Telematics and Informatics Reports最新文献

{"title":"Model to explain use of E-Government service change","authors":"Ngoanamosadi Stanford Mphahlele ,&nbsp;Raymond Mompoloki Kekwaletswe ,&nbsp;Tshinakaho Relebogile Seaba","doi":"10.1016/j.teler.2025.100190","DOIUrl":"10.1016/j.teler.2025.100190","url":null,"abstract":"<div><div>The E-Government services have been adopted by public administration organizations across the globe to improve efficiency and effectiveness in the provision of public services and elimination of an administrative burden. However, notwithstanding the latent benefits of E-Government services, use of them by public service functionaries remains inadequate and also there is dearth of research on the use of E-Government services by public service functionaries in emerging market. This paper aims to model and validate factors that influence public service functionaries to use the E-Government service. A quantitative survey questionnaire was developed from literature, to collect data from 215 randomly selected users of E-Government service and data was analyzed using partial least square-structural equation modelling (i.e. measurement and structural models). Study results evince that use of E-Government service in emerging market higher education institutions requires satisfaction of user community, user community involvement and indicators for performance. This study offers a new integrated model based on Unified Theory of Acceptance and Use of Technology, Information Systems Success Model key factors and facilitating conditions such as user community involvement and performance indicators as novel measurement dimensions and determinants of use of E-Government services. Policy makers and executives may use the model to measure and improve the use of E-Government services in emerging markets and beyond.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"17 ","pages":"Article 100190"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review on the use of immersive technology in space research","authors":"Mohammad Amin Kuhail,&nbsp;Aymen Zekeria Abdulkerim,&nbsp;Erik Thornquist,&nbsp;Saron Yemane Haile","doi":"10.1016/j.teler.2025.100191","DOIUrl":"10.1016/j.teler.2025.100191","url":null,"abstract":"<div><div>Immersive technologies, such as virtual reality (VR), augmented reality (AR), and mixed reality (MR), create digital experiences by merging real and virtual worlds, offering enhanced spatial engagement and sensory immersion. This study examines immersive technologies’ possible advancements to space research, along with application examples in data visualization, astronaut training, and mission planning. Based on the analysis of 44 papers, immersive technologies can assist in diverse areas as varied as procedure guidance, astronaut training, and health-related aspects involving using devices such as HTC Vive, Microsoft HoloLens, and Oculus. The most critical challenges are, by far, difficulties in the selection of participants for research, authenticity in the representation of virtual environments, and technical problems. Overall, our findings indicate the utility of immersive systems through enhanced effects, mostly in training, data interpretation, and human-machine interaction. Future research should involve the continuation of studies using larger sample sizes, interoperability, computational power, user comfort, and machine learning.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"17 ","pages":"Article 100191"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ALZENET: Deep learning-based early prediction of Alzheimer's disease through magnetic resonance imaging analysis","authors":"Md Asaduzzaman,&nