. Study 1 examined whether a Grocery List Task (GLT) distractor would load onto WMC. Forty-three participants completed a series of WMC tasks followed by the GLT. They then completed two driving trials: driving without the GLT and driving while completing the GLT. It was hypothesized that WMC would positively correlate with GLT performance. A bivariate correlation...
Show moreThe present study empirically examined the effects of working memory capacity (WMC) and executive attention on distracted driving. Study 1 examined whether a Grocery List Task (GLT) distractor would load onto WMC. Forty-three participants completed a series of WMC tasks followed by the GLT. They then completed two driving trials: driving without the GLT and driving while completing the GLT. It was hypothesized that WMC would positively correlate with GLT performance. A bivariate correlation indicated that WMC was positively associated with performance on the GLT. Study 2 tested a series of distractor tasks (GLT, Tone Monitoring, and Stop Signal) to examine whether these three distractor tasks were also related to WMC, and if each of the distractor tasks would result in poor driving performance. Eighty-four participants were randomly assigned to the distractor conditions. Results indicated that GLT was related to WMC, but Tone Monitoring was not related to WMC. Also, engaging in each of the three distractor tasks led to significantly poorer driving performance. Study 3 evaluated whether rainy or clear weather conditions would affect the relationship between WMC and distracted driving using the same three distractor tasks (GLT, Tone Monitoring, and Stop Signal) as used in Study 2. Ninety-six participants were randomly assigned to the distractor conditions. Results showed that engaging in GLT while driving led to slower braking response times compared to not engaging in GLT driving while driving. Furthermore, WMC moderated the degree to which distraction impaired performance. The present findings clearly indicate that all three distractor tasks had a deleterious effect on driving performance. Furthermore, this effect of distraction on driving depends on many factors, including the type of distraction, the driving performance measure, and the individual's cognitive capabilities. Both theoretical and practical implications are discussed and directions for future research are presented.
Show less - Date Issued
- 2018
- Identifier
- CFE0007042, ucf:51981
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0007042
- Title
- Developing an Insider Threat Experimental Environment.
- Creator
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Ortiz, Eric, Reinerman, Lauren, Matthews, Gerald, Fanfarelli, Joseph, Nicholson, Denise, University of Central Florida
- Abstract / Description
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Simulated, 3D gaming environments have been used for a wide-range of applications including training, entertainment, and experimentation in an assortment of domains for some time. This can be attributed to their unique ability to emulate multifaceted situations that may be difficult to control, while affording participants the opportunity to operate in a relatively safe environment. In cybersecurity research, investigation of insider threat behavior is an endeavor that has received little...
Show moreSimulated, 3D gaming environments have been used for a wide-range of applications including training, entertainment, and experimentation in an assortment of domains for some time. This can be attributed to their unique ability to emulate multifaceted situations that may be difficult to control, while affording participants the opportunity to operate in a relatively safe environment. In cybersecurity research, investigation of insider threat behavior is an endeavor that has received little attention in terms of available environments and resources for experimental manipulation. This research effort aimed to close this gap. A simulated, 3D gaming environment and accompanying scenarios were developed for utilization as a research application for a verification study. These constitute crucial components for proper development of insider threat detection tools and training applications. The aim was to use knowledge of performance, user stress state, and user perceptions of the simulation's graphic and usability qualities to verify the simulation for use in insider threat detection work. The objective of this simulated, 3D gaming environment and scenarios was to serve as a realistic and valid context for the development of insider threat identification methods. The scenario narrative involved a reenactment of computer system exploitation by an employee who is trying to acquire private financial information without authorization. In each scenario, the participant assumed the role of a financial investigator employed at a large financial institution. There were two conditions associated with this verification study (control and insider threat). Participants in the control condition performed all of their tasking as regular bank employees while participants assigned to the insider threat condition had to carry out a portion of their tasking as an insider threat.Findings indicated that participants found the simulated, 3D gaming environment engaging, and the simulations graphics usable and immersive. Additionally, the role manipulation resulted in a significant difference in the time it took to perform critical tasking (tasking that was illicit in the insider threat condition). Role manipulation did not produce significant differences in stress between conditions, but it was influential regarding the perceptions of the stress sources. The results suggest that this simulated, 3D gaming environment meets the needs of insider threat investigation and can be used to advance understanding of the nature of insider threat behavior.
Show less - Date Issued
- 2017
- Identifier
- CFE0007131, ucf:52309
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0007131
- Title
- Examining Energetic and Structural Components of Knowledge of Result Using a Vigilance Paradigm.
- Creator
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Fraulini, Nicholas, Szalma, James, Mouloua, Mustapha, Hancock, Peter, Matthews, Gerald, University of Central Florida
- Abstract / Description
-
Vigilance, or the ability to maintain attention to stimuli over a prolonged period of time (Davies (&) Parasuraman, 1982; Warm (&) Jerison, 1984), has been a troublesome research topic since World War II. Scientists have sought to counteract performance declines in vigilance tasks by training observers on these tasks. Though an extensive literature has been developed to examine the effectiveness of these techniques, the mechanisms by which many forms of vigilance training help performance are...
Show moreVigilance, or the ability to maintain attention to stimuli over a prolonged period of time (Davies (&) Parasuraman, 1982; Warm (&) Jerison, 1984), has been a troublesome research topic since World War II. Scientists have sought to counteract performance declines in vigilance tasks by training observers on these tasks. Though an extensive literature has been developed to examine the effectiveness of these techniques, the mechanisms by which many forms of vigilance training help performance are largely unknown. The present dissertation seeks to further the understanding of how two forms of training for vigilance, practice and knowledge of result, function to improve observers' ability to remain vigilant as time on task increases. In addition to understanding these forms of training, this dissertation seeks to develop a training protocol that would train observers for vigilance without adversely affecting their cognitive resources. Finally, this dissertation utilizes this new training protocol to examine the potential for transfer of training, which has been a question for vigilance researchers for decades. Results relating to these three research questions are presented, as well as a discussion of how these results may inform or influence vigilance research in the future.
Show less - Date Issued
- 2017
- Identifier
- CFE0006876, ucf:51746
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006876
- Title
- Beyond Compliance: Examining the Role of Motivation in Vigilance Performance.
- Creator
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Dewar, Alexis, Szalma, James, Sims, Valerie, Hancock, Peter, Matthews, Gerald, University of Central Florida
- Abstract / Description
-
Vigilance, or sustained attention, is the capacity to attend to information for a prolonged period of time (Davies (&) Parasuraman, 1982; Jerison, 1970; Warm, 1977). Due to limitations of the human nervous system, as well as the environmental context, attention can begin to wane over time. This results in a phenomenon referred to as the vigilance decrement, or a decline in vigilance performance as a function of time. The vigilance decrement can manifest as poorer attention and is thusly...
Show moreVigilance, or sustained attention, is the capacity to attend to information for a prolonged period of time (Davies (&) Parasuraman, 1982; Jerison, 1970; Warm, 1977). Due to limitations of the human nervous system, as well as the environmental context, attention can begin to wane over time. This results in a phenomenon referred to as the vigilance decrement, or a decline in vigilance performance as a function of time. The vigilance decrement can manifest as poorer attention and is thusly associated with poor performance, which is defined behaviorally as more lapses in the detection of critical signals and an increase in response time to these signals during watch. Given this, the present dissertation seeks to systematically examine the impact of two types of motivation (i.e., achievement motivation, autonomous motivation) on vigilance performance across four experiments. The present experiments manipulate information processing type, source complexity, and motivational task demands. Three hundred and ninety-eight participants completed either a cognitive task or sensory task, which were psychophysically equated in previous studies (Szalma (&) Teo, 2012; Teo, Szalma, (&) Schmidt, 2011), with or without motivational instructions, and with either low, medium, or high source complexity. Performance measures, perceived stress and workload, and changes to state motivation and engagement at pre-task and post-task are interpreted across three theories of information processing: resource-depletion theory, mind-wandering theory, and mindlessness theory. The results of each of the four studies are discussed in terms of overall support for the resource-depletionist account. The limitations of the present set of experiments and the future directions for research on motivation and sustained attention are also discussed.
Show less - Date Issued
- 2017
- Identifier
- CFE0006582, ucf:51312
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006582
- Title
- The Impact of Automation and Stress on Human Performance in UAV Operation.
- Creator
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Lin, Jinchao, Matthews, Gerald, Reinerman, Lauren, Szalma, James, Funke, Gregory, University of Central Florida
- Abstract / Description
-
The United States Air Force (USAF) has increasing needs for unmanned aerial vehicle (UAV) operators. Automation may enable a single operator to manage multiple UAVs at the same time. Multi-UAV operation may require a unique set of skills and the need for new operators calls for targeting new populations for recruitment. The objective of this research is to develop a simulation environment for studying the role of individual differences in UAV operation under different task configurations and...
Show moreThe United States Air Force (USAF) has increasing needs for unmanned aerial vehicle (UAV) operators. Automation may enable a single operator to manage multiple UAVs at the same time. Multi-UAV operation may require a unique set of skills and the need for new operators calls for targeting new populations for recruitment. The objective of this research is to develop a simulation environment for studying the role of individual differences in UAV operation under different task configurations and investigate predictors of performance and stress. Primarily, the study examined the impact of levels of automation (LOAs), as well as task demands, on task performance, stress and operator reliance on automation. Two intermediate LOAs were employed for two surveillance tasks included in the simulation of UAV operation. Task demand was manipulated via the high and low frequency of events associated with additional tasks included in the simulation. The task demand and LOA manipulations influenced task performance generally as expected. The task demand manipulations elicited higher subjective distress and workload. LOAs did not affect operator workload but affected reliance behavior. Also, this study examined the role of individual differences in simulated UAV operation. A variety of individual difference factors were associated with task performance and with subjective stress response. Video gaming experience was linked to lower distress and better performance, suggesting possible transfer of skills. Some gender differences were revealed in stress response, task performance, but all the gender effects became insignificant with gaming experience controlled. Generally, the effects of personality were consistent with previous studies, except some novel findings with the performance metrics. Additionally, task demand was found to moderate the influence of personality factors on stress response and performance metrics. Specifically, conscientiousness was associated with higher subjective engagement and performance when demands were higher. This study supports future research which aims to improve the dynamic interfaces in UAV operation, optimize operator reliance on automation, and identify individuals with the highest aptitude for multi-UAV control.
Show less - Date Issued
- 2017
- Identifier
- CFE0006951, ucf:51630
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006951
- Title
- Psychophysiology meets computer science: predicting the magnitude of participant physiological response with machine learning.
- Creator
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Parchment, Avonie, Wiegand, Rudolf, Matthews, Gerald, Yan, Xin, Abich, Julian, Greenwood-Ericksen, Adams, University of Central Florida
- Abstract / Description
-
The present inquiry uses methods from psychophysiology and machine learning to reduce overall error in classification models. The field of psychophysiology, though rooted in decades of experimentation, has never reached the same level of precision as some aspects of medical inquiry. In fact, while some medical regression models, when determining some way to classify a patient's illness based on certain symptoms, can result in highly significant results with large effect sizes, equal levels...
Show moreThe present inquiry uses methods from psychophysiology and machine learning to reduce overall error in classification models. The field of psychophysiology, though rooted in decades of experimentation, has never reached the same level of precision as some aspects of medical inquiry. In fact, while some medical regression models, when determining some way to classify a patient's illness based on certain symptoms, can result in highly significant results with large effect sizes, equal levels are virtually unheard of in psychophysiology. The present investigation attempts to unravel some part of this mystery and determines some possible reasons for the difficulty in finding similar effect sizes, especially concerning methods that match participant state with physiological response. Of particular focus are two areas: baseline research and experimental data analysis methods. The role of baselining techniques in relation to overall quality of response is the first emphasis and this interest stems from the Law of Initial Value that indicates some relationship between baseline and experimental response. Though this relationship has been continually investigated and found to be lacking for many physiological measures, experimental condition heart rate response has been consistently shown to rely heavily on baseline response. This finding influences the second half of the present inquiry, which deals with the overall analysis of experimental data and the role that traditional statistics could play in the present problem. By comparing logistic regression and support vector models, it is expected that researchers would use the preferred method, based on their goals, to flag potentially highly influential cases that may greatly skew data and make modeling difficult. Additionally, demographic characteristics that could also help identify these influential cases in the future before modeling are shown.
Show less - Date Issued
- 2018
- Identifier
- CFE0007355, ucf:52106
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0007355
- Title
- An Exploration of the Feasibility of Functional Near-Infrared Spectroscopy as a Neurofeedback Cueing System for the Mitigation of the Vigilance Decrement.
- Creator
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Hancock, Gabriella, Szalma, James, Mouloua, Mustapha, Bohil, Corey, Hoffman, Robert, Matthews, Gerald, University of Central Florida
- Abstract / Description
-
Vigilance is the capacity for observers to maintain attention over extended periods of time, and has most often been operationalized as the ability to detect rare and critical signals (Davies (&) Parasuraman, 1982; Parasuraman, 1979; Warm, 1984). Humans, however, have natural physical and cognitive limitations that preclude successful long-term vigilance performance and consequently, without some means of assistance, failures in operator vigilance are likely to occur. Such a decline in...
