Digital Content Research Articles

Study of adoption of artificial intelligence technology-driven natural large language model-based chatbots by firms for customer service interaction

Purpose The purpose of this study was to comprehend the adoption of artificial intelligence (AI) technology-driven natural large language model (LLM)-based chatbots by customers. Design/methodology/approach A qualitative research study method was conducted. This was to explore managerial perspectives towards consumer centric technology adoption of AI plus LLM-based chatbots. This was specifically for AI-driven natural LLM-based chatbots services. The author conducted conducted in-depth personal interviews with 32 experts of digital content AI + LLM chatbot services. Thematic content analysis was undertaken to analyse the data. Findings The advent of natural language processing tools driven by AI technology chatbots has altered human-firm interaction. The research findings indicated that the push-pull-mooring (PPM) factors captured the phenomenon in the most comprehensive way. A total of 15 key factors influencing the adoption of AI technology-driven natural LLM-based chatbots by customers during firm customer interaction were identified in this study by the author. The thematic content analysis unraveled insights regarding transformed consumer adoptions towards AI-driven LLM-based chatbots by means of the PPM framework factors. Research limitations/implications The empirical research investigation contributed to the literature on the PPM theoretical framework. This was specifically in the context of adoption of AI technology-driven natural LLM-based chatbots by customers during firm customer interaction. Practical implications The research study insights would help managers to restructure and reconfigure their organizational processes. This would neccessiated a shift in firm-customer interactions as demanded because of the availability of AI technology-driven natural LLM-based chatbots by customers. Originality/value This research study was based upon the PPM theoretical framework. This study provided a unique analysis of the altered firm customer interaction needs and requirements. This was one of the first studies that applied the framework of PPM theory regarding the adoption of AI technology-driven natural LLM-based chatbots by customers.

Neural Mechanisms Associated With Postural Control in Collegiate Soccer and Non-Soccer Athletes.

Sport-specific training may improve postural control, while repetitive head acceleration events (RHAEs) may compromise it. Understanding the neural mechanisms underlying postural control may contextualize changes due to training and RHAE. The goal of this study was to determine whether postural sway during the Balance Error Scoring System (BESS) is related to white matter organization (WMO) in collegiate athletes. Collegiate soccer (N =33) and non-soccer athletes (N =44) completed BESS and diffusion tensor imaging. Postural sway during each BESS stance, fractional anisotropy (FA), and mean diffusivity (MD) were extracted for each participant. Partial least squares analyses determined group differences in postural sway and WMO and the relationship between postural sway and WMO in soccer and non-soccer athletes separately. Soccer athletes displayed better performance during BESS 6, with lower FA and higher MD in the medial lemniscus (ML) and inferior cerebellar peduncle (ICP), compared to non-soccer athletes. In soccer athletes, lower sway during BESS 2, 5, and 6 was associated with higher FA and lower MD in the corticospinal tract, ML, and ICP. In non-soccer athletes, lower sway during BESS 2 and 4 was associated with higher FA and lower MD in the ML and ICP. BESS 1 was associated with higher FA, and BESS 3 was associated with lower MD in the same tracts in non-soccer athletes. Soccer and non-soccer athletes showed unique relationships between sway and WMO, suggesting that sport-specific exposures are partly responsible for changes in neurological structure and accompanying postural control performance and should be considered when evaluating postural control after injury.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content, available at: http://links.lww.com/JNPT/A472).

Beyond the Hype : Building a Personalized Movie Experience with Content-Based Recommendation

This review paper provides a detailed analysis of how a movie recommendation system based on content was planned, executed and evaluated using Streamlit framework. The exponential expansion of digital content has led to the need for efficient recommendation systems, particularly in the realm of movies. In this respect, the proposed recommender system utilizes cosine similarity computations and content-based filtering methods to offer personalized film suggestions relying upon various features such as genres, keywords, castings as well as crews. The author further illustrates rigorous data preparation methods which encompass feature engineering, data collection and cleaning techniques. Furthermore, various other data sources such as TMDb API have been integrated to obtain detailed information about movies. The system, after a thorough study, shows that it has the ability of offering personalized movie recommendations that improve user engagement and experience. This paper examines broader implications of recommendation algorithms and argues their importance for improving happiness and content discovery in digital entertainment platforms. It also raises some common issues encountered during system development and advocates further research work aimed at enhancing recommendation algorithms and making them more flexible and scalable. In this way, it advances our understanding on how personalized content delivery can be applied to shape the landscape of digital entertainment through unmasking the complexities of recommendation systems.

Bicycling for Rehabilitation of Persons With Parkinson Disease: A Scoping Review.

Exercise is beneficial for persons with Parkinson disease (PwPD). The overarching purpose of this scoping review was to provide guidance to clinicians and scientists regarding current evidence for bicycling exercise for PwPD. A scoping review was conducted to examine the heterogeneous literature on stationary bicycling for PwPD to reduce motor symptoms and body function structure impairments, improve activities and motor performance, and reduce disease severity. The Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines were followed. PubMed, CINAHL, and PEDro were searched from inception to January 23, 2023. Articles reporting original data on relevant outcome measures were included. Search results were screened and articles were extracted. Data were analyzed quantitatively with percentages of significant and clinically meaningful findings and qualitatively to extract themes. Bicycling was categorized using bicycle types (assisted, nonassisted) and training modes (speed, aerobic, force). A high percentage of the 34 studies showed statistical significance for reducing motor symptoms (83%), body function structure impairments (78%), disease severity (82%), and improving activities (gait 72%, balance 60%). Clinically meaningful findings were achieved in 71% of the studies for reduction in disease severity and in 50% for improving gait. The literature on bicycling for PwPD has evolved from speed to aerobic studies. The terminology describing types of bicycling was simplified. Of all the outcomes reported, reduction of disease severity achieved the highest frequency of clinical meaningful improvements. Bicycling was comparable with other forms of aerobic training for walking speed and endurance. Opportunities for translation to practice and research are presented. for more insights from the authors (see the Video, Supplemental Digital Content 1 available at: http://links.lww.com/JNPT/A462).

Influence of Socioeconomic Factors on Access to Digital Resources for Education

Digital resources in education encompass a wide array of technological tools, online platforms, and digital content utilized to facilitate and enhance the learning process. They serve as invaluable supplements to traditional teaching methods, offering dynamic and diverse ways to impart knowledge, encourage engagement, and foster skill development among learners. This systematic review critically examines the influence of socioeconomic factors on access to digital resources for education by analyzing studies published between 2017 and 2024. The inclusion criteria prioritized empirical studies in English-language peer-reviewed journals or reputable conference proceedings, utilizing various research designs. The review involved a thorough search across databases like JSTOR, APA PsycNet, Wiley Online Library, ERIC, and Google Scholar. The study's analysis identified key themes, highlighting the profound influence of socioeconomic factors on technology access, engagement, and academic outcomes. The recurring theme of the digital divide emphasized disparities in device ownership, internet connectivity, and effective technology utilization. The nuanced exploration of parenting approaches, gender dynamics, and educational contexts added depth to understanding these influences. This study found the necessity for a holistic approach in educational planning, considering socioeconomic, cultural, and educational factors to effectively address challenges and disparities, ultimately fostering equitable access to digital resources in education.

The environmental sustainability of digital content consumption

Internet access has reached 60% of the global population, with the average user spending over 40% of their waking life on the Internet, yet the environmental implications remain poorly understood. Here, we assess the environmental impacts of digital content consumption in relation to the Earth’s carrying capacity, finding that currently the global average consumption of web surfing, social media, video and music streaming, and video conferencing could account for approximately 40% of the per capita carbon budget consistent with limiting global warming to 1.5 °C, as well as around 55% of the per capita carrying capacity for mineral and metal resources use and over 10% for five other impact categories. Decarbonising electricity would substantially mitigate the climate impacts linked to Internet consumption, while the use of mineral and metal resources would remain of concern. A synergistic combination of rapid decarbonisation and additional measures aimed at reducing the use of fresh raw materials in electronic devices (e.g., lifetime extension) is paramount to prevent the growing Internet demand from exacerbating the pressure on the finite Earth’s carrying capacity.

