Psychology Commons^™

The Beautiful Math Of Everything And You Included, E. Ozie

The STEAM Journal

This a reflection on how there is beautiful math to everything. An author's interpretation of matrices and mechanics in its relationship to someone's identity.

Personality And Mood For Non-Player Characters: A Method For Behavior Simulation In A Maze Environment, Noah L. Paige

Master's Theses

When it comes to video games, immersion is key. All types of games aim to keep the player immersed in some form or another. A common aspect of the immersive world in most role-playing games -- but not exclusive to the genre -- is the non-playable character (NPC). At their best, NPCs play an integral role to the sense of immersion the player feels by behaving in a way that feels believable and fits within the world of the game. However, due to lack of innovation in this area of video games, at their worst NPCs can jar the player …

A Markov Chain Approach For Forecasting Progression Of Opioid Addiction, Abhijit Gosavi, Susan L. Murray, N. Karagiannis

Engineering Management and Systems Engineering Faculty Research & Creative Works

The U.S. is currently facing an opioid crisis. Naltrexone is a common treatment for drug addiction; it reduces the desire to take opiates. However, addicts often stop treatment or continue to use opioids while in treatment. This results in increased fatalities and associated costs. A Markov-chain model is presented to analyze the progression of opioid addiction to assist the medical community in developing appropriate treatments. The model includes patients who continue opiate use while on naltrexone (blocked patients) and those who use opiates after missing naltrexone doses (unblocked patients). The other types of patients are abstinent (the best-case scenario) and …

Communicating Uncertain Information From Deep Learning Models In Human Machine Teams, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank, Luke Andrews, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The role of human-machine teams in society is increasing, as big data and computing power explode. One popular approach to AI is deep learning, which is useful for classification, feature identification, and predictive modeling. However, deep learning models often suffer from inadequate transparency and poor explainability. One aspect of human systems integration is the design of interfaces that support human decision-making. AI models have multiple types of uncertainty embedded, which may be difficult for users to understand. Humans that use these tools need to understand how much they should trust the AI. This study evaluates one simple approach for communicating …

From Classroom To Industry: Human Factors In Aviation Maintenance Decision-Making, Bettina Mrusek, Stephanie Douglas

Publications

The presence of human factors in aviation remains a critical area of research given the safety implications of human error. Understanding what specific factors contribute to human error allows managers and operators to take steps to mitigate these hazards. Several methods have been tested in the cockpit and cabin crew environments, but less attention has been given to the aviation maintenance sector, despite the prevalence of accidents resulting from human error. With the introduction of AC-172A, the FAA validated the need for additional research and training on the role of human factors in aviation maintenance errors. However, a key component …

Comparison Of Longitudinal Changes In Resting State Functional Magnetic Resonance Imaging Between Alzheimer’S And Healthy Controls, Berk Can Yilmaz

Theses

Resting State Functional Magnetic Resonance Imaging (rs-fMRI) is a technique that is widely used for analyzing brain function using different approaches and methods. This study involves rs-fMRI analysis of Blood Oxygenation Level Dependent (BOLD) signals acquired from Alzheimer’s disease (AD) Patients and Healthy Controls (HC). Each subject in the study had both functional and anatomical images with at least one rs-fMRI scan with their Anatomical (T1) scans. Previous rs-fMRI studies have demonstrated that AD shows differences in Amplitude of Low Frequency (<0.1 Hz) Fluctuations (ALFF), and Regional Homogeneity (ReHo) measures according to HCs.

The aim of the study is to investigate individual and group level differences using ReHo and mALFF related …

Cyber Social Threats 2020 Workshop Meta-Report: Covid-19, Challenges, Methodological And Ethical Considerations, Ugur Kursuncu, Yelena Mejova, Jeremy Blackburn, Amit Sheth

Publications

Online platforms have been increasingly misused by ill-intentioned actors, affecting our society, often leading to real-world events of social significance. On the other hand, recog-nizing the narratives related to harmful behaviors is challeng-ing due to its complex and sensitive nature. The Cyber SocialThreats Workshop 2020 aimed to stimulate research for thechallenges on methodological and ethical considerations indeveloping novel approaches to analyze online harmful con-versations, concerning social, cultural, emotional, commu-nicative, and linguistic aspects. It provided a forum to bringtogether researchers and practitioners from both academiaand industry in the areas of computational social sciences, so-cial network analysis and mining, natural language process-ing, …

