Digital Commons Network^™

Enhancing Non-Visual Interaction With Online User-Generated Content, Mohan Krishna Sunkara

Computer Science Theses & Dissertations

The Web has become the dominant medium for our everyday activities, including communication, business, e-commerce, news, and entertainment. Consequently, the online world is experiencing an explosion of User-Generated Content (UGC), particularly on social media platforms and online review systems. To facilitate convenient interaction with UGC, web platforms have adopted various presentation strategies that enable users to efficiently browse and contribute to the UGC. However, these user interfaces are primarily designed for sighted individuals, so they do little to assist blind users who rely predominantly on audio-based screen reader assistive technology. The extant efforts to improve web interaction for blind users …

Designing A User-Centered Bias System To Enhance Media Literacy And Factual Accuracy, Anjali Majan

Theses and Dissertations

In an era of rapid news consumption, readers often struggle to detect bias and misinformation. This study examined whether interface design can support more critical engagement with news. We developed a progressive disclosure interface that encouraged users to reflect as they read by gradually revealing bias and factual cues. Participants were assigned to either Progressive Disclosure or Ground News. The experiment involved two phases. In the intervention phase, participants used an interface with support features. In the assessment phase, they completed tasks without the tool. We evaluated their performance using five measures: bias recognition accuracy, bias shift, factuality judgment, overlap …

Multi-Theoretic Perspective Of Backer Decision-Making In Crowdfunding: Interplay Of Backer, Founder And Ai, Maliha Alam

Theses and Dissertations

Crowdfunding has become a transformative mechanism for financing innovation, connecting creators directly with backers while bypassing traditional funding barriers. Despite its rapid global growth, only about 33.7% of campaigns succeed, largely due to ineffective communication of value propositions and lack of backer engagement. This dissertation investigates the complex interplay between project founders, backers, and emerging AI technologies to understand the factors influencing donation intention and to enhance crowdfunding success prediction.

Adopting the behavioral decision-making framework, I draw on multiple theoretical perspectives- signaling theory, the dual-process model of persuasion, and the cognitive-affective trust framework to examine founder- backer interactions. Using a …

Don't Settle For Less: Incorporating Postcolonial And Settler Colonial Perspectives Into The Sociological Canon, Eli Xavier Ornelas

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

For decades now, post-/de-/settler-/ and anticolonial scholars have advanced the argument that sociology has largely failed to incorporate critical insights from theories of empire into the sociological canon. In this dissertation, I argue that introduction to sociology textbooks offer an important vantage point from which to assess conventional sociological knowledge as textbooks are often thought to be “reflections of the discipline.” I analyze the social theory and race chapters of 21 of the most often used introduction to sociology textbooks in the United States to investigate two chapters where insights from theories of empire would be present if indeed incorporated: …

“Self-Compassion Has To Be The Heartbeat Of How I Move Through Life”: A Mixed Methods Study Of Family Caregiver Emotional Well-Being, Sarah O. Rasby

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Often referred to as “hidden patients,” family caregivers endure numerous physical, emotional, psychological, and social hardships due to the demands of caregiving, which often results in their own needs going unmet. With the projected 61.3 million of the baby boomer generation entering the long-term care phase by 2029 along with a mass shortage of professional caregivers post-pandemic, more and more family members are expected to fill in for the role of care without sufficient access to support services (Pollard & Scommegna, 2014; Smith & Chang, 2016). An exploratory, mixed-methods study using a three-group intervention design was utilized to investigate the …

Visual Analog Of Temporal Envelope Benefits Speech Processing In Cochlear Implant Users: A Pilot Functional Near-Infrared Spectroscopy Study On The Associations Between Audiovisual Benefit, Listening Environment, And Peripheral Neural Health, Zi Gao, Yi Yuan, Christopher R. Mueller, Ross A. Aiello, Yingying Wang, Shuman He

Faculty Research, Scholarly, and Creative Activity

Objectives: This study compared the benefit of visual analog of temporal envelope for speech processing across listening environments in postlingually deafened adult cochlear implant users. Associations between cortical activities and peripheral neural health were explored. Design: Speech perception was measured using Harvard/IEEE sentences in quiet and noise with a visually presented sphere whose size was synchronized with the temporal envelope of the sentences. Cortical activities were recorded concurrently using functional near-infrared spectroscopy. Audiovisual benefit was evaluated using sentence scores, activation additivity, and functional connectivity. Peripheral neural health was measured using electrically evoked compound action potentials. Results: Behavioral results showed the …

