Psychology Commons^™

Long-Term Variation Of Summer Phytoplankton Communities In An Urban Lake In Relation To Lake Management And Climate Conditions, Yuan Xiao Grund

Dissertations and Theses

Eutrophication is one of the primary factors causing harmful cyanobacteria blooms in freshwater lakes; climate change such as warmer temperature can potentially further increase both frequency and intensity of blooms. This study investigated the long-term changes in water quality and summer phytoplankton assemblages in Oswego Lake, OR, in relation to lake management practices (e.g., hypolimnetic aeration and alum treatments), as well as climatic and regional meteorological conditions. Both water quality and phytoplankton assemblages were sampled biweekly during summer seasons between 2001 and 2013. The concentrations of total phosphorus (TP), soluble reactive phosphorus (SRP) and total nitrogen (TN) decreased 66%, 93% …

Triple Bottom Line As A Method To Increase Business Value And Foster Positive Social And Environmental Change, Jayleene West

Master's Theses

The Triple Bottom Line (TBL) business model has transformed the business world by changing the way businesses operate. By focusing on the people and the environment, businesses have grown to see substantial profit and avoid risks along the way. Companies are using the TBL to build their brand and customer loyalty by enhancing the environment and society. This paper analyzes four companies that are leaders in their industry and are founded on the TBL; Seventh Generation, New Belgium Brewing, Patagonia, and Ben & Jerry’s. Recommendations have been made by performing a literature review on the advantages and disadvantages of the …

An Introduction To Psychological Statistics, Garett C. Foster, David Lane, David Scott, Mikki Hebl, Rudy Guerra, Dan Osherson, Heidi Zimmer

Open Educational Resources Collection

This work has been superseded by Introduction to Statistics in the Psychological Sciences available from https://irl.umsl.edu/oer/25/.

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We are constantly bombarded by information, and finding a way to filter that information in an objective way is crucial to surviving this onslaught with your sanity intact. This is what statistics, and logic we use in it, enables us to do. Through the lens of statistics, we learn to find the signal hidden in the noise when it is there and to know when an apparent trend or pattern is really just randomness. The study of statistics involves math and relies …

Exploring The Neural Mechanisms Of Physics Learning, Jessica E. Bartley

FIU Electronic Theses and Dissertations

This dissertation presents a series of neuroimaging investigations and achievements that strive to deepen and broaden our understanding of human problem solving and physics learning. Neuroscience conceives of dynamic relationships between behavior, experience, and brain structure and function, but how neural changes enable human learning across classroom instruction remains an open question. At the same time, physics is a challenging area of study in which introductory students regularly struggle to achieve success across university instruction. Research and initiatives in neuroeducation promise a new understanding into the interactions between biology and education, including the neural mechanisms of learning and development. These …

Emotion Recognition Using Deep Convolutional Neural Network With Large Scale Physiological Data, Astha Sharma

USF Tampa Graduate Theses and Dissertations

Classification of emotions plays a very important role in affective computing and has real-world applications in fields as diverse as entertainment, medical, defense, retail, and education. These applications include video games, virtual reality, pain recognition, lie detection, classification of Autistic Spectrum Disorder (ASD), analysis of stress levels, and determining attention levels. This vast range of applications motivated us to study automatic emotion recognition which can be done by using facial expression, speech, and physiological data.

A person’s physiological signals such are heart rate, and blood pressure are deeply linked with their emotional states and can be used to identify a …

Information Privacy Concerns In The Age Of Internet Of Things, Madhav Sharma, David Biros

KSU Proceedings on Cybersecurity Education, Research and Practice

Internet of things (IoT) offer new opportunities for advancement in many domains including healthcare, home automation, manufacturing and transportation. In recent years, the number of IoT devices have exponentially risen and this meteoric rise is poised to continue according to the industry. Advances in the IoT integrated with ambient intelligence are intended to make our lives easier. Yet for all these advancements, IoT also has a dark side. Privacy and security were already priorities when personal computers, devices and work stations were the only point of vulnerability to personal information, however, with the ubiquitous nature of smart technologies has increased …

Aviation Weather Education: Challenges Using Current Faa Guidance, Thomas A. Guinn, Robert Thomas

Aviation Weather Training Research

Observed Challenges

• Incorrect product information
• Guidance not keeping pace with new products
• Multiple formats of same product
• Potentially unnecessary information
• Missing product information
• Limited focus on interpretation

Challenges For Flight Instructors Teaching Weather Information, Robert Thomas, Thomas A. Guinn

Aviation Weather Training Research

• Flight Instructors face a challenge when teaching/learning weather information
• Multiple overlapping resources for aviation weather
• AC takes longer timeframe to update –problem for quick updates of information