유아 디지털 역량 구성요소 탐색 연구

Objectives While many studies have explored the components of digital competence, essential in our 21st-century society, their primary focus has been on adults and students from elementary through high school. This leaves a noticeable research gap concerning digital competences for preschool-aged children. This study seeks to address that gap, aiming to identify and outline digital competence sub-domains and content appropriate for preschoolers. Methods For this study, a literature review was conducted on 33 studies sourced from databases, employing snowballing techniques. The digital competences of preschoolers were delineated by re-categorizing and renaming those identified in the literature, with a focus on essential content and keywords. This process also involved considering overlaps, appropriateness, comprehensiveness, equivalence, and exclusiveness among the titles and scopes of components, and developmental characteristics of early childhood. Results As the results, six areas of digital competence for preschool children were identified: 1) Understanding of digital media operation and usage, 2) Digital media and content creation and appreciation, 3) Digital initiative and problem-solving, 4) Digital emotional intelligence, 5) Digital safety and healthy habits, and 6) Digital communication and participation. Additionally, this study detailed the components of each area under the facets of knowledge, skills, attitudes, and values. Conclusions The study findings indicate that the digital competences for preschool-aged children span technical, cognitive, socio-emotional, and ethical dimensions. As such, they should be holistically nurtured across the five learning areas of the national curriculum.

Exposing Fake Faces Through Deep Neural Networks Combining Content and Trace Feature Extractors

Abstract: In recent times, the proliferation of free deep learning-based software has facilitated the emergence of convincing facial swaps in videos, commonly referred to as ‘DeepFake’ (DF) videos. ‘Deep learning’ has improved the realism and accessibility of creating fake digital video content, which was previously attainable through traditional visual effects. These AIgenerated media, often referred to as DF, present a dual challenge: their creation is relatively straightforward using AI tools, yet their detection poses a significant hurdle. We address this challenge by employing Convolutional Neural Networks (CNNs) and ‘Recurrent Neural Networks’ (RNNs) to identify ‘DFs’. Specifically, our system utilizes a CNN to obtain frame level characteristics and apply them to train an RNN capable of identifying temporal inconsistencies introduced by DF creation tools. We evaluate our approach on a substantial dataset of fake videos and demonstrate competitive performance with a straightforward architecture.

Menuju Super Smart Era 5.0: Tantangan Baru dan Pengembangan Kurikulum Pendidikan Agama Islam

This research aims to analyze and explore the challenges related to the problems faced in Islamic religious education in the super smart era 5.0, as well as the development that must be done on the Islamic religious education curriculum in order to be relevant to the super smart era 5.0. This research uses qualitativ method by using descriptiv-analysis technique to analyze and describe the data and findings of this research. Then the approach used is Library research in the study of research and the data source of this research is obtained from various sources of scientific studies such as articles, journals, books, documents, and other data relevant to this research. The results in this study are (1) the development of technology in the super smart era 5.0 provides challenges in the sustainability of Islamic religious education, such as preventing moral degradation in students, preparing educators and students to be able to integrate the use of technology in education, the difficulty of filtering digital content, the influence of social media, the emergence of addictive properties, providing an understanding of the importance of balance between understanding religion and technology, the difficulty of maintaining data security, and (2) the Islamic religious education curriculum must be developed to answer the problems and needs of society, namely by using Tyler's goal-oriented curriculum development model.