Anticolonialism And Qualitative Methods For Culture-Centered Interventions, Mohan Jyoti Dutta, Ambar Basu, Satveer Kaur-Gill, Debalina Dutta, Mahuya Pal, Iccha Basnyat, Selina Metuamate, Venessa Pokaia, Phoebe Elers, Indranil Mandal, Rabindranath Mandi, Pankaj Baskey, Devalina Mookerjee, Shaunak Sastry, Jaime Robb, Andrew Carter

Faculty Research, Scholarly, and Creative Activity

In this essay, we a collective of Indigenous, Black, and migrant Global South scholars engaged in experiments with the culture-centered approach (CCA) draw on our lived experiences amidst struggles against land grab, neoliberal extractivism, and capitalist exploitation to outline a framework for qualitative methods as anticolonial politics. We begin by exploring the interplays of colonialism, imperialism, and racial capitalism that have shaped the origins and uses of qualitative methods toward serving extractive agendas of global capital. This critique serves as the basis for outlining the key principles of the CCA, turning to voice, storytelling, and embodied action as the basis …

How Developers Use Type-System Related Programming Language Features, Samuel W. Flint

School of Computing: Dissertations, Theses, and Student Research

Optional type annotations are a popular feature of programming languages that allow developers to omit explicit type information in code while, in some cases, retaining many of the benefits of static typing, such as in-code documentation, improved detection of type errors, or enforcement of code properties. However, how developers use and understand optional type annotations is not clear. The focus of this dissertation is to understand the use and comprehension of optional type annotations.

Optional type annotations are examined through four lenses: first, by examining the evolution of usage in a statically typed programming language (Kotlin, the default language for …

Exploring The Long-Term Impact Of Dating And Family Violence On American Indian Youth And Adults: The Role Of Belongingness In Moderating Negative Effects, Racheal M. Killgore

All Graduate Theses and Dissertations, Fall 2023 to Present

Exposure to violence during childhood and adolescence is an important issue, particularly among Native Americans, who experience violence at higher rates compared to other racial/ethnic groups. This early exposure to violence can significantly affect future physical and mental health outcomes—including depression, substance abuse, suicide attempts, obesity, and premature death—while also shaping subsequent relationships in adulthood. Though widely studied in the general population, research focused on American Indians is lacking, with cultural contexts and factors uniquely shaping the experiences of those affected. In AI/AN communities, belongingness is important for well-being and, as such, is a relevant cultural factor that calls for …

A Scoping Review Of Arabic Self-Reported Measures Of Hearing, Tinnitus And Hyperacusis: Limited Quality And Quantity, Abdulsalam Alhaidary, Kishore Tanniru, Kevin J. Munro, Ahmed Bin Afif, Ibrahim Almufarrij

Saudi Medical Journal

ABSTRACT Objectives: To identify Arabic-language self-report measures related to hearing, tinnitus and hyperacusis and evaluate whether they had been validated and cross-culturally adapted following translation from other languages. Methods: The review followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR guidelines) and searched 5` information sources (PubMed, Embase, Web of Science, PsycINFO and Google Scholar) from their inception to September 2023, identifying all originally developed or translated Arabic self- or parent-report measures related to hearing, tinnitus and hyperacusis. A total of 1,458 records were screened, with only 28 deemed eligible for inclusion. Results: This …

An Exploratory Study Of The Vertical Snarc Effect In Mayan Numerals: Effects Of Language Transparency And Reading Direction, Emmett A. Speed

All Graduate Theses and Dissertations, Fall 2023 to Present

The Mayan numerical system, used by the ancient Maya people, is very different from the Western Arabic numerical system. Instead of being based on 10, it's based on 20, and it uses dots and bars instead of the numbers 0 through 9. This study explored how people learn and understand Mayan numbers.

Participants took a 2.5-hour online course to learn Mayan numerals and number words. They were tested to see how quickly and accurately they could recognize and compare Mayan numerals. The results showed that people can learn the Mayan number system and use it automatically.

The study also looked …

Trust In Healthcare Ai Can’T Just Be Designed – It Must Be Felt By Clinicians And Patients, Adriana Banozic-Tang, Heng Wang

Research Collection Yong Pung How School Of Law

Trust in healthcare AI currently over-relies on system design, not lived medical realities.Continuous feedback loops are necessary to embed trust in healthcare AI that is responsive to clinician and patient needs.Initiatives in South-East Asia show how trust in technology can be extended from policy to practice.