Interpreting Aviation Weather Products: Follow-Up Study With Aopa Members, Beth Blickensderfer, Thomas A. Guinn, Thomas Bob, Jayde King, Yolanda Ortiz, Nick Defilippis, Quirijn Berendschot, Jacqueline Mcsorley

General Aviation Weather Display Interpretation

Purpose

• Use the questions we developed in Phase I
• Include pilots that are more representative of GA (age, flight hours/experience); Collaborate with AOPA
• Examine: Knowledge about aviation weather products; Differences between levels of flight certificate and/or ratings

Assessing Ga Pilots' Preflight Weather Planning Mental Models, Yolanda Ortiz, Beth Blickensderfer, Thomas A. Guinn

General Aviation Weather Display Interpretation

Purpose, To assess GA Pilots' ability to:

• Obtain the Appropriate Weather Information
• Interpret the Data
• Apply the Information to a Given Flight Route

Discrete Information Object Analysis Of Primary Flight Display Clutter, Kenneth Ward

National Training Aircraft Symposium (NTAS)

Modern aircraft utilize digital display screens to provide critical flight and system status information to pilots. As computing power has increased, the number of data sources and information presented has also increased, with the goal of increasing situational awareness. However, the display can become cluttered with extraneous or irrelevant information, to the detriment of pilot cognitive workload. Pilot perceptions of clutter vary with flight experience, introducing unique considerations in the flight training environment, given the experience difference between instructors and students. Researchers have studied the problem, identifying both the number of visual objects and information density as predictors of perception …

Bubble Stream Production By Belugas (Delphinapterus Leucas), Megan Slack

Theses

Bubble stream production in belugas has been poorly characterized and its function is not well understood. I examined behavioral states when producing bubble streams (“bubbling”), and when bubbling calls, to determine whether bubbling was significantly associated with a particular call category or behavioral state. Using 19 hours of video and audio recordings collected over a two-day period, I quantified bubble streams of a 4-month old calf and an unrelated adult female housed together. Based on the overall activity budgets and pool of vocalizations for both animals, I calculated the expected counts of bubble streams with and without vocalizations, assuming that …

Juvenile Hackers: An Empirical Test Of Self-Control Theory And Social Bonding Theory, Sinchul Back, Sadhika Soor, Jennifer Laprade

International Journal of Cybersecurity Intelligence & Cybercrime

In accordance with a similar growth in information technology, computer hacking has become a pervasive issue as a form of crime worldwide in recent years. Self-control theory and social bonding theory have frequently been employed to explain various types of crimes, but rarely to explore computer hacking. Drawing from Gottfredson and Hirschi’s (1990) self-control theory and Hirschi’s (1969) social bonding theory, the purpose of this study is to empirically examine the suitability of these two theories in explaining juvenile computer hacking offenses. The self-report survey data utilized for the present study was derived from middle school and high school students …

Architecture Of Aggression In Cyberspace. Testing Cyber Aggression In Young Adults In Hungary, Katalin Parti, Tibor Kiss, Gergely Koplányi

International Journal of Cybersecurity Intelligence & Cybercrime

In order to test whether and how violence is exacerbated in online social networking sites, we utilized the BryantSmith Aggression Scale (Bryant & Smith, 2001), and included examples in the questionnaire offering solutions for 7 different hypothetical cases occurring online (Kiss, 2017). The questionnaire was sent to social work and law school students in Hungary. Prevalence and levels of aggression and its manifestation as violence online proved to be not more severe than in offline social relations. Law students were more aware than students of social work that online hostile acts are discrediting. Students of social work were significantly more …

Warning Confidence And Perceptions Of Lava Flow Hazard Diversion Strategies At Kīlauea And Mauna Loa Volcanoes, Hawai‘I, Ashleigh Reeves

Electronic Theses and Dissertations

The 2014-15 lava flow crisis at Kīlauea volcano, Hawai‘i and post-September 2015 elevated unrest at adjacent Mauna Loa volcano provided opportunities to assess households’ psychological and behavioral responses to different levels of volcanic activity. Weused the Protective Action Decision Model to examine stakeholder perceptions and confidence in warnings, in addition toattitudes toward lava flow mitigation strategies, such as diversion by berms and bombing, and people’s acceptance of additional risk to personal property in exchange for protecting important elements of their community, such as schools, major roads, electrical substation, and shopping centers. Respondents’ confidence in events important in decision-making during emergencies …

Thing-Makers, Tool Freaks And Prototypers: How The Whole Earth Catalog’S Optimistic Message Reinvented The Environmental Movement In 1968, Andy Kirk

History Faculty Research

In the fall of 1968 a Stanford-trained biologist, organizer of the legendary Trips Festival and Merry Prankster named Stewart Brand published the first Whole Earth Catalog. Between 1968 and 1972, the Catalog reached millions of readers and won the National Book Award. The title and iconic cover image of this counterculture classic celebrated the first publicly released NASA photographs showing the whole planet Earth from space. These images profoundly changed the way humans thought about the environment. And the Catalog played an important role in that change.

