Cognitive Psychology Commons^™

Error Processing In Psychopathy: An Analysis Of Event Related Brain Potentials And Post-Error Task Behavior, Ananda Liz Peixoto Couto

UNLV Theses, Dissertations, Professional Papers, and Capstones

Performance monitoring and error processing are crucial for learning from mistakes, adjusting responses, and adapting to the environment. Individuals with psychopathy present with failures in performance monitoring, particularly a failure to learn from experience, and error processing deficits have been reported in this population. Error processing literature has investigated its underlying mechanisms via two prongs, namely behavioral measures and electroencephalography (EEG) indicators. Behaviorally, error processing literature has focused on post-error slowing (PES) and post-error accuracy (PEA). Meanwhile, EEG research has identified two components of error-related brain potentials (ERPs) in error processing: error-related negativity (ERN) and error positivity (Pe). This study …

Exploring The Processing Of Objects, Settings, And Global Properties In Natural Auditory Scenes, Margaret A. Mcmullin

UNLV Theses, Dissertations, Professional Papers, and Capstones

Our auditory system has a remarkable ability to make sense of complex environments, allowing us to identify what we are hearing and where sounds come from. This process of auditory scene analysis is essential for situational awareness, decision-making, and effective communication in daily life. While much is known about how listeners segregate and identify individual sound sources (e.g., voices), less is understood about how global properties of a scene (e.g., openness, naturalness) contribute to perception. This dissertation examined how object- and setting-level information in natural auditory scenes are processed, and whether they rely on distinct or overlapping mechanisms. In Experiment …

How Cultural Intelligence Shapes Communication And Decision-Making In Multicultural Teams, Jonathan Freking

The Scholarship Without Borders Journal

This study explores how cultural intelligence influences patterns of communication and decision-making in multicultural teams, with particular attention to behaviors such as turn-taking, conflict resolution, and feedback. Drawing on a thematic analysis of 45 peer-reviewed articles spanning foundational theories, empirical studies, and methodological approaches, this paper identifies six key themes: the evolution of the CQ construct; CQ as an adaptive communication mechanism; its role in conflict resolution; its influence on collaborative decision-making; the emergence of collective cultural intelligence; and methodological approaches for understanding CQ in context. Findings suggest that high-CQ individuals and teams demonstrate more equitable voice distribution, engage in …

Longitudinal And Bidirectional Relations Between Problematic Social Media Use And Cognitive Failures, K. T. A. Sandeeshwara Kasturiratna, Andree Hartanto

Research Collection School of Social Sciences

With social media becoming increasingly pervasive in our daily lives, there have been heightened concerns that the distractions caused by compulsive and problematic social media use may lead to cognitive failures. While some preliminary work have explored the link between problematic social media use and cognitive functioning, most are cross-sectional, leaving it uncertain whether cognitive failures are a precursor or consequence of problematic social media use. To address this gap, the current study examines the bidirectional relationship between problematic social media use and cognitive failures. A sample of 252 young adults completed the Problematic Social Media Use Scale and the …

The Use Of Sludge Content For Effective Recall Of Information, Rahaf G. Fares

Electronic Theses, Projects, and Dissertations

In an age where social media dominates daily consumption, the impact of engaging multi-modal media, specifically “sludge content,” on attention and memory has garnered significant interest. Sludge content, which generally combines unrelated visual gameplay with narrated audio and subtitles, has emerged as a popular form of online entertainment. This study explored whether this type of content enhances information recall by capturing users’ attention, a claim bolstered by theories of optimal arousal, non-pharmacological interventions such as fidget toys, and audiovisual redundancy. Using a within-subjects experimental design, the study investigated the effects of sludge content on effective recall through three conditions: sludge …

Decision Field Theory For Human-Multi-Robot Collaboration: Human-Centric Decision-Making For Multi-Robot Systems, Ryan Mbagna Nanko

All Theses

At first glance, choosing between an apple and an orange appears to be a straightforward matter of personal taste; however, this seemingly simple preference opens a window into the multifaceted world of decision-making, revealing the complex interplay of cognitive processes, psychological, and behavioral-economic principles that guide our choices \cite{bandyopadhyayRoleAffectDecision2013}. By unpacking these nuanced perspectives, we uncover insights that can drive more effective human-robot interaction and collaboration.

Modeling human cognition requires understanding the evolution of choice utility and the influence of emotions. Decision Field Theory (DFT) stands out by capturing the fluctuating nature in human preferences over time, explaining why choices …

One Step Closer To Greater Understanding! Does A Correlation Exist Between Fluid Intelligence And Player Rank In League Of Legends?, Evan Miller

Dissertations

Chess, one of the oldest modern games, has long been a model domain for expertise research. In comparison, research on video games has historically been influenced by moral panic. Cycles of moral panic tend to revolve around preconceived notions of threats, held at a societal level (typically by older generations). Politicians, quick to capitalize, then advocate for policy change based upon their constituents’ fears. Concurrent media reports draw further attention to the issue, amplifying the perception of harm. As the panic escalates, pressure is placed on scientific communities to perform confirmatory (not exploratory) research. This fundamentally biased approach to research …

Flex-Spatialities: Interior Spaces, Play, And Fantasy, Camilo Lozano-Rivera

Interiority

This article examines how interior spaces in the digital age have evolved into flexible, adaptive environments shaped by technological mediation and shifting everyday practices. Focusing on smart homes and home offices, this article introduces the concept of flex-spatiality to describe how these spaces continually reconfigure in response to changes in needs and digital interfaces. Grounded in Gregory Bateson’s (1972) theory of play and fantasy, the study explores how interior spatiality operates on two levels: as a locus for expressing identities and as a structure for organising social interaction. Through Bateson’s distinction between metalinguistic and metacommunicative functions, flex-spatiality is framed as …

More Schooling Can Delay The Onset Of Dementia Later In Life, Vikesh Amin, Jere R. Behrman, Jason M. Fletcher, Carlos A. Flores, Alfonso Flores-Lagunes, Iliana Kohler, Hans-Peter Kohler, Shana D. Stites

Employment Research Newsletter

No abstract provided.

Computational Thinking As A Novel Framework For Enhancing Cognitive Organization In Older Adults With Cognitive Frailty (Letter To The Editor), Daisuke Akiba

Publications and Research

As aging populations grow, especially in high-income nations, the burden of dementia-related care continues to escalate both economically and socially. In response, this article introduces Computational Thinking (CT) as a novel, non-pharmacological framework to support cognitive organization in older adults experiencing cognitive frailty. Though CT has gained traction in fields like PK-16 education, including special education, for enhancing executive function and problem-solving, it has not yet been applied to geriatric- or memory-care contexts. This perspective proposes that CT’s core components (i.e., decomposition, pattern recognition, abstraction, and algorithmic thinking) may align with residual cognitive strengths in mild-to-moderate dementia, offering a strengths-based, …

"That Movie Changed Me!" Effect Of Induced Mood On Story Interpretation, Rachel Deborah Thayer

2025 Symposium

Studies have found that mood can affect a variety of aspects of cognition, such as memory, comprehension, and decision making. In one such study, participants identified with the character that reflected their hypnotically induced mood, and in another, story endings that were incongruent with the film clip-induced mood were more difficult to process. In the current study, film clips were used to induce moods, and participants were asked to write an ending to an ambiguous story. The prediction is that participants’ completions will reflect their induced mood. To date, 25 Eastern Washington University undergraduate students have been recruited and screened …

Conflicting Social Information And Its Impact On Sentence Comprehension In Young Adults With Dld: An Eye Tracking Study, Ansley Davis

USF Tampa Graduate Theses and Dissertations

Individuals must recognize linguistic and non-linguistic social cues to resolve contextual ambiguities in their conversations. When the linguistic and social cues match, sentence processing is facilitated. However, conflicts between linguistic and social stimuli (i.e., incongruency) can lead to prediction errors which slow sentence processing. Limited research has explored the social cognition conflict resolution skills in individuals with Developmental Language Disorder (DLD) despite their documented emotion processing deficits. This study considers the role of social prediction processing in adults with DLD as they engage in a social cognition conflict resolution task.

Young adults with DLD (n=29) and typically developing (TD) peers …

Going Gray Too Early? Effects Of Color On Facial Identification, Roman M. Pardo

Masters Theses (Archived)

This study investigated a possible bias in face-matching and ID-screening decision making- color incongruity (i.e., one face image presented in color and one in grayscale). Expanding on previous research, the 2x2 mixed methods experiment incorporated eye tracking measures (i.e., fixations). Participants N= 25 were randomly assigned to compare color or grayscale IDs (between groups comparison) to a 10 s color video of a person moving their head side to side. The task consisted of 2 practice and 48 face-matching trials with medium prevalence (MP, 24 match, 24 mismatch) presented as one of four pseudo-random and counterbalanced orders. Signal detection …

Director, Military Cyber Institute, Joseph Schafer

Military Cyber Affairs

No abstract provided.

Throughput Of Ascon Compared With Popular Iot Encryption Algorithms, Mitchel R. Harvey (Ryan), Andrew M. Kaiser, Garrett W. Hoiness

Military Cyber Affairs

No abstract provided.

Anomaly Detection Of Network Layer Attacks Against Cyber Physical Systems Using Machine Learning And Deep Learning Techniques, James Alger, Michael Tu

Military Cyber Affairs

This research paper presents the analysis of using machine learning and deep learning algorithms on detecting anomalous network traffic in Cyber-Physical Systems (CPS). Using a real PLC CPS-based system, normal and anomalous network traffic will be captured using Wireshark. The research analyzes a DDoS attack. The focus of the research is to identify the most effective feature combinations and evaluate them on ML and DL models. The emphasis is on enhancing detection strategies rather than exploiting device vulnerabilities. The detection of network attacks often involves handling a vast array of high-level features. Previous studies (Li & Chasaki, 2022) apply machine …

Characterizing Caldera’S Cyber Attack Emulation Capabilities, Caleb Chang, Matthew Cao, Kenyou Teoh, Ekzhin Ear, Shouhuai Xu

Military Cyber Affairs

Autonomous cyber attack emulation can aid cyber defenders to identify and remediate cyber risks. MITRE’s Caldera software is the state-of-the-practice for automated attack emulation. Yet, it has not been systematically analyzed, putting its performance and effectiveness into question. This paper systematically characterizes Caldera’s architecture, abilities and use cases, and assesses its strengths and weaknesses. It draws useful insights, such as: Caldera excels in stealthy access and execution tactics to pilfer data against Windows operating systems. It also discusses two directions for Caldera improvement: module-level automation and end-to-end attack emulation.

The Digital Battlefield: Safeguarding Military Drones Against Cyberattacks, Jason Ashong, Arun Venkitanarayanan, Benjamin Yankson

Military Cyber Affairs

The Internet of Battlefield Things (IoBT) is an advanced network of interconnected devices that significantly enhance military operations through real-time data exchange and situational awareness. While IoBT offers tactical advantages like improved surveillance, reconnaissance, and operational effectiveness, it also introduces substantial cybersecurity risks. Adversaries can exploit vulnerabilities within these networks, potentially compromising mission integrity and national security. This research examines the cybersecurity measures of commercial drone controllers and their correlation with military devices. It aims to enhance future vulnerability assessments with advanced tools and approaches to better secure critical military operations. The study highlights the need for robust security architectures …

Using Blockchain Technology To Help Secure America's Defense Critical Infrastructure, Vimal Buck, Aerin Krebs, Brynn Hillard, Jakob Gerha, Joseph Lutma, Srikar Maduposu, Ted Allen

Military Cyber Affairs

Critical water infrastructure in the United States faces increasing cybersecurity threats from state-sponsored actors, with potentially devastating consequences for national security, economic stability, and public health. (Cybersecurity and Infrastructure Security Agency, 2025). This infrastructure supports defense critical assets and is actively being targeted by various state-sponsored hacking groups, which poses a major concern for civilians and military alike. K. Herath (personal communication, February 24, 2025) reported being aware of two attacks on Ohio water systems during his tenure as Cybersecurity Strategic Advisor to Ohio Governor Mike DeWine.

Water is essential to everyday life and defense and presents as a high-value …

Network And Multipath Traceroute Visualization, Cameron Makowski

Military Cyber Affairs

TraceCam introduces a new paradigm in network path analysis, leveraging GPU-accelerated WebGL visualization, advanced traceroute integrations, and AI-driven insights to transform complex routing data into actionable intelligence. Early prototypes have demonstrated significant improvements in performance, clarity, and multi-path discovery, overcoming traditional limitations in traceroute analysis. By incorporating retrieval-augmented language models and enriched metadata sources like IPinfo.io, TraceCam enables automated anomaly detection, contextual explanations, and rapid root-cause analysis, enhancing operational efficiency. The platform’s architecture ensures scalability and adaptability, supporting deeper investigations and real-time situational awareness. Future development will focus on clustering-based anomaly detection, expanded geographic visualizations, and enhanced AI-generated analysis to …