Show moreVigilance is the capacity for observers to maintain attention over extended periods of time, and has most often been operationalized as the ability to detect rare and critical signals (Davies (&) Parasuraman, 1982; Parasuraman, 1979; Warm, 1984). Humans, however, have natural physical and cognitive limitations that preclude successful long-term vigilance performance and consequently, without some means of assistance, failures in operator vigilance are likely to occur. Such a decline in monitoring performance over time has been a robust finding in vigilance experiments for decades and has been called the vigilance decrement function (Davies (&) Parasuraman, 1982; Mackworth, 1948). One of the most effective countermeasures employed to maintain effective performance has been cueing: providing the operator with a reliable prompt concerning signal onset probability. Most protocols have based such cues on task-related or environmental factors. The present dissertation examines the efficacy of cueing when nominally based on operator state (i.e., blood oxygenation of cortical tissue) in a novel vigilance task incorporating dynamic displays over three studies. Results pertaining to performance outcomes, physiological measures (cortical blood oxygenation and heart rate variability), and perceived workload and stress are interpreted via Signal Detection Theory and the Resource Theory of vigilance.
Show less - Date Issued
- 2017
- Identifier
- CFE0006599, ucf:51286
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006599
- Title
- Enhancing the effectiveness of Human-Robot teaming with a closed-loop system.
- Creator
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Teo, Grace, Szalma, James, Jentsch, Florian, Hancock, Peter, Matthews, Gerald, Reinerman, Lauren, University of Central Florida
- Abstract / Description
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With the development in robotics and the increasing deployment of robots, human-robot teams are set to be a mainstay in the future. However, our understanding of the effectiveness and impact of this new form of teaming is limited. Previous experience with technology and automa-tion has shown that technological aids do not always result in the intended consequences of im-proved performance and alleviation of workload and stress. No doubt a large part of this is due to the fact that the...
Show moreWith the development in robotics and the increasing deployment of robots, human-robot teams are set to be a mainstay in the future. However, our understanding of the effectiveness and impact of this new form of teaming is limited. Previous experience with technology and automa-tion has shown that technological aids do not always result in the intended consequences of im-proved performance and alleviation of workload and stress. No doubt a large part of this is due to the fact that the relationships among taskload, workload and performance are complex as hu-man operators interact dynamically with tasks and technology. Measures of workload are also varied and differentially sensitive. There is also the added challenge posed by multi-tasking envi-ronments which typify most real-world situations. Given all this, efforts in designing technologi-cal aids, such as an adaptive robot aid in the context of human-robot teaming, would require a workload model that reflects the intricate relationship between taskload and the individual opera-tor's experience of workload. Such a model can then be used to drive a closed-loop system on which adaptive robot aiding can be based. The present research sought to investigate the effec-tiveness of a closed-loop system, based on a model of workload, in enhancing performance in a simulated military mission involving a human-robot team. Results showed that adaptive robot aid driven by workload needs as assessed by physiological measures resulted in greater improve-ments in performance compared to robot aid that was imposed by the system.
Show less - Date Issued
- 2015
- Identifier
- CFE0006403, ucf:51485
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006403
- Title
- The Impact of Automation Reliability and Fatigue on Reliance.
- Creator
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Wohleber, Ryan, Matthews, Gerald, Reinerman, Lauren, Szalma, James, Funke, Gregory, Jentsch, Florian, University of Central Florida
- Abstract / Description
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The objective of this research is to inform th(&)#172;(&)#172;e design of dynamic interfaces to optimize unmanned aerial vehicle (UAV) operator reliance on automation. A broad goal of the U.S. military is to improve the ratio of UAV operators to UAVs controlled. Accomplishing this goal requires the use of automation; however, the benefits of automation are jeopardized without appropriate operator reliance. To improve reliance on automation, this effort sought to accomplish several objectives...
Show moreThe objective of this research is to inform th(&)#172;(&)#172;e design of dynamic interfaces to optimize unmanned aerial vehicle (UAV) operator reliance on automation. A broad goal of the U.S. military is to improve the ratio of UAV operators to UAVs controlled. Accomplishing this goal requires the use of automation; however, the benefits of automation are jeopardized without appropriate operator reliance. To improve reliance on automation, this effort sought to accomplish several objectives organized into phases. The first phase aimed to validate metrics that could be used to gauge operator fatigue online, to understand how the reliability of automated systems influences subjective and objective responses, and to understand how the impact of automation reliability changes with different levels of fatigue. To that end, this study employed a multiple UAV simulation containing several tasks. Findings for a challenging Image Analysis task indicated a decrease in accuracy and reliance with time. Both accuracy and reliance were lower with an unreliable automated decision making aid (60% reliability) than with a reliable automated decision making aid (86.7% reliability). Further, a significant interaction indicated that reliance diminished more quickly when the automated aid was less reliable. Concerning the identification of possible eye tracking measures for fatigue, metrics for percentage of eye closure (PERCLOS), blinks, fixations, and dwell time registered changes with time on task. Fixation metrics registered reliability differences. The second phase sought to use outcomes from the first phase to build two algorithms, based on eye tracking, to drive continuous diagnostic monitoring, one simple and another complex. These algorithms were intended to diagnose the passive fatigue state of UAV operators and used subjective task engagement as the dependent variable. The simple algorithm used PERCLOS and total dwell time within the automated tasking area. The complex algorithm added percent of cognitive fixations and frequency of express fixations. The complex algorithm successfully predicted task engagement, primarily on the strength of percentage of cognitive fixations and express fixation frequency metrics.