Internships Shape Students' Future Career, Maria F. Arrayan

Marriott Student Review

Finding an internship has been more difficult than before due to COVID-19. For many, the search for an internship may be frustrating or pointless during this difficult time. Students need to empower themselves with the right tools to find an internship. Maria Fernanda Arrayan talks about the benefits of an internship and four ways to find one. Read this article to find motivation in your search for an internship and try a new way to find your next internship!

Human Error In Commercial Fishing Vessel Accidents: An Investigation Using The Human Factors Analysis And Classification System, Peter J. Zohorsky

Engineering Management & Systems Engineering Theses & Dissertations

The commercial fishing industry is frequently described as one of the most hazardous occupations in the United States. The objective, to maximize the catch, is routinely challenged by a variety of elements due to the environment, the vessel, the crew, and several external considerations and how they interact with each other. The analysis of fishing vessel accidents can be complicated due to the diverse nature of the industry, including the species caught, the type and size of boat that is employed, how far travelled from their homeport, and the adequacy of the support organizations ensuring safe and uninterrupted operations. This …

Face Mask Effects Of Co2, Heart Rate, Respiration Rate, And Oxygen Saturation On Instructor Pilots, Andrew R. Dattel, Nicola M. O'Toole, Guillermina Lopez, Kenneth P. Byrnes

Publications

The COVID-19 pandemic has required people to take new measures to mitigate the spread of the communicable virus. Guidelines from health organizations, government offices, and universities have been disseminated. Adherence to these guidelines cannot be more critical for flight training. This study explored the effects face masks had on CO2, heart rate, respiration rate, and oxygen saturation while wearing a face mask at an oxygen level simulated to 5,000 feet. Thirty-two instructor pilots (IP) volunteered to participate in the study. IPs spent 90 minutes in a normobaric chamber while wearing a cloth face mask or a paper face mask. Participants …

How Does Robotic Surgery Influence Communication, Leadership, And Team Outcomes? A Multimethod Examination., Jordan E. Rogers

Doctoral Dissertations and Master's Theses

The practice of delivering surgical care has evolved to be less invasive to the patients undergoing surgery. Minimally-invasive surgery can be practiced through traditional laparoscopic methods as well as with robotic technology that displaces the surgeon from the operating table. Robotic surgery has been cited to be safer and more effective than traditional laparoscopic surgery; however, little research has endeavored to investigate the role of surgical modality upon aspects of teamwork. This dissertation contributes to the human factors and teamwork literature by evaluating how surgical modality may influence communication, shared leadership, and team outcomes. Multiple methods were employed to study …

Neurobiological Markers For Remission And Persistence Of Childhood Attention-Deficit/Hyperactivity Disorder, Yuyang Luo

Dissertations

Attention-deficit/hyperactivity disorder (ADHD) is one of the most prevalent neurodevelopmental disorders in children. Symptoms of childhood ADHD persist into adulthood in around 65% of patients, which elevates the risk for a number of adverse outcomes, resulting in substantial individual and societal burden. A neurodevelopmental double dissociation model is proposed based on existing studies in which the early onset of childhood ADHD is suggested to associate with dysfunctional subcortical structures that remain static throughout the lifetime; while diminution of symptoms over development could link to optimal development of prefrontal cortex. Current existing studies only assess basic measures including regional brain activation …

An Analysis Of Self-Reported Sleepiness And Fatigue Measures From Collegiate Aviation Pilots, Flavio A. C. Mendonca, Julius Keller, Thomas Laub, Sarah Wolfe

Publications

Fatigue can be deleterious to pilot performance. The National Transportation Safety Board has called on the aviation community to reduce fatigue related accidents. Currently, there are few studies and guidance specific to collegiate aviation pilots. The current study is part of a larger effort by the authors to gain a clearer understanding of fatigue within the collegiate aviation environment. Collegiate aviation pilots are a unique group with different schedules, lifestyles, and demands when compared to airline, military, and on-demand pilots. The purpose of this study was to examine self-reported fatigue and sleepiness measures. Research instruments included the Karolinska Sleepiness Scale …

Exploring Usage Of Web Resources Through A Model Of Api Learning, Finn Voichick

McKelvey School of Engineering Theses & Dissertations

Application programming interfaces (APIs) are essential to modern software development, and new APIs are frequently being produced. Consequently, software developers must regularly learn new APIs, which they typically do on the job from online resources rather than in a formal educational context. The Kelleher–Ichinco COIL model, an acronym for “Collection and Organization of Information for Learning,” was recently developed to model the entire API learning process, drawing from information foraging theory, cognitive load theory, and external memory research. We ran an exploratory empirical user study in which participants performed a programming task using the React API with the goal of …

Understanding Early Childhood Engineering Interest Development As A Family-Level Systems Phenomenon: Findings From The Head Start On Engineering Project, Scott Pattison, Gina Svarovsky, Smirla Ramos-MontañEz, Ivel Gontan, Shannon Weiss, VeróNika NúÑEz, Pam Corrie, Cynthia Smith, Marcie Benne

Journal of Pre-College Engineering Education Research (J-PEER)

There is growing recognition that interest is critical for engaging and supporting learners from diverse communities in engineering and other science, technology, engineering, and mathematics (STEM) topics. Although interest research has historically focused on older children, studies demonstrate that preschool-age and younger children also develop persistent, individualized interests in different objects, activities, and topics and that these early interests have important implications for ongoing learning and development. Unfortunately, there is relatively little research on engineering learning in early childhood and almost no work specific to the concept of interest. To begin to address this need, we conducted in-depth case study …

Differential Patterns Of Theta Activation Underlying Various Cognitive Control Strategies, Jarrod Eisma

Biomedical Engineering Undergraduate Honors Theses

In this study, EEG was recorded from 157 participants at the University of Arkansas as they performed three computer tasks that tested inhibitory control (Go/Nogo Task), proactive and reactive control (AX-Continuous Performance Task), and resolving response conflict (Global/Local Task- modified Flanker Task). Time-frequency analysis (ERSP) was the primary focus of this study, in order to take advantage of the temporal and frequential characteristics of EEG recordings. The ERSPs and following statistical analysis showed significantly higher midfrontal theta band (4-8 Hz) power values for target trials (those that required more cognitive control) than control trials, which indicated that the procedure was …

Combining Eye Tracking And Verbal Response To Understand The Impact Of A Global Filter, Franceli L. Cibrian, Jazette Johnson, Viseth Sean, Hollis Pass, Louanne Boyd

Engineering Faculty Articles and Research

Visual attention guides the integration of two streams: the global, that rapidly processes the scene; and the local, that processes details. For people with autism, the integration of these two streams can be disrupted by the tendency to privilege details (local processing) instead of seeing the big picture (global processing). Consequently, people with autism may struggle with typical visual attention, evidenced by their verbal description of local features when asked to describe overall scenes. This paper aims to explore how one adult with autism see and understand the global filter of natural scenes.

Effects Of Transparency And Haze On Trust And Performance During A Full Motion Video Analysis Task, Sarah C. Leibner

Psychology Theses & Dissertations

Automation is pervasive across all task domains, but its adoption poses unique challenges within the intelligence, surveillance, and reconnaissance (ISR) domain. When users are unable to establish optimal levels of trust in the automation, task accuracy, speed, and automation usage suffer (Chung & Wark, 2016). Degraded visual environments (DVEs) are a particular problem in ISR; however, their specific effects on trust and task performance are still open to investigation (Narayanaswami, Gandhe, & Mehra, 2010). Research suggests that transparency of automation is necessary for users to accurately calibrate trust levels (Lyons et al., 2017). Chen et al. (2014) proposed three levels …

An Investigation Of Nasa Affordability Culture: Concepts And Methods, Christopher J. White, Cassandra Martin

Research Horizons Day Posters

No abstract provided.

Integrating Aviation Technology, Emergency Services, And Human Resilience: Considerations From Social Scientists, Chelsea A. Lenoble Ph.D., Joel M. Billings Ph.D., Allison A. Kwesell Ph.D., Ray H. Chang Ph.D.

National Training Aircraft Symposium (NTAS)

Unmanned aerial systems (UAS) have a range of applications within the field of disaster response. This presentation offers a novel framework of psychosocial considerations designed to advance UAS and disaster management integration. Social scientists highlight important challenges to the effective integration of three primary entities: UAS, the team of teams that responds to disasters, and populations affected by disasters.

The presentation adopts an emerging theoretical perspective on the intersection between UAS capabilities and disaster phases and extends it by bringing necessary attention to social science issues. Specifically, the framework outlines psychosocial considerations and areas of improvement for preparation (training), response …

Pilot Selection Research Gaps: What We Do And Don't Know About "The Right Stuff", Tomas C. Scott, Meredith Carroll Ph.D.

National Training Aircraft Symposium (NTAS)

Ever since the commencement of high-powered flight, pilot selection has been a crucial process within military, general, and commercial aviation. Through effective pilot selection, individuals with the necessary aptitudes, or "the right stuff" to get through a training program and successfully perform the job, can be chosen. There is a range of different aptitudes that have been shown through research to correlate with effective pilot performance. However, there is currently not a comprehensive understanding of the aptitudes, including both cognitive abilities and psychological attributes, necessary not only for effective pilot performance but also for a successful career as an aviator. …

Integrating The 1st Person View And The 3rd Person View Using A Connected Vr-Mr System For Pilot Training, Chang-Geun Oh Ph.D., Myunghoon Oh Ph.D.

National Training Aircraft Symposium (NTAS)

Many virtual reality (VR)-based flight simulation programs provide pilots the enhanced reality from the 1^st person-view to make themselves immersed in the cockpit. Using the VR simulations, pilots can take flight training in many challenging situations that are hard to create in real environments due to its natural entropy and safety concerns such as severe crosswind or engine fire. Mixed reality (MR) technology provides three-dimensional graphics so that users can effectively see all 360 degree-vertical and horizontal aspects of an object while they freely move around to see the graphics maintaining the consciousness of real space. Flight instructors may …

Pilot Acceptance Of Personal, Wearable Fatigue Monitoring Technology: An Application Of The Extended Technology Acceptance Model, Rachelle Lynne Strong

Doctoral Dissertations and Master's Theses

The research problem of pilot fatigue has been referenced as a causal factor for aircraft accidents in many United States National Transportation and Safety Board (NTSB) accident reports; however, the United States Code of Federal Regulations 14 CFR Part 117, Flight and Duty Limitations and Rest Requirements for Flight Crew Members, does not provide a tangible means of measuring fatigue for aircraft crew members. This problem is relevant to the airline industry and the travelling public because pilot fatigue is preventable as a causal factor in aviation accidents, and pilots need an accurate way to measure it. Adoption of a …

Sharing Stress With A Robot: What Would A Robot Say?, Honson Y. Ling, Elin A. Björling

Human-Machine Communication

With the prevalence of mental health problems today, designing human-robot interaction for mental health intervention is not only possible, but critical. The current experiment examined how three types of robot disclosure (emotional, technical, and by-proxy) affect robot perception and human disclosure behavior during a stress-sharing activity. Emotional robot disclosure resulted in the lowest robot perceived safety. Post-hoc analysis revealed that increased perceived stress predicted reduced human disclosure, user satisfaction, robot likability, and future robot use. Negative attitudes toward robots also predicted reduced intention for future robot use. This work informs on the possible design of robot disclosure, as well as …

Building A Stronger Casa: Extending The Computers Are Social Actors Paradigm, Andrew Gambino, Jesse Fox, Rabindra A. Ratan

Human-Machine Communication

The computers are social actors framework (CASA), derived from the media equation, explains how people communicate with media and machines demonstrating social potential. Many studies have challenged CASA, yet it has not been revised. We argue that CASA needs to be expanded because people have changed, technologies have changed, and the way people interact with technologies has changed. We discuss the implications of these changes and propose an extension of CASA. Whereas CASA suggests humans mindlessly apply human-human social scripts to interactions with media agents, we argue that humans may develop and apply human-media social scripts to these interactions. Our …