Disabled content creators on OnlyFans: Empowerment, representation, and precarity

This paper explores the intersection of disability and digital content creation on OnlyFans, a subscription-based social media platform known for its diverse creator community. Through a content analysis of 10 news articles and 22 Reddit threads focused on disability and OnlyFans, we investigate the experiences of disabled content creators in this dynamic digital landscape. OnlyFans has emerged as a promising employment option for people with disabilities, offering financial stability, independence, and a newfound sense of career control. However, concerns persist regarding potential impacts on disability-related benefits, highlighting the need for clearer support mechanisms. Furthermore, the platform has redefined power dynamics, allowing creators to reclaim agency over their narratives, particularly during the pandemic. It has not only transformed financial prospects but also served as a tool for managing health conditions and boosting self-confidence. These findings underscore OnlyFans’ role in fostering inclusivity and financial empowerment for disabled individuals. Our analysis also unveils broader societal challenges linked to disability and sexuality, including the de-sexualization and hypersexualization of disabled individuals. This emphasizes the urgency of cultivating a more inclusive understanding of sexuality and consent. Additionally, the fetishization of disabled people, termed “devotees,” adds complexity to the conversation, underlining the importance of respecting autonomy. By shedding light on this underexplored intersection, our research seeks to contribute to a more informed discourse on disability, digital content creation, and online platforms. Ultimately, it highlights the imperative of ongoing exploration and support for disabled content creators within the evolving digital landscape.

Controlling 3D Models in VR using Hand Gestures

Abstract: The fusion of hand gesture detection technology with virtual reality (VR) environments enables users to interact organically with three-dimensional models. Utilizing VR headsets equipped with advanced hand tracking algorithms, individuals can engage with virtual objects through intuitive gestures, enriching their immersive experiences. Software development entails carrying out sophisticated gesture recognition algorithms and the assignment of specific actions to these gestures, such as grasping, rotating, and resizing 3D models. These interactions mirror real-world manipulations, empowering users to seamlessly explore and modify digital content. Furthermore, gestural menu systems streamline user interactions by offering convenient access to additional features. Rigorous testing and optimization processes ensure precision, responsiveness, and optimal performance, enhancing the overall user satisfaction.

PDF Reader Chatbot

Abstract: As digital content grows, quality data management and solutions are needed. This work presents a unique application (chatbot PDF reader) designed to improve users' interaction and experience with PDF documents. Through interactive communication, the chatbot allows users to use machine learning and natural language processing (NLP) to process PDF files. Users can ask questions, get details, extract specific files, and browse PDFs through simple queries. Chatbots use cognitive and text-based technologies to provide clear and relevant responses, improve accessibility, and understand information. The PDF reader chatbot app hopes to improve accessibility and productivity for users across multiple platforms by simplifying information retrieval, understanding, and navigation. This project is designed to create a new PDF reader chatbot that uses NLP and machine learning to improve user interaction with PDFs. Information. The goal is to improve the user experience by using commands to search for files, extract them, and annotate PDFs. Our goal is to make information more accessible, to be remembered and understood faster, and to make customers more productive.

K-WISC-V Processing Speed Index Analysis to Verify the Effectiveness of ADHD Symptom Improvement Using Pediatric Digital Content

The most common treatment approach for children diagnosed with attention deficit hyperactivity disorder (ADHD) involves drug therapy; however, persuading parents and motivating children in the early stages of treatment is challenging. Consequently, there is a growing interest among parents of children with ADHD in non-drug therapies. Moreover, recent advancements in information and communication technology have increased the accessibility of digital treatments for ADHD and non-drug therapy content. However, some challenges persist in confirming specific and objective effects. In this retrospective study, we developed game-type digital therapy content for children aged 6–16 years and monitored improvements in ADHD symptoms using the K-WISC-V subtest processing speed index. The analysis revealed that the rate of change in the sum of converted scores on the 14th day was 0.64% lower in the experimental group compared with the control group; however, on the 28th day, the rate of change increased by 6.93%. This suggests that the supplementary use of Neuroworld DTx therapy proved effective for visual enhancement. Furthermore, improvements were observed in visual discrimination, short-term memory, and motor cooperation abilities. Consequently, game-based digital content is an effective adjunctive therapy for children dealing with ADHD.

Investigating the Relationship between Digital Literacy and TPACK Levels of Pre-Service English Teachers

This mixed methods study explores the correlation between digital literacy and Technological Pedagogical Content Knowledge (TPACK) among pre-service English teachers at a Turkish state university. With 118 junior and senior participants, the study employs the Digital Literacy Scale and TPACK-Deep Scale for quantitative data, supplemented by focus group interviews for qualitative insights. Overall, pre-service teachers exhibited high TPACK and digital literacy levels, except for a medium proficiency level. Females scored higher in ethics. Significant differences emerged among participants with and without educational technology training, impacting digital literacy, TPACK, exertion, and proficiency. Pearson correlation analysis established a positive relationship between digital literacy and TPACK, with regression analysis identifying digital literacy as a predictor of TPACK. Qualitative findings underscore pre-service EFL teachers' perceptions of digital competence and TPACK. digital literacy ,TPACK, digital competence , pre-service English teachers

Evolution from Traditional to Digital Storytelling as an Instructional Approach in English Conversation Courses

In the current Palestinian context, proficiency in English has become a crucial requirement. One of the methods employed to enhance this skill is storytelling. However, given the ever-advancing technology, there is a growing need for storytelling methods that break free from spatial and temporal limitations. As we navigate the digital era, the transformation from conventional to digital storytelling becomes imperative. This research aims to explore how this transition unfolds within the framework of English language courses in Palestine. Additionally, the study seeks to uncover the specific steps taken to create digital storytelling content in English tailored to the Palestinian context. Utilizing the Research and Development approach with the ADDIE model, the findings highlight the effective incorporation of digital storytelling as a learning method in Palestinian English language courses.

Исследование взаимосвязи данных о результате и процессе выполнения заданий при оценке цифровой грамотности

<p style="text-align: justify;">Measuring complex latent constructs is challenging because of their multi-dimensionality. In this context, computer-based assessments have gained popularity due to its ability to handle large diverse data. The aim of the study is to investigate the interrelationship between performance, time, and actions in computer-based digital literacy assessment. The study involved more than 400 8<sup>th</sup>-grade schoolchildren (approximately 14—15 years old) from secondary schools in Russia. A subset was obtained from indicators capturing the demonstration of analysis of data, information, and digital content, which is a component of the information literacy in the digital literacy framework. The data was used to create latent models in the structural equation modeling framework. Confirmatory one-factor model for the Performance factor showed a good fit to the data (CFI=1; TLI=1; RMSEA=0). The model with dependencies among indicators demonstrated improved model fit (χ<sup>2</sup><sub>(18)</sub>=510,65; p=0,05) compared to the model without such dependencies. The results suggest that performance, time, and actions are interdependent. The findings underscore the need for a comprehensive approach to assessing digital literacy that accounts for these interdependencies, as well as investigating behavioral patterns of interaction with a large amount of information in the digital environment.</p>

Assessing Data Quality in the Age of Digital Social Research: A Systematic Review

While survey data has long been the focus of quantitative social science analyses, observational and content data, although long-established, are gaining renewed attention; especially when this type of data is obtained by and for observing digital content and behavior. Today, digital technologies allow social scientists to track “everyday behavior” and to extract opinions from public discussions on online platforms. These new types of digital traces of human behavior, together with computational methods for analyzing them, have opened new avenues for analyzing, understanding, and addressing social science research questions. However, even the most innovative and extensive amounts of data are hollow if they are not of high quality. But what does data quality mean for modern social science data? To investigate this rather abstract question the present study focuses on four objectives. First, we provide researchers with a decision tree to identify appropriate data quality frameworks for a given use case. Second, we determine which data types and quality dimensions are already addressed in the existing frameworks. Third, we identify gaps with respect to different data types and data quality dimensions within the existing frameworks which need to be filled. And fourth, we provide a detailed literature overview for the intrinsic and extrinsic perspectives on data quality. By conducting a systematic literature review based on text mining methods, we identified and reviewed 58 data quality frameworks. In our decision tree, the three categories, namely, data type, the perspective it takes, and its level of granularity, help researchers to find appropriate data quality frameworks. We, furthermore, discovered gaps in the available frameworks with respect to visual and especially linked data and point out in our review that even famous frameworks might miss important aspects. The article ends with a critical discussion of the current state of the literature and potential future research avenues.

