Current Search:  Physiological Measurement (x)

View All Items

  • CSV Spreadsheet
(1 - 4 of 4)
NONINVASIVE PHYSIOLOGICAL MEASURES AND WORKLOAD TRANSITIONS:AN INVESTIGATION OF THRESHOLDS USING MULTIPLE SYNCHRONIZED SENSORS
Title
NONINVASIVE PHYSIOLOGICAL MEASURES AND WORKLOAD TRANSITIONS:AN INVESTIGATION OF THRESHOLDS USING MULTIPLE SYNCHRONIZED SENSORS.
Creator
Sciarini, Lee, Nicholson, Denise, University of Central Florida
Abstract / Description
The purpose of this study is to determine under what conditions multiple minimally intrusive physiological sensors can be used together and validly applied for use in areas which rely on adaptive systems including adaptive automation and augmented cognition. Specifically, this dissertation investigated the physiological transitions of operator state caused by changes in the level of taskload. Three questions were evaluated including (1) Do differences exist between physiological indicators...
Show moreThe purpose of this study is to determine under what conditions multiple minimally intrusive physiological sensors can be used together and validly applied for use in areas which rely on adaptive systems including adaptive automation and augmented cognition. Specifically, this dissertation investigated the physiological transitions of operator state caused by changes in the level of taskload. Three questions were evaluated including (1) Do differences exist between physiological indicators when examined between levels of difficulty? (2) Are differences of physiological indicators (which may exist) between difficulty levels affected by spatial ability? (3) Which physiological indicators (if any) account for variation in performance on a spatial task with varying difficulty levels? The Modular Cognitive State Gauge model was presented and used to determine which basic physiological sensors (EEG, ECG, EDR and eye-tracking) could validly assess changes in the utilization of two-dimensional spatial resources required to perform a spatial ability dependent task. Thirty-six volunteers (20 female, 16 male) wore minimally invasive physiological sensing devices while executing a challenging computer based puzzle task. Specifically, participants were tested with two measures of spatial ability, received training, a practice session, an experimental trial and completed a subjective workload survey. The results of this experiment confirmed that participants with low spatial ability reported higher subjective workload and performed poorer when compared to those with high spatial ability. Additionally, there were significant changes for a majority of the physiological indicators between two difficulty levels and most importantly three measures (EEG, ECG and eye-tracking) were shown to account for variability in performance on the spatial task.
Show less
Date Issued
2009
Identifier
CFE0002781, ucf:48108
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0002781
Enhancing the effectiveness of Human-Robot teaming with a closed-loop system
Title
Enhancing the effectiveness of Human-Robot teaming with a closed-loop system.
Creator
Teo, Grace, Szalma, James, Jentsch, Florian, Hancock, Peter, Matthews, Gerald, Reinerman, Lauren, University of Central Florida
Abstract / Description
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
Fire safety and emergency evacuation training for occupants of building using 3D virtual simulation
Title
Fire safety and emergency evacuation training for occupants of building using 3D virtual simulation.
Creator
Bhide, Sayli, Rabelo, Luis, Lee, Gene, McCauley, Pamela, Ahmad, Ali, University of Central Florida
Abstract / Description
With advancement in technology, building structures are becoming bigger and more complex. Incidences of horrifying fires that occur in such complex structures resulting in loss of property as well as lives are recorded worldwide. Emergency evacuation training can play a crucial role in mitigating damage not only in cases of fire, explosion or chemical spill but also in cases of natural calamities like floods and hurricanes. Conventional safety training provided in industries mostly comprises...
