The goal of this work is to improve the robustness and generalization of deep learning models, using a similar approach to the unsupervised "innate learning" strategy in visual development. A series of research studies are presented to demonstrate how an unsupervised machine learning efficient coding approach can create filters similar to the receptive fields of the primary visual cortex (V1) in the brain, and these filters are capable of pretraining convolutional neural networks (CNNs) to enable faster training times and higher accuracy with less dependency on the source data. Independent component analysis (ICA) is used for unsupervised feature extraction as it has shown success in both applied machine learning and modeling biological neural receptive fields. This pretraining applies equally well to various forms of visual input, including natural color images, black and white, binocular, and video to drive the V1-like Gabor filters in the brain. For efficient processing of typical visual scenes, the filters that ICA produces are developed by encoding natural images. These filters are then used to initialize the kernels in the first layer of a CNN to train on the CIFAR-10 dataset to perform image classification. Results show that the ICA initialization for a custom made CNN …

This study explores information seeking behavior of second-generation Muslim immigrants utilizing factors such as critical, cultural, and religious literacy skills. The study examined the second-generation immigrants' ability to balance their parents' and grandparents' native culture and traditions with the culture and traditions of their country. The interview questions were designed using the cognitive authority theory and the figured worlds theory that provides an explanation for the mentality of those who are in environments influenced by culture or religion. An interesting main finding of the study is that participants sought more religious-based rather than culturally-based information. Participants seek information from their parents, communities, and religious leaders, but are particular with who they consider credible and reliable; if the person providing the information follows a similar lifestyle to the participants, they are more likely to hold cognitive authority. Four different themes emerged from the study. The first is "religious focus" where many participants stated that religion is rather static whereas culture can evolve and change with time, location, and events. The second theme emerged is the reliance on family members for religious literacy given the close upbringing of Muslim extended family system. The third theme indicated that although information seeking behavior relied …

This study examines the background and qualifications of plaintiff and defense experts using the H-Index score as quantification of expert background and qualifications. The goal is to better understand the similarities and differences among the professionals offering paid expert witness testimony in mild traumatic brain injury (mTBI) civil litigation. In this quantitative study, descriptive statistics include the mean and standard deviation scores for the data to support examining measures of central tendency and variance, respectively. The study includes the use of logistic regression and the Wilcoxon signed-rank test, and their statistical assumptions were tested to determine whether they would be used or if it was more appropriate to use a non-parametric test. The study included two research questions: How do the qualifications of plaintiff and defense expert witnesses in mild traumatic brain injury civil litigation compare? and to what extent does a higher h-index correlate with a favorable litigation outcome in a mild traumatic brain injury case? The findings for the hypothesis tests associated with the research questions led to the acceptance of the null hypothesis in each test. There was a lack of asymptotic significance in Hypothesis 1 and a lack of significance in Hypothesis 2. The findings from …

The purpose of this study was to collect design requirements from women engineers on artificial intelligence teammates such as Microsoft Teams, Slack, and Trello. A mixed methods research design was used for this study with an online survey and semi-structure interviews. The study results revealed design requirements from women engineers including solutions to sociotechnical issues that could arise from artificial intelligence teammates in the workplace. The results showed various ways women engineers collaborate in the workplace with and without artificial intelligence. Additionally, women engineers' attitude towards artificial intelligence was examined to identify if there was a correlation to self-efficacy. This research study fills a previous study gap that solicited design requirements from research scientists, by soliciting practitioners. Practitioners such as women engineers are underrepresented in the workplace, and they could benefit from an artificial intelligence teammate with their design requirements. Finally, this study contributes to the information science literature on collaborative information seeking, artificial intelligence design, and engineers' information seeking behaviors.

Very few studies have examined information sentiment and explored other factors that contribute to health information dissemination and sharing. In particular, there is a lack of studies that performed these combined analyses in the modern social network environment during the disease outbreaks, such as with zika, ebola, SARS, or COVID-19. This study aimed to fill the gap in the literature by investigating what drives social media users to widely disseminate health-related information during a pandemic. Diffusion of innovation theory and theory of planned behavior were the basis of the theoretical approach utilized to answer the research questions. The two theories identified antecedents of sharing online health information. Data was collected through an online survey distributed to students in a higher education institution in the United States of America. The study revealed the extent of the relationships between the four major factors derived from the previous literature—attitudes toward sharing, beliefs toward source, peer influence, and information sentiment—and the behavioral intention to share information. The results would support the information science literature by offering and testing a new model that identifies the factors that affect users' intentions to share health information in the social network environment. This study will further the understanding …

No published studies to date examined the practices in creation or adoption of metadata in cultural heritage institutions or evaluated metadata in bibliographic databases in the Arabian Gulf counties and assessed its potential interoperability in the aggregation that would provide a central point of access to bibliographic databases of cultural heritage institutions. This exploratory study aimed to address this gap with the goal of: (1) developing understanding of the current state of information representation and knowledge organization in cultural heritage collections in Arabian Gulf countries, and (2) exploring perspectives for future developments such as creating regional large-scale portals similar to Digital Public Library of America, Europeana etc. that facilitate discovery by aggregating metadata and possible barriers to these developments.. The study is focused on a Kuwaiti, Qatari, and Omani libraries, museums, and archives. The mixed-methods research combined semi-structured interviews of the bibliographic database managers at 15 cultural heritage institutions and in-depth content analysis of a sample of 412 metadata records that represent items in these bibliographic databases for accuracy, completeness, consistency, use of knowledge organization systems, etc. This study findings make a research contribution important for evaluating the feasibility and planning of future aggregations of cultural heritage bibliographic databases. Results …

Digital libraries have become valuable learning resources for information users. However, language barriers have greatly limited information access for many digital libraries, as users do not understand those languages. This study explored technical and operational challenges digital libraries faced in sustaining multilinguality. Using the multiple-case method, the study investigated two digital libraries that have sustained multilinguality for over a decade: the World Digital Library and the Digital Library of the Caribbean. On-site interviews were conducted at both digital libraries and the related documents were analyzed. The findings of the study showed that the two multilingual digital libraries faced many technical and operational challenges and employed various approaches to find solutions. A model of challenges and approaches in sustaining multilinguality was presented. As the first such case study, this research enriches the existing literature, and has theoretical, practical, and methodological implications for the research of multilingual digital libraries. The findings of the study provide useful guidelines and insights for the digital library community in sustaining multilingual services.

After more than two decades, bullying and cyberbullying is still negatively impacting the lives of many of our youth and their families. The prevalence of the phenomenon is widespread and part of the everyday life activities. The impact of cyber aggression and violation can have severe consequences, up to the destruction of lives. While cyberbullying prevention programs exist, not much progress seems to have been made in the effort to combat the phenomenon. This research provides new insights into how to extract information by using existing research and online news articles, with the aim to create new or improve existing cyberbullying prevention efforts. The intent is to inform prevention programs.

Social media information behavior is increasingly critical, impacting not only individuals and groups but the beliefs, values, and direction of society and culture. The purpose of this study was to investigate how persistent observation by members of the online network influences social media users' information behavior, resulting in the phenomenon of social noise. Data analytics, including LDA, LSA, and clustering methodologies, were performed but could not provide information about the users' motivations. Using an ethnographic approach, participant observations and interviews were conducted with Facebook users as they interacted with informational posts, and the data collected was coded using a recursive method. Four key constructs of social noise were identified, and sub-codes were assigned within each construct as patterns emerged, providing insight into the different facets of social noise. Additionally, in most instances more than one of the four constructs were present, layering their influence on the information behavior. Based on these findings, social media users are not always interacting with information based on true personal beliefs or desires; instead, concerns surrounding their personal image, relationships with others, core beliefs, and online conflict are influencing their observable information behavior. The results of this exploratory study provide a basis to further develop …

Subject of information entity is one of the fundamental concepts in the field of information science. Subject of any document represents its intellectual potential -- 'aboutness' of the document. Traditionally, subject (along with title and author) is the one of three major ways to access information, so subject metadata plays a central role in this process and the role is constantly growing. Previous research concluded that the larger bibliographic database is, the richer subject vocabularies and classification schemes are needed to support information discovery. Further, a high proportion of information objects are unretrievable without subject headings in metadata records. This exploratory study provides the analysis of the subject metadata in MARC 21 bibliographic records created in 2020; and develops understanding of the level and patterns of 'aboutness' representation in the MARC 21 bibliographic records. Study also examines how these records apply the recent RDA and MARC21 guidelines and features intended to support functionality in a Linked Data environment. Methods of Social Network Analysis were applied along with content analysis, to answer research questions of this study. Suggestions for future research, implications for education, and practical recommendations for library metadata creation and management are discussed.

This study applied social disruption as a concept that highlights factors responsible for the breakdown of social relationships in societies. Social disruption has many forms, however, the focus in this study was on strikes, which create constant social disruption in Nigerian public universities and could have serious impact on students' information behavior. Two universities – Federal University of Technology Owerri (FUTO) and Imo State University Owerri (IMSU) – were chosen for the study, and data was obtained through an online survey across sample of approximately 250 participants from the two selected public universities in Nigeria. The study applied the principle of least effort theory and the model of information search process to investigate the research questions of this dissertation which were: (1) what kinds of information do university students in Nigeria seek, and to what extent do strikes have implications on their information behavior?; (2) how do Nigerian students perceive the impact of strikes on their information source location and information resource usage?; (3) to what extent can information and communication technology (ICT) minimize the impact of strikes on students' information behavior?; and (4) how can universities in Nigeria prevent strikes from impacting students' information behavior? t-Tests were applied to …

The purpose of the current study was to confirm or dismiss Saudi students' behavioral intention with regard to using smartphone applications for learning purposes. A quantitative, non-experimental survey research design and descriptive research conducted on the determinants -performance expectancy, effort expectancy, and social influence- that predict Saudi students' intention at University of North Texas to use smartphone applications for learning purposes, based on the unified theory of acceptance and use of technology (UTAUT) as the framework. This study aims at filling gap found in understanding of students' intentions and their behaviors regarding the adoption and use of the Smartphone applications. Data was collected by means of an online questionnaire. The hypothesized model validated empirically using data collected from around 234 Saudi students who enrolled at University of North Texas. The model developed from UTAUT explained 50.1% of the variance of behavioral intention, and behavioral intentions explained 13.6% of the variance of usage behavior. The result of this study support that the determinants of performance expectancy, effort expectancy, and facilitating conditions were the highest predictors of behavioral intentions in using smartphone applications for learning purposes. The results of this study could encourage students, educators, and the Saudi Arabia Ministry of Education …

In the traditional agenda-setting theory, the agenda-setters were the news media and the public has a minimal role in the process of agenda-setting, which makes the public a passive receiver located at the bottom in the top-down agenda-setting dynamics. This study claims that with the development of Information communication technologies, primarily social media, the networked public may be able to set their own agendas through connective actions, outside the influence of the news media agenda. There is little empirical research focused on development and dynamics of public agenda-setting through social media platforms. Understanding the development and dynamics of public agenda-setting may be key to accounting for and overcoming conflicting findings in previous reverse agenda-setting research. This study examined the public agenda-setting dynamics through a case of gun violence prevention activism Twitter network, the #MarchForOurLives Twitter network. This study determined that the agenda setters of the #MarchForOurLives Twitter network are the key Never Again MSD student leaders and the March For Our Lives. The weekly reflected important events and issues and the identified topics were highly co-related with the themes examined in the tweets created by the agenda setters. The amplifiers comprised the vast majority of the tweets. The advocates and …

Cultural heritage institutions, including galleries, libraries, museums, and archives are increasingly digitizing physical items and collecting born-digital items and making these resources available on the Web. Metadata plays a vital role in the discovery and management of these collections. Existing frameworks to identify and address deficiencies in metadata rely heavily on count and data-value based metrics that are calculated over aggregations of descriptive metadata. There has been little research into the use of traditional network analysis to investigate the connections between metadata records based on shared data values in metadata fields such as subject or creator. This study introduces metadata record graphs as a mechanism to generate network-based statistics to support analysis of metadata. These graphs are constructed with the metadata records as the nodes and shared metadata field values as the edges in the network. By analyzing metadata record graphs with algorithms and tools common to the field of network analysis, metadata managers can develop a new understanding of their metadata that is often impossible to generate from count and data-value based statistics alone. This study tested application of metadata record graphs to analysis of metadata collections of increasing size, complexity, and interconnectedness in a series of three related …

This dissertation addresses research questions related to defining a smart city and the associated activities. The general research question is explored in the dissertation via the conduct of three related studies. The finding from these three investigations are presented in the results section as 3 essays that collectively examine the smart city phenomena as it has emerged within the City. Essay 1 assesses building municipal open data capability. The study proposed an Opendata Roadmap Framework to enhance the organization's dynamic capability. The results provide a valuable practical framework to help cities develop open data capability. The results also provide a comparative study or benchmark for similar initiatives with other regional cities and within the nation. Essay 2 measures the residents' understanding and beliefs about smart cities. This portion of the research used a qualitative method that included interviewing residents and city officials to understand their definition of a smart city and what they believe makes a city smart. The interviews focused on understanding resident engagement because it is an important characteristic of a smart city. The gap between the city officials and residents understanding was examined. In addition, the interviews help identify essential factors associated with smart cities like trust …

Why is the term information in English an uncountable noun, whereas in information theory it is a well-defined quantity? Since the amount of information can be quantified, what is the meaning of a fraction of that amount? This dissertation introduces a quasi-entropy matrix which developed from Claude Shannon's information measure as an analytical tool for behavioral studies. Such matrix emphasizes the role of relative characteristics of individual level data across different collections. The real challenge in the big data era is never the size of the dataset, but how data lead scientists to individuals rather than arbitrarily divided statistical groups. This proposed matrix, when combining with other statistical measures, provides a new and easy-to-do method for identifying pattern in a well-defined system because it is built on the idea that uneven probability distributions lead to decrease in system entropy. Although the matrix is not superior to classical correlation techniques, it allows an interpretation not available with traditional standard statistics. Finally, this matrix connects heterogeneous datasets because it is a frequency-based method and it works on the modes of data rather than the means of values. It also visualizes clustering in data although this type of clustering is not measured by …

This study explores employees' desire to embrace both a legacy operating system and a new workflow engine utilized in the workplace. The goal is to better understand the partnership and relationship the users build with the technologies and how that impacts usage behavior. The research is centered on a mixed-method case study using survey and episodic interview techniques of data collection. Models and methodologies providing the foundation for this study include Venkatesh and Davis's technology acceptance model 2 (TAM 2) and Venkatesh, Morris, Davis, and Davis' unified theory of acceptance and use of technology (UTAUT) model, coupled loosely with concepts from Brooks and Atkinson's StructurANTion Theory. A new, adapted model is created to capture and understand the anthropomorphic characteristics users apply to the technology. This study yields important information for the future theoretical frameworks as elements such as trust and control, and descriptive variables like age and tenure have not factored into existing theoretical frameworks and models. Users can often anthropomorphize technology, viewing it as part of the social team to help improve their work. Through this lens, users expect information systems to be controllable and trustworthy to respond to their needs both alone and within the function of the …

Web archiving is the practice of preserving websites as a historical record. It is a technologically-challenging endeavor that has as its goal the creation of a high-quality archived website that looks and behaves exactly like the original website. Despite the importance of the notion of quality, comprehensive definitions of Information Quality (IQ) in a web archive have yet to be developed. Currently, the field has no single, comprehensive theory that describes what is a high-quality or low-quality archived website. Furthermore, most of the research that has been conducted on web archives has been system-centered and not user-centered, leading to a dearth of information on how humans perceive web archives. This dissertation seeks to remedy this problem by presenting a user-centered grounded theory of IQ for web archives. It answers two research questions: 1) What is the definition of information quality (IQ) for web archives? and 2) How can IQ in a web archive be measured? The theory presented is grounded on data obtained from users of the Internet Archive's Archive-It system, the largest web-archiving subscription service in the United States. Also presented are mathematical definitions for each dimension of IQ, which can then be applied to measure the quality of …

This study applied the impression management theory in the context of social networking to investigate the generalized research question of this dissertation which is "Do active social media presence and various privacy concerns influence online behaviors of students on social media?" The results and conclusions are presented via the conduct of three different studies and the summary provides insights and explain the overall contribution of the research. For each study we developed a research model for which data was collected separately for each of these models. Hypotheses of each model were tested by partial least squares- structural equation modeling techniques using SmartPLS 2.0. Our findings confirm the hypotheses and showed that all the predictors positively influence online social networking behaviors. Active social media presence is operationalized as predictors such as SNS stalking awareness, Selective disclosure, desired differential persona, impression motivation, and information trustworthiness. Privacy concerns have been operationalized as SNS privacy awareness, technology awareness. Online behaviors have been operationalized as responsible image and reckless image.

