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Articles 1 - 6 of 6
Full-Text Articles in Cognitive Science
Statistical Analysis Of Evidence In Criminal Cases, Giuliana Leon Carrillo
Statistical Analysis Of Evidence In Criminal Cases, Giuliana Leon Carrillo
Graduate Theses, Dissertations, and Problem Reports (ETD)
Ideally, the evaluation of relevant forensic evidence must corroborate the hypotheses that the prosecution and/or the defense holds regarding the commitment of a crime. Therefore, optimal forensic evidence would be the one that can be found all the time under the same circumstances, and cannot be found otherwise, making the forensic scientist able to evaluate this evidence given the hypotheses provided. Nevertheless, this is hard to find, as ideal evidence being only a concept.
In this project, the probabilistic interpretation of relevant forensic evidence investigated in criminal cases with the aid of Wigmore charts and Bayesian networks was proposed. Using …
Social Media Addiction And Its Influence On The Physical Social Interactions Among West Virginia University Students, Blessing Ochom Omaleko
Social Media Addiction And Its Influence On The Physical Social Interactions Among West Virginia University Students, Blessing Ochom Omaleko
Graduate Theses, Dissertations, and Problem Reports (ETD)
ABSTRACT
Social Media Addiction and its Influence on the Physical Social Interactions Among West Virginia University Students
Blessing O. Omaleko
This qualitative study investigated social media addiction and its perceived influence on face-to-face interactions among 14 West Virginia University students using an open-ended qualitative survey. Grounded in Griffiths' (2013) behavioral addiction components, salience, mood modification, conflict, and relapse, the data were analyzed using Thematic Analysis (Braun & Clarke, 2006). Findings revealed that while students characterized their social media use as a habit rather than an addiction, their descriptions aligned with multiple addiction components. Students consistently valued in-person interactions over online …
Taxpayers Willingness To Use Ai Conversational Tools, Nessrine Mesto-Assaad
Taxpayers Willingness To Use Ai Conversational Tools, Nessrine Mesto-Assaad
Graduate Theses, Dissertations, and Problem Reports (ETD)
With the rapid emergence of Artificial Intelligence Conversational Tools (AICTs), such as ChatGPT and Google Gemini, and their widespread use, the need to understand users’ acceptance of this emerging technology has increased. Prior research has investigated users’ acceptance of AICTs in hospitality, tourism, e-commerce, and retail industries. However, users’ acceptance of the use of AICTs for tax information remains relatively underexplored in the tax context. Therefore, this study investigates taxpayers’ willingness to accept and use AICTs for tax-related questions when e-filing their tax returns. Drawing on the Artificial Intelligence Device Use and Acceptance (AIDUA) model as a research framework, this …
Leveraging Physiological Signal Activity And Self-Report Data To Assess Students’ Trust In “My Friendly Mind” App And Its Impact On Their Mental Health Knowledge: A Mixed-Method Phase 1 Clinical Trial Focusing On Depression And Attention Deficit Hyperactivity Disorder From Human Factors Standpoint., Yeganeh Shahsavar
Graduate Theses, Dissertations, and Problem Reports (ETD)
Mental health issues have become a significant global public health concern, especially among younger generations. The growing number of mental health challenges, combined with limited access to quality care, makes the problem even worse. Studies reveal that over 70% of individuals worldwide in need of mental health services do not receive appropriate care. Digital health technologies have the potential to enhance mental health services by making them more accessible and affordable. Despite the increasing popularity of mental health mobile applications (mHealth), there remains a lack of robust evidence of their effectiveness and the level of user trust, particularly in areas …
A Multidisciplinary Approach To Identify Postoperative Delirium In Geriatric Patients Using A Brain Health Screening Tool, Ashlyn Mccartney
A Multidisciplinary Approach To Identify Postoperative Delirium In Geriatric Patients Using A Brain Health Screening Tool, Ashlyn Mccartney
Graduate Theses, Dissertations, and Problem Reports (ETD)
Postoperative delirium (POD) is a common occurrence, effecting nearly 61% of the surgical population recovering from anesthesia. POD increases risk of morbidity and mortality leading to prolonged hospital length of stay by 0.8 to 7.3 days and increased costs by $1,551 to $23,698 (Masharaf et al., 2022; Sethi, 2021). An academic medical center in northern West Virginia (WV) lacks a structured practice/protocol to identify high risk patients and assess POD. An evidence-based solution was developed based on the PICO question: Does a multidisciplinary approach to perianesthetic care utilizing a brain health screening tool, compared to lack of a screening tool, …
Screen Media Use Among Children And Adolescents – Applications Of Supervised And Unsupervised Machine Learning And Sentiment Analysis, Yifan Zhang
Graduate Theses, Dissertations, and Problem Reports (ETD)
Screen media has become increasingly pervasive in our everyday lives and has profoundly changed the way people communicate and interact with each other. However, we are still unclear about the long-term influence of screen media use on our physical health, mental health, and social wellbeing. Children and adolescents are in an important stage of brain development and are susceptible to the environmental influence that screen media possess. This dissertation pursued three aims to address research gaps related to screen media use among children and adolescents: 1) identify topics and knowledge gaps in screen media use research among children and adolescents …