Towards Predicting Risky Behavior Among Veterans With Ptsd By Analyzing Gesture Patterns, Tanvir Roushan

Master's Theses (2009 -)

Risky behavior including violence and aggression, self-injury, anger outburst, domestic violence along with self-injury, sexual abuse, rule breaking, use of drugs and alcohol, suicide etc. are alarming issues among US military veterans who return from combat zone deployment in Iraq and Afghanistan. Veterans are exposed to trauma in war zones which affect most of them with posttraumatic stress disorder (PTSD) or other metal health problems to some degree. Studies have shown that veterans have much higher rates of PTSD than civilians and are more likely to engage in risky behavior. One of the form of displaying and engaging in risky …

Using Eeg-Validated Music Emotion Recognition Techniques To Classify Multi-Genre Popular Music For Therapeutic Purposes, Dejoy Shastikk Kumaran

The International Student Science Fair 2018

Music is observed to possess significant beneficial effects to human mental health, especially for patients undergoing therapy and older adults. Prior research focusing on machine recognition of the emotion music induces by classifying low-level music features has utilized subjective annotation to label data for classification. We validate this approach by using an electroencephalography-based approach to cross-check the predictions of music emotion made with the predictions from low-level music feature data as well as collected subjective annotation data. Collecting 8-channel EEG data from 10 participants listening to segments of 40 songs from 5 different genres, we obtain a subject-independent classification accuracy …

Applying Conditional Distributions To Individuals: Using Latent Variable Models, Feng Ji

Theses and Dissertations

This study proposes a new method to interpret individual results of psychological test batteries. The Mahalanobis distance is a commonly-used measure of how unusual an individual’s profile of scores is compared to a population of score profiles. In models in which there is a set of predictors and a set of dependent variables (e.g., cognitive abilities predicting academic abilities), it is useful to distinguish between a profile of dependent scores that is unusual because its profile of predictor scores is unusual and a profile of dependent scores that is unusual even after controlling for the predictors. The conditional Mahalanobis distance …

Using Eeg-Validated Music Emotion Recognition Techniques To Classify Multi-Genre Popular Music For Therapeutic Purposes, Dejoy Shastikk Kumaran

The International Student Science Fair 2018

Music is observed to possess significant beneficial effects to human mental health, especially for patients undergoing therapy and older adults. Prior research focusing on machine recognition of the emotion music induces by classifying low-level music features has utilized subjective annotation to label data for classification. We validate this approach by using an electroencephalography-based approach to cross-check the predictions of music emotion made with the predictions from low-level music feature data as well as collected subjective annotation data. Collecting 8-channel EEG data from 10 participants listening to segments of 40 songs from 5 different genres, we obtain a subject-independent classification accuracy …

Mind The Gap: Situated Spatial Language A Case-Study In Connecting Perception And Language, John D. Kelleher

Other

This abstract reviews the literature on computational models of spatial semantics and the potential of deep learning models as an useful approach to this challenge.

Self-Coaching With Ai: Developing Thinking Skills, Thinking Dispositions, And Well-Being, Olivier Malafronte, Isla Reddin, Roy Van Den Brink-Budgen

ICOT 18 - International Conference on Thinking - Cultivating Mindsets for Global Citizens

Being motivated by the need to address the challenges of our Volatile Uncertain Complex Ambiguous world, we strive to create tools to improve people’s lives and help them become more resilient, resourceful, self-confidant, and successful.

In a digital world, we must understand how to efficiently connect to digital systems. Connecting “with AI” doesn’t mean spending more time on digital devices, but spending time in a deliberate way with purpose and intentional learning outcomes.