Ai In The Judiciary: The Singapore Case, Nydia Remolina Leon

Research Collection Yong Pung How School Of Law

This paper examines the integration of Artificial Intelligence (AI) within the judicial system of Singapore. Singapore's judiciary has embraced AI not as a tool for adjudication, but as an augmentative instrument for legal research, procedural efficiency, and access to justice. It provides a detailed account of AI use cases in the courts, including case summarization, evidence review, assistance for selfrepresented litigants, and tools like the Divorce Assets Informative Division Estimator. The discussion then turns to the legal profession, exploring how law firms in Singapore are adopting AI technologies. The paper also addresses how AI implementation in the judicial system is …

Full Circle: Historiography, Missiology, And Theology In Lin Yutang’S From Pagan To Christian, Teng-Kuan Ng

Research Collection College of Integrative Studies

Lin Yutang (1895–1976) is renowned for bridging the Chinese and Western worlds through his prolific writings, but the vital role of religion in his intercultural endeavors remains underappreciated. This article situates his seminal work of religious reflection, From Pagan to Christian (1959), within the context of World Christianity, defined as both movement and method. Lin’s departure from the Christianity of his youth into Chinese religions—and back again to the church in his later years—presents timely insights for the study of religious change and pluralism in global modernity. Analyzing the text’s decolonizing, dialogical, and polyphonic dimensions, this article brings Lin’s spiritual …

An Examination Of The Lived Experiences Of Community College Students Of Color Who Utilize On-Campus Food Pantries, Maria Luisa Marte

Theses, Dissertations and Culminating Projects

In this dissertation, I present the findings of a descriptive phenomenological study I conducted focused on examining the experiences of community college students of color who utilize on-campus food pantries, aiming to understand how these resources impact their well-being. Through in-depth interviews, two central themes emerged. The first theme, Introduction to the On-Campus Food Pantry, highlights the accessibility of the service, with participants emphasizing the simplicity and efficiency of the registration process as a key factor in their initial engagement. The second theme, Experiences Using the Pantry, reveals that students found the pantry environment to be welcoming and non-stigmatizing, fostering …

A Collaborative Teaching Approach: Teaching Emergent Bilinguals In Higher Education, Erika Oliveros

Theses, Dissertations and Culminating Projects

This dissertation examines the collaboration between two college instructors, one in writing and one in psychology, to enhance support for emergent bilinguals at a private university in the northeastern United States. While collaboration among educators is widely encouraged in K–12 settings, it is far less common and studied in higher education, particularly in relation to language-minoritized students. Through an action research model, this study examines how our informal exchanges evolved into a more intentional and reflective collaboration over time. Grounded in the frameworks of translanguaging (García, 2009) and community cultural wealth (Yosso, 2005), the study traces the evolution of our …

How To Do Things With Little Talking Tubes: Nonideal Speech Acts In The Digital Age, Anthony Holdier

Graduate Theses and Dissertations

In this work, I develop a view about what it means to share a social or conversational context with others, as well as what is normatively entailed by doing so. Working from a broadly Austinian perspective about the moral foundations of language use and how we use words to position ourselves within social space, as well as from a generally Stalnakerian social ontology (demarcating groups by dint of aligned or overlapping sets of commitments), I present three papers demonstrating how nonidealized, ordinary language philosophy can make sense of complex, real-world phenomena. Through analyses of heretical utterances, context collapse, and chatbot …

The Effects Of Background Child-Directed And Adult-Directed Singing On Reading Comprehension Performance, Agnes Yeboah Amfo-Adu

Graduate Theses and Dissertations

Although music features in speech, such as those found in child-directed speech and song, are known to enhance language processing, the underlying mechanism of this benefit remains unclear. Prior research has primarily compared verbal materials presented in a musical, child-directed style to those in a less musical, adult-directed style, leaving it uncertain whether the benefit stems from the music style of verbal presentation or mere exposure to musical features. This study examined whether the language benefits of child-directed input persist when it is presented as background auditory stimuli rather than the primary focus of cognitive tasks. Experiment 1 found that …

This Is Fine: A Reflexive Case Study On Beliefs, Institutional Rhetoric, And The Quiet Despair Of Capstone Completion, Dana Turner Blair