Show less - Date Issued
- 2016
- Identifier
- CFE0006548, ucf:51323
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006548
- Title
- Instructional Strategies for Scenario-Based Training of Human Behavior Cue Analysis with Robot-Aided Intelligence, Surveillance, Reconnaissance.
- Creator
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Salcedo, Julie, Lackey, Stephanie, Reinerman, Lauren, Barber, Daniel, Kincaid, John, Matthews, Gerald, University of Central Florida
- Abstract / Description
-
The U.S. Army desires to improve safety during Intelligence, Surveillance, Reconnaissance (ISR) operations by removing Warfighters from direct line-of-fire by enhancing ISR operational capabilities with unmanned systems, also known as Robot-Aided ISR (RAISR) (DOD, 2013). Additionally, RAISR presents an opportunity to fulfill ISR capability requirements of modern combat environments including: detection of High-Value Individuals (HVI) from safer distances, identification of baseline behavior,...
Show moreThe U.S. Army desires to improve safety during Intelligence, Surveillance, Reconnaissance (ISR) operations by removing Warfighters from direct line-of-fire by enhancing ISR operational capabilities with unmanned systems, also known as Robot-Aided ISR (RAISR) (DOD, 2013). Additionally, RAISR presents an opportunity to fulfill ISR capability requirements of modern combat environments including: detection of High-Value Individuals (HVI) from safer distances, identification of baseline behavior, and interpretation of adversarial intent (U.S. Army, 2008). Along with the demand and projected acquisition of RAISR technology, there is the added need to design training requirements for system operation and task execution instruction. While documentation identifying specific training standards and objectives for ISR tasks utilizing unmanned systems is limited (DOD, 2013), simulation-based training has been identified as a critical training medium for RAISR (U.S. Army, 2008). ISR analysts will primarily conduct RAISR tasks via Indirect Vision Displays (IVD) which transition well into multimodal simulations (Salcedo, Lackey, (&) Maraj, 2014). However, simulation alone may not fulfill the complex training needs of RAISR tasks, therefore, incorporating instructional support may improve the effectiveness of training (Oser, Gualtieri, Cannon-Bowers, (&) Salas, 1999). One method to accomplish this is to utilize a Scenario-Based Training (SBT) framework enhanced with instructional strategies to target specific training objectives.The purpose for the present experiment was to assess the effectiveness of SBT enhanced with selected instructional strategies for a PC-based RAISR training simulation. The specific task type was the identification of HVIs within a group through behavior cue analysis. The instructional strategies assessed in this experiment, Highlighting and Massed Exposure, have shown to improve attentional weighting, visual search, and pattern recognition skills, which are critical for successful behavior cue analysis. Training effectiveness was evaluated by analyzing the impact of the instructional strategies on performance outcomes, including detection accuracy, classification accuracy, and median response time, and perceptions of the level of engagement, immersion, and presence during training exercises. Performance results revealed that the Massed Exposure strategy produced significantly faster response times for one subtle and one familiar target behavior cue. Perception results indicated that Highlighting was the least challenging instructional strategy and the Control offered the preferred level of challenge. The relationships between performance and perception measures revealed that higher levels of engagement, immersion, and presence were associated with better performance in the Control, but this trend did not always hold for Massed Exposure and Highlighting. Furthermore, presence emerged as the primary predictor of performance for select target behavior cues in the Control and Massed Exposure conditions, while immersion and engagement predicted performance of select cues in the Highlighting condition. The findings of the present experiment point to the potential benefit of SBT instructional strategies to improve effectiveness of simulation-based training for behavior cue analysis during RAISR operations. Specifically, the findings suggest that the Massed Exposure strategy has the potential to improve response time when detecting both familiar and novel targets. The results also highlight directions for future research to investigate methods to alter instructional strategy design and delivery in order to improve trainee perceptions of the instruction.
Show less - Date Issued
- 2014
- Identifier
- CFE0005705, ucf:50151
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005705