As a society, we want to see graduates with emotional intelligence and reflective skills in order to address global economic and social issues. As for jobs …

Measuring Symmetry In Real-World Scenes Using Derivatives Of The Medial Axis Radius Function, Morteza Rezanejad, John D. Wilder, Kaleem Siddiqi, Sven Dickinson, Allan Jepson, Dirk B. Walther

MODVIS Workshop

Symmetry has been shown to be an important principle that guides the grouping of scene information. Previously, we have described a method for measuring the local, ribbon symmetry content of line-drawings of real-world scenes (Rezanejad, et al., MODVIS 2017), and we demonstrated that this information has important behavioral consequences (Wilder, et al., MODIVS 2017). Here, we describe a continuous, local version of the symmetry measure, that allows for both ribbon and taper symmetry to be captured. Our original method looked at the difference in the radius between successive maximal discs along a symmetric axis. The number of radii differences in …

A Computational Model Of Team-Based Dynamics In The Workplace: Assessing The Impact Of Incentive-Based Motivation On Productivity, Josef Di Pietrantonio

Electronic Theses and Dissertations

Large organizations often divide workers into small teams for the completion of essential tasks. In an effort to maximize the number of tasks completed over time, it is common practice for organizations to hire workers with the highest level of education and experience. However, despite capable workers being hired, the ability of teams to complete tasks may suffer if the workers' individual motivational needs are not satisfied.

To explore the impact of incentive-based motivation on the success of team-based organizations, we developed an agent-based model that stochastically simulates the proficiency of 100 workers with varying abilities and motive profiles to …

Climate Communication Through A Community Perspective, Kathryn Mcgee

Senior Honors Projects, 2010-2019

This project utilized psychology and science communication strategies to develop creative, locally framed climate change messaging. Through an online survey of 300 Gloucester County, VA residents, community themes of place attachment, environmental connection, risk assessment and climate change acceptance were recorded. Using the results from the survey I created a website, https://guidinggloucester.wixsite.com/home, which serves as an avenue for communicating with Gloucester residents. The website displays the results of the survey, explains climate change information that is relevant to Gloucester County, and gives examples of local actions to help increase engagement in climate solutions. In addition to the website, I …

The Influence Of Parental Control And Parent-Child Relational Qualities On Adolescent Internet Addiction: A 3-Year Longitudinal Study In Hong Kong, Daniel T. L. Shek, Xiaoqin Zhu, Cecilia M. S. Ma

Pediatrics Faculty Publications

This study investigated how parental behavioral control, parental psychological control, and parent-child relational qualities predicted the initial level and rate of change in adolescent internet addiction (IA) across the junior high school years. The study also investigated the concurrent and longitudinal effects of different parenting factors on adolescent IA. Starting from the 2009/2010 academic year, 3,328 Grade 7 students (M_age = 12.59 ± 0.74 years) from 28 randomly selected secondary schools in Hong Kong responded on a yearly basis to a questionnaire measuring multiple constructs including socio-demographic characteristics, perceived parenting characteristics, and IA. Individual growth curve (IGC) analyses …

Examining Quadratic Relationships Between Traits And Methods In Two Multitrait-Multimethod Models, Fredric A. Hintz

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

Psychological researchers are interested in the validity of the measures they use, and the multitrait-multimethod design is one of the most frequently employed methods to examine validity. Confirmatory factor analysis is now a commonly used analytic tool for examining multitrait-multimethod data, where an underlying mathematical model is fit to data and the amount of variance due to the trait and method factors is estimated. While most contemporary confirmatory factor analysis methods for examining multi-trait multi-method data do not allow relationships between the trait and method factors, a few recently proposed models allow for the examination of linear relationships between traits …

Peer Attention Modeling With Head Pose Trajectory Tracking Using Temporal Thermal Maps, Corey Michael Johnson

Masters Theses

Human head pose trajectories can represent a wealth of implicit information such as areas of attention, body language, potential future actions, and more. This signal is of high value for use in Human-Robot teams due to the implicit information encoded within it. Although team-based tasks require both explicit and implicit communication among peers, large team sizes, noisy environments, distance, and mission urgency can inhibit the frequency and quality of explicit communication. The goal for this thesis is to improve the capabilities of Human-Robot teams by making use of implicit communication. In support of this goal, the following hypotheses are investigated: …

Ai-Human Collaboration Via Eeg, Adam Noack

All College Thesis Program, 2016-2019

As AI becomes ever more competent and integrated into our lives, the issue of AI-human goal misalignment looms larger. This is partially because there is often a rift between what humans explicitly command and what they actually mean. Most contemporary AI systems cannot bridge this gap. In this study we attempted to reconcile the goals of human and machine by using EEG signals from a human to help a simulated agent complete a task.

Improving Swarm Performance By Applying Machine Learning To A New Dynamic Survey, John Taylor Jackson

Master's Theses

A company, Unanimous AI, has created a software platform that allows individuals to come together as a group or a human swarm to make decisions. These human swarms amplify the decision-making capabilities of both the individuals and the group. One way Unanimous AI increases the swarm’s collective decision-making capabilities is by limiting the swarm to more informed individuals on the given topic. The previous way Unanimous AI selected users to enter the swarm was improved upon by a new methodology that is detailed in this study. This new methodology implements a new type of survey that collects data that is …