Graduate Theses and Dissertations

For graduate students, capstone writing is often a stressful process that involves significant obstacles to progress. This dissertation presents an exploratory multi-case study of four graduate capstone writers to examine how institutional contexts and rhetoric shape students’ beliefs and related emotions and behaviors during the high-stakes, low-structure settings of capstone research projects. Data for this study was collected through interviews and reflexively compared with reflections from the principal researcher. To gather insights into the relationship between writers’ internal beliefs and institutional contexts, interview excerpts were analyzed according to both cognitive behavioral coaching and institutional critique frameworks. Findings indicated that students …

Testing A Culturally Grounded Training For Black And Latine Clinicians: Creating Communities In Pcit For Providers Of Autistic Youth, Harlee Onovbiona

Graduate Theses and Dissertations

Black and Latine families of autistic youth continue to face mental health disparities, some of which have been attributed to poor access to services, discrimination, and poor culturally responsive care. Black and Latine families call for more family-centered treatments that are in accordance with their values and culture with options for treatments to be delivered by clinicians with similar racial and ethnic backgrounds. Parent-Child Interaction Therapy (PCIT) is a widely known evidenced-based treatment (EBT) that has been used with Latine, Black, and neurodiverse children to improve the parent-child relationship and reduce challenging behaviors. Although considerable efforts have been made to …

Firm Disclosures And Retail Investor Behavior: The Role Of Information Type, Disagreement, And Social Networks, Hansol Yoon

Graduate Theses and Dissertations

This paper examines whether disclosure characteristics–specifically hard versus soft information–influence disagreement among retail investors, whether due to differences in information sets or interpretation, and how such disagreement subsequently affects trading volume. Using a sample of 85,050 earnings conference calls and StockTwits disagreement data from 2010 to 2021, I find that hard information (i.e., earnings figures) is negatively associated with investor disagreement, while soft information (i.e., forward-looking statements) is positively associated with it. Further analysis reveals that the disclosure characteristics impact trading activity only indirectly, through their influence on investor disagreement. Additionally, I examine the moderating role of social network centrality, …

The Case Against Finean Essentialism, Miles Thibodeaux

Graduate Theses and Dissertations

In this thesis, I survey, critique, and add to recent arguments against Finean Essentialism: the view that all de re modal facts are metaphysically explained by essences. Arguments against Finean Essentialism generally fall into two categories: (a) Finean Essentialism risks contradicting commonly held views or suppositions, or (b) Finean Essentialism involves an explanatory gap, vicious circularity, or a vicious regress. While the details of the arguments within each category differ significantly, it is useful to group them in this way given the relevant implications they have for one another. I will argue that the proposed critiques from category (a) are …

Difficulty In American Dramatic Literature, David Turkel

Dissertations

Speaking broadly, this dissertation explores the marginalization of American drama within the field of literary studies. In attempting to account for this marginalization, theater scholars have tended to invoke the genre’s supposed lack of “difficulty,” meaning its failure to pose meaningful interpretive challenges to its readers. However, this dissertation takes an alternative view of the matter, contending that if American drama has indeed been marginalized, it is not because literary studies departments have regarded it as intrinsically “simpler” than other literary genres; in fact, it is theater scholars who have been more likely to read the genre as simple, or …

Focus: Evaluating Pre-Trained Vision-Language Models On Underspecification Reasoning, Kankan Zhou, Yibin Lai, Kyriakos Mouratidis, Jing Jiang

Research Collection School Of Computing and Information Systems

Humans possess a remarkable ability to interpret underspecified ambiguous statements by inferring their meanings from contexts such as visual inputs. This ability, however, may not be as developed in recent pre-trained visionlanguage models (VLMs). In this paper, we introduce a novel probing dataset called FOCUS to evaluate whether state-of-the-art VLMs have this ability. FOCUS consists of underspecified sentences paired with image contexts and carefully designed probing questions. Our experiments reveal that VLMs still fall short in handling underspecification even when visual inputs that can help resolve the ambiguities are available. To further support research in underspecification, FOCUS will be released …

Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances Mcq Generation And Distractor Quality, Yimiao Qiu, Yang Deng, Quanming Yao, Zhimeng Zhang, Zhiang Dong, Chang Yao, Jingyuan Chen