Show moreWith advancement in technology, building structures are becoming bigger and more complex. Incidences of horrifying fires that occur in such complex structures resulting in loss of property as well as lives are recorded worldwide. Emergency evacuation training can play a crucial role in mitigating damage not only in cases of fire, explosion or chemical spill but also in cases of natural calamities like floods and hurricanes. Conventional safety training provided in industries mostly comprises of unidirectional flow of information. Due to this passive learning style, response of employees in real life emergency situations is known to be ineffective. The proposed research focuses on the development of virtual emergency evacuation safety training for residents, workers and employees. This research developed a 3 dimensional (3D) virtual fire safety and emergency evacuation training for building occupants. A 3D model of a real engineering college building in the University of Central Florida (UCF) was developed in a virtual world and participants could interact with various objects and scenarios in this virtual building on a standard desktop computer using keyboard and mouse. Expert interviews and literature review were utilized to develop contents of fire safety and emergency evacuation training. Also, a slide based fire safety and emergency evacuation training was developed based on same contents and made available through a website. An effort was made to develop both trainings- virtual and slide based to be comparable in terms of contents. A case study with two sets of experiments comprising of 143 participants from UCF community was conducted to understand factors such as fidelity, simulation sickness, engagement and effectiveness of 3D virtual and slide based fire safety and emergency evacuation training. Results of fidelity and simulation sickness validated use of 3D virtual training for training building residents on fire safety and emergency evacuation. Data analysis of knowledge tests allowed to compare short terms and long term effectiveness of 3D virtual training and slide based training. To further understand engagement, physiological measure- electroencephalograph (EEG) of 40 healthy participants was recorded in second set of experiments. Ratio of Beta and Alpha frequency bands was studied to understand attention paid by trainees in 3D virtual and slide based training.
Show less
Date Issued
2017
Identifier
CFE0006935, ucf:51647
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0006935
An investigation of physiological measures in a marketing decision task
Title
An investigation of physiological measures in a marketing decision task.
Creator
Lerma, Nelson, Karwowski, Waldemar, Elshennawy, Ahmad, Xanthopoulos, Petros, Reinerman, Lauren, University of Central Florida
Abstract / Description
The objective of the present study was to understand the use of physiological measures as an alternative to traditional market research tools, such as self-reporting measures and focus groups. For centuries, corporations and researchers have relied almost exclusively on traditional measures to gain insights into consumer behavior. Oftentimes, traditional methods have failed to accurately predict consumer demand, and this has prompted corporations to explore alternative methods that will...
Show moreThe objective of the present study was to understand the use of physiological measures as an alternative to traditional market research tools, such as self-reporting measures and focus groups. For centuries, corporations and researchers have relied almost exclusively on traditional measures to gain insights into consumer behavior. Oftentimes, traditional methods have failed to accurately predict consumer demand, and this has prompted corporations to explore alternative methods that will accurately forecast future sales. One the most promising alternative methods currently being investigated is the use of physiological measures as an indication of consumer preference. This field, also referred to as neuromarketing, has blended the principles of psychology, neuroscience, and market research to explore consumer behavior from a physiological perspective. The goal of neuromarketing is to capture consumer behavior through the use of physiological sensors. This study investigated the extent to which physiological measures where correlated to consumer preferences by utilizing five physiological sensors which included two neurological sensors (EEG and ECG) two hemodynamic sensors (TCD and fNIR) and one optic sensor (eye-tracking). All five physiological sensors were used simultaneously to capture and record physiological changes during four distinct marketing tasks. The results showed that only one physiological sensor, EEG, was indicative of concept type and intent to purchase. The remaining four physiological sensors did not show any significant differences for concept type or intent to purchase.Furthermore, Machine Learning Algorithms (MLAs) were used to determine the extent to which MLAs (Na(&)#239;ve Bayes, Multilayer Perceptron, K-Nearest Neighbor, and Logistic Regression) could classify physiological responses to self-reporting measures obtained during a marketing task. The results demonstrated that Multilayer Perceptron, on average, performed better than the other MLAs for intent to purchase and concept type. It was also evident that the models faired best with the most popular concept when categorizing the data based on intent to purchase or final selection. Overall, the four models performed well at categorizing the most popular concept and gave some indication to the extent to which physiological measures are capable of capturing intent to purchase. The research study was intended to help better understand the possibilities and limitations of physiological measures in the field of market research. Based on the results obtained, this study demonstrated that certain physiological sensors are capable of capturing emotional changes, but only when the emotional response between two concepts is significantly different. Overall, physiological measures hold great promise in the study of consumer behavior, providing great insight on the relationship between emotions and intentions in market research.
Show less
Date Issued
2015
Identifier
CFE0006345, ucf:51563
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0006345