Keyword searching and controlled vocabularies such as Library of Congress subject headings (LCSH) proved to work well together in automated technologies and the two systems have been considered complimentary. When the Internet burst onto the information landscape, users embraced the simplicity of keyword searching of this resource while researchers and scholars seemed unable to agree on how best to make use of controlled vocabularies in this huge database. This research looked at a controlled vocabulary, LCSH, in the context of keyword searching of a full text database. The Internet and probably its most used search engine, Google, seemed to have set a standard that users have embraced: a keyword-searchable single search box on an uncluttered web page. Libraries have even introduced federated single search boxes to their web pages, another testimony to the influence of Google. UNT's Thesis and Dissertation digital database was used to compile quantitative data with the results input into an EXCEL spreadsheet. Both Library of Congress subject headings (LCSH) and author-assigned keywords were analyzed within selected dissertations and both systems were compared. When the LCSH terms from the dissertations were quantified, the results showed that from a total of 788 words contained in the 207 LCSH …

Although there has been research conducted in the area of information seeking behavior in children, the research focusing on young children, more specifically on pre-kindergarten students, is almost nonexistent. Children at this age are in the preoperational developmental stage. They tend to display curiosity about the world around them, and use other people as a means to gain the information they are seeking. Due to the insistence from President Obama to implement pre-kindergarten programs for all low and middle class children, the need to understand the cognitive, emotional, and physical needs of these children is becoming increasingly imperative. To researchers, the actions displayed by these young children on a daily basis remain vital in determining the methods by which they are categorized, studies, and even taught. This study employed Deci and Ryan's self-determination theory (SDT), Dervin's sense-making theory, Kuhlthau''s information search process model (ISP), and Shenton and Dixon's microcosmic model of information seeking via people to lay the theoretical foundational framework. This ethnographic study aimed to fill the age gap found in information seeking literature. By observing young children in the school setting, I gained insight into how these children seek information. The resulting information collected via field observations and …

While journalists were once viewed as gatekeepers, dispensing news and information via one-way communication channels, their role as information provider has evolved. Nowhere is this more apparent than on the social networking site Twitter, where information seekers have unprecedented access to information providers. The two-way communication that these information seekers have come to expect can be challenging for organizations such as ESPN who have multiple Twitter accounts and millions of followers. By designating one team of people as responsible for the organization's largest Twitter account, SportsCenter, ESPN has sought to establish manageable methods of interacting with this account's followers, while furthering the goals of the organization and providing sports news around the clock. This study provides a better understanding of the group responsible for ESPN's SportsCenter Twitter account: the motivation and strategies behind the group's Twitter use as well as the dynamics of this network, such as information flow and collaboration. Relying on the Information Seeking and Communication Model, this study also provides a better understanding of information exchanges with those outside the network, specifically a selection of the account's Twitter followers. Additionally, the role of journalist as information provider and certain themes that emerged from the content of the …

Online communities of practice (CoPs) provide social spaces for people to connect, learn, and engage with one another around shared interests and passions. CoPs are innovatively employed within industry and education for their inherent knowledge management characteristics and as a means of improving professional practice. Measuring the success of a CoP is a challenge researchers are examining through various strategies. Recent literature supports measuring community effectiveness through the perceptions of its members; however, evaluating a community by means of member perception introduces complicating factors from outside the community. In order to gain insight into the importance of external factors, this quantitative study examined the influence of factors in the professional lives of educators on their perceptions of their CoP experience. Through an empirical examination of CoPs employed to connect educators and advance their professional learning, canonical correlation analysis was used to examine correlations between factors believed to be influential on the experiences of community members.

Mobile banking services have changed the design and delivery of financial services and the whole banking sector. Financial service companies employ mobile banking applications as new alternative channels to increase customers' convenience and to reduce costs and maintain profitability. The primary focus of this study was to explore the Saudi bank customers' perceptions about the adoption of mobile banking applications and to test the relationships between the factors that influence mobile banking adoption as independent variables and the action to adopt them as the dependent variable. Saudi customers' perceptions were tested based on the extended versions of IDT, TAM and other diffusion of innovation theories and frameworks to generate a model of constructs that can be used to study the use and the adoption of mobile technology by users. Koenig-Lewis, Palmer, & Moll's (2010) model was used to test its constructs of (1) perceived usefulness, (2) perceived ease of use, (3) perceived compatibility, (4) perceived credibility, (5) perceived trust, (6) perceived risk, and (7) perceived cost, and these were the independent variables in current study. This study revealed a high level of adoption that 82.7% of Saudis had adopted mobile banking applications. Also, the findings of this study identified a …