Research Collection School Of Computing and Information Systems

Generating high-quality Multiple Choice Questions (MCQs) remains challenging for educational tools due to the need for contextual relevance and plausible distractors. Existing methods still struggle with these dual requirements, leading to questions that lack depth and distractors that are either too obvious or irrelevant. In this paper, we propose BiFlow, a novel framework that integrates bidirectional reasoning perspectives: teacher reasoning generates contextually relevant questions and plausible distractors, while student reasoning evaluates question clarity and the misleading nature of the distractors. To further enhance reasoning, we introduce PathFinder, a mechanism that employs breadth-first search and Chainof-Thought (CoT) strategies to explore diverse …

Taclr: A Scalable And Efficient Retrieval-Based Method For Industrial Product Attribute Value Identification, Yindu Su, Huike Zou, Lin Sun, Ting Zhang, Haiyang Yang, Chen Li Yu, David Lo, Qingheng Zhang, Shuguang Han, Jufeng Chen

Research Collection School Of Computing and Information Systems

Product Attribute Value Identification (PAVI) involves identifying attribute values from product profiles, a key task for improving product search, recommendation, and business analytics on e-commerce platforms. However, existing PAVI methods face critical challenges, such as inferring implicit values, handling outof-distribution (OOD) values, and producing normalized outputs. To address these limitations, we introduce Taxonomy-Aware Contrastive Learning Retrieval (TACLR), the first retrieval-based method for PAVI. TACLR formulates PAVI as an information retrieval task by encoding product profiles and candidate values into embeddings and retrieving values based on their similarity. It leverages contrastive training with taxonomy-aware hard negative sampling and employs adaptive inference …

Consistent Client Simulation For Motivational Interviewing-Based Counseling, Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Nicholas Gabriel Lim, Cameron Shi Ern Tan, Phey Ling Kit, Jenny Xiuhui Giam, John Pinto, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Simulating human clients in mental health counseling is crucial for training and evaluating counselors (both human or simulated) in a scalable manner. Nevertheless, past research on client simulation did not focus on complex conversation tasks such as mental health counseling. In these tasks, the challenge is to ensure that the client’s actions (i.e., interactions with the counselor) are consistent with with its stipulated profiles and negative behavior settings. In this paper, we propose a novel framework that supports consistent client simulation for mental health counseling. Our framework tracks the mental state of a simulated client, controls its state transitions, and …

Digital Biophilia In Web Interface Design For Accessibility And User Well-Being, Bryana Michelle Peifer

Theses

This interdisciplinary study explores the intersection between horticultural therapy and web design, focusing on the impact of biophilic design principles in shaping contemporary practices within digital interface design. This exploration addresses the multifaceted relationship between humanity and the natural world, particularly how this connection serves as a source for the emergence of nature-inspired elements in digital expressions and their subsequent integration into modern web design for accessibility and well-being. As digital environments increasingly dominate daily experiences, the need for digital wellness through nature integration has become critical, especially for individuals who have physical disabilities, limited mobility, or limited access to …

Mitigating Ai Bias With Prompt Augmentation, Verónica C. Gonzales

Faculty Scholarship

Large-language-model (“LLM”) outputs are inevitably shaped by assumptions, biases, and attitudes rooted in racism and other systemic inequities embedded in the civil-law tradition. This Equity-in-Justice CLE focuses on helping civil legal service providers recognize and work to eliminate biases in generative AI outputs through equity-centered prompt augmentation and engineering. These small, cost-free interventions re-orient LLMs assistance toward fairness, cultural competency, and client-centered outcomes. Participants leave with an action plan for embedding anti-bias safeguards in everyday research, drafting, and client communication tasks.

Debate, Reflect, And Distill: Multi-Agent Feedback With Tree-Structured Preference Optimization For Efficient Language Model Enhancement, Xiaofeng Zhou, Heyan Huang, Lizi Liao

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) continue to set new standards in knowledge-intensive and complex reasoning tasks, yet their high computational demands limit widespread adoption. While distilling large models into smaller ones offers a sustainable solution, current techniques—such as static knowledge distillation, resource-intensive reinforcement learning from human feedback, or limited self-reflection—struggle to yield substantial and lasting performance gains. In this paper, we present a novel Debate and Reflect (D&R) framework that orchestrates multi-turn debates between smaller models and stronger teacher models, eliciting actionable feedback (e.g., error analysis, corrective strategies) to guide student models. Further, we introduce Tree-structured Direct Preference Optimization (T-DPO) to …