Barn-Raising On The Digital Frontier: The L.A.U.N.C.H. Collaborative, Bradford W. Hesse, David Ahern, Michele Ellison, Eliah Aronoff-Spencer, Robin C. Vanderpool, Karen Onyeije, Michael C. Gibbons, Timothy W. Mullett, Ming-Yuan Chih, Victoria Attencio, Grant Patterson, Jessica Boten, Christopher Hartshorn, Ben Bartolome, Katie Gorscak, Melanie Mccomsey, Alexandra Hubenko, Bin Huang, Corey Baker, Don Norman

Journal of Appalachian Health

A meta-analysis of oncology papers from around the world revealed that cancer patients who lived more than 50 miles away from hospital centers routinely presented with more advanced stages of disease at diagnosis, exhibited lower adherence to prescribed treatments, presented with poorer diagnoses, and reported a lower quality of life than patients who lived nearer to care facilities. Connected health approaches—or the use of broadband and telecommunications technologies to evaluate, diagnose, and monitor patients beyond the clinic—are becoming an indispensable tool in medicine to overcome the obstacle of distance.

Repairer Reporting System User Analysis For Sms Compliance In Aviation Maintenance, Mark D. Miller, Bettina Mrusek

Publications

To resolve the issue of human error in maintenance the REPAIRER reporting system is revisited as it has great potential by combining a human factors analysis with a risk management safety reporting mechanism. It is also timely as a human factors centered safety reporting method like the REPAIRER could now be feasibly implemented through the new mandatory FAA (Federal Aviation Administration) FAR 121 requirement to use SMS (Safety Management System) pillars and through the new FAA MxHF human factors training. With the current FAA support in place and the ever growing need to add human factors to combat human error …

Implementing The Repairer Human Factors Safety Reporting System Through Mrm (Mxhf) To Meet Sms Compliance In Aviation Maintenance, Mark D. Miller, Bettina Mrusek

Publications

Reiterating the importance of having a human factor related safety reporting system for aviation maintenance to reduce human error and utilizing it to gain SMS compliance, the REPAIRER method of identifying and reporting human factors hazards in aviation maintenance is reintroduced. How and why the REPAIRER method system is of such importance in the implementation of aviation maintenance safety programs can be linked to the success and evolution of maintenance resource management and human factors programs which have been effective in reducing human error in aviation maintenance. These programs are rooted in effective communication methods, as well as the identification …

Assessing Cognitive Processing And Human Factors Challenges In Nextgen Air Traffic Control Tower Team Operations, Mark D. Miller, Sam Holley, Bettina Mrusek, Linda Weiland

Publications

Previous research of Terminal Radar Control Facilities and Standard Terminal Automation Replacement Systems interactions by the authors examined how combined NextGen digitized technology affects air traffic controller functions. Applying their updated SHELL model, human factors implications on the Tower Team before and after implementing NextGen technology were examined, focusing on cognitive loading and automated functions affecting each team member. A survey examined where cognitive difficulties occur when controllers are responsible for multiple screen views, remote airfields or helipads, and digitized cameras and blind spots. Scanning challenges were identified where local traffic, ground operations, and data converge onto one screen, and …

Xylo-Bot: A Therapeutic Robot-Based Music Platform For Children With Autism, Huanghao Feng

Electronic Theses and Dissertations

Children with Autism Spectrum Disorder (ASD) experience deficits in verbal and nonverbal communication skills, including motor control, emotional facial expressions, and eye gaze / joint attention. This Ph.D. dissertation focuses on studying the feasibility and effectiveness of using a social robot, called NAO, and a toy music instrument, xylophone, at modeling and improving the social responses and behaviors of children with ASD. In our investigation, we designed an autonomous social interactive music teaching system to fulfill this mission.

A novel modular robot-music teaching system consisting of three modules is presented. Module 1 provides an autonomous self-awareness positioning system for the …