Analisis Kinerja Humas pada Marketing Kegiatan Open House Politeknik Pariwisata Prima Internasional

In organizing an activity, of course, it requires the role of public relations as a connector of information to the community. Public relations from the Prima International Tourism Polytechnic made several efforts in socializing open house activities. Socialization both through digital content, e-brochures to visits to schools conventionally. Through a descriptive participative method and filling out questionnaires, random sampling was carried out and a total of 130 respondents were found. Assisted by field observation and documentation activities, data interpretation can be done more clearly and in detail. In some questionnaire questions found positive results and based on these results, it can be assessed the performance process of public relations that can exceed the expectations of management. There are several things that can still be improved in the future so that open house activities by the Prima International Tourism Polytechnic are more mature in the process of implementation.

Comparison of WebSocket and Hypertext Transfer Protocol for Transfer of Electronic Health Records.

Electronic health records (EHR) emerged as a digital record of the data that is generated in the healthcare. In this paper the transfer times of EHRs using the Hypertext Transfer Protocol and WebSocket in both local network and wide area network (WAN) are compared. A python web application to serve Fast Health Interoperability Resources (FHIR) records is created and the transfer times of the EHRs over both HTTP and WebSocket connection are measured. 45000 test Patient resources in 20, 50, 100 and 200 resources per Bundle transfers are used. WebSocket showed much better transfer times of large amount of data. These were 18 s shorter in the local network and 342 s shorter in WAN for the 20 resource per Bundle transfer. RESTful APIs are a convenient way to implement EHR servers; on the other hand, HTTP becomes a bottleneck when transferring large amount of data. WebSocket shows better transfer times and thus its superiority in such situations. The problem can be addressed by developing a new communication protocol or by using network tunneling to handle large data transfer of EHRs.

Linguistic dissection of nursing handoffs: Implications for patient safety in varied-acuity hospital settings.

This study examines the intricate language and communication patterns of nurse-to-nurse handoffs across three units with varying patient acuity levels and nurse-patient ratios, seeking to identify linguistic factors that may affect the quality of information transfer and patient outcomes. A mixed-methods cross-sectional design. This study used the Nurse-to-Nurse Transition of Care Communication Model to explore the content and meaning of language in nursing handoffs within a large academic medical centre. Data were collected on three units through digital audio recordings of 20 handoffs between June and September 2022, which were transcribed and analysed using the Linguistic Inquiry Word Count programme. Trustworthiness was established by adhering to COREQ and STROBE guidelines for qualitative and quantitative research, respectively. Analysis revealed a preference for casual, narrative language across all units, with ICU nurses demonstrating a higher confidence and leadership in communication. Cognitive processes such as insight and causation were found to be underrepresented, indicating a potential area for miscommunication. Communication motives driven by affiliation were more pronounced in ICU settings, suggesting a strong collaborative nature. No significant differences were observed among the units post multiple testing adjustments. Speech dysfluencies were most pronounced in ICU handoffs, reflecting possible stress and cognitive overload. The study highlights the need for improved communication strategies such as interventions to enhance language clarity and incorporating technological tools into handoff processes to mitigate potential miscommunications and errors. The findings advance nursing science by highlighting the critical role of nuanced language in varied-acuity hospital settings and the necessity for structured nurse education in handoff communication and standardized handoff procedures. This study underscores the critical role of language in nurse-to-nurse handoffs. It calls for enhanced communication strategies, technology integration and training to reduce medical errors, improving patient outcomes in high-acuity hospital settings. Nurses only.