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Articles 1 - 7 of 7
Full-Text Articles in Cognitive Science
A Novel Approach To Creativity Assessment: Forced Pairwise Ranking With Large Language Models, Phillip R. Gregory Jr
A Novel Approach To Creativity Assessment: Forced Pairwise Ranking With Large Language Models, Phillip R. Gregory Jr
Master's Theses
Assessing creativity at scale remains a persistent challenge in cognitive science, as human raters are costly, slow, and often inconsistent in their judgments. This thesis introduced a novel framework for automated scientific creativity assessment using forced pairwise ranking, in which fine-tuned large language models compared response pairs and determined which was more creative. Five empirical studies were conducted using Llama-2-7B and Llama-2-13B models adapted via LoRA fine-tuning and benchmarked against human scored responses from the Scientific Creative Thinking Test. A regression baseline achieved Pearson �� = .74 on the test set, matching the human inter-rater ceiling reported in the literature. …
Analyzing Patterns In Hofstede’S Cultural Dimensions Towards Individual Ai Receptiveness For Affective Experiences, Maggie Yang
Analyzing Patterns In Hofstede’S Cultural Dimensions Towards Individual Ai Receptiveness For Affective Experiences, Maggie Yang
Master's Theses
The use of artificial intelligence (AI) has significantly advanced efficient decision-making, with trust in algorithmic decisions shown to vary by cultural upbringing [1]. As AI becomes increasingly embedded in everyday life, it is essential to examine how cultural values affect trust in AI in subjective contexts that extend beyond purely quantitative analysis, like the personal interpretation of art. This work utilizes Hofstede’s cultural dimensions to investigate potential patterns in receptiveness towards AI predictions during art interpretation, providing insight into individual susceptibility to bias in AI-assisted affective analysis.
The study leveraged a cultural dimension survey and a custom Java program connected …
Determinants Of Integration: Migration Difficulty, Mental Health, And Social Connections Among Eritrean Immigrants, Shewit Woldemichael
Determinants Of Integration: Migration Difficulty, Mental Health, And Social Connections Among Eritrean Immigrants, Shewit Woldemichael
Master's Theses
This thesis explores how the experience of migration hardship affects integration outcomes of Eritrean migrants in the U.S. and the Netherlands. Using original survey data and the Immigration Policy Lab’s Integration Index (IPL-24), this paper investigated the intersection of economic, psychological, and social interactions that facilitate integration outcomes. This research finds that migration hardship doesn’t just make people’s lives more difficult; it breaks down the social ties and mental well-being that are essential for economic success measured by integration.
Digimindready: Enhancing Military Readiness Through Edge Ai-Driven Wellness, Education, And Digital Discipline Via Privacy-First Mhealth Innovation, Md Mehedi Hasan
Digimindready: Enhancing Military Readiness Through Edge Ai-Driven Wellness, Education, And Digital Discipline Via Privacy-First Mhealth Innovation, Md Mehedi Hasan
Master's Theses
Military personnel often find themselves in intense situations that require high focus. Successfully engaging in these dangerous missions means they must efficiently control cognitive load, manage overwhelming stress, and stay focused through distractions to perform at their best. Military training significantly focuses on human performance, which benefits military readiness. The 21st century has introduced unanticipated challenges to all, such as the adverse effects of excessive screen time, external distractions, and over-reliance on technology without being aware of digital discipline. Militaries are no exception. These challenges have become an emerging threat to military personnel's cognitive, emotional, and physical well-being. On top …
Accessible Real-Time Eye-Gaze Tracking For Neurocognitive Health Assessments, A Multimodal Web-Based Approach, Daniel C. Tisdale
Accessible Real-Time Eye-Gaze Tracking For Neurocognitive Health Assessments, A Multimodal Web-Based Approach, Daniel C. Tisdale
Master's Theses
We introduce a novel integration of real-time, predictive eye-gaze tracking models into a multimodal dialogue system tailored for remote health assessments. This system is designed to be highly accessible requiring only a conventional webcam for video input along with minimal cursor interaction and utilizes engaging gaze-based tasks that can be performed directly in a web browser. We have crafted dynamic subsystems that capture high-quality data efficiently and maintain quality through instances of user attrition and incomplete calls. Additionally, these subsystems are designed with the foresight to allow for future re-analysis using improved predictive models, as well as enable the creation …
Does Higher Socioeconomic Status Associate With Better Mental Health Outcomes Among Primary Caregivers In Rural China?, Wenwen Zhang
Does Higher Socioeconomic Status Associate With Better Mental Health Outcomes Among Primary Caregivers In Rural China?, Wenwen Zhang
Master's Theses
This study explores the intricate relationship between socioeconomic status (SES) and the mental health outcomes of primary caregivers in rural China, focusing on the Early Childhood Development (ECD) context in Ya'an. Anchored in a major intervention project launched in 2023, the study critically examines the hypothesis that higher socioeconomic status correlates with lower levels of negative emotions among caregivers.
Utilizing cross-sectional data, the research investigates how educational attainment and household income influence caregivers' mental health, measured through the DASS-21 score in three dimensions: stress, anxiety, and depression. The findings reveal that higher household income and educational levels are significantly associated …
Legislative Language For Success, Sanjana Gundala
Legislative Language For Success, Sanjana Gundala
Master's Theses
Legislative committee meetings are an integral part of the lawmaking process for local and state bills. The testimony presented during these meetings is a large factor in the outcome of the proposed bill. This research uses Natural Language Processing and Machine Learning techniques to analyze testimonies from California Legislative committee meetings from 2015-2016 in order to identify what aspects of a testimony makes it successful. A testimony is considered successful if the alignment of the testimony matches the bill outcome (alignment is "For" and the bill passes or alignment is "Against" and the bill fails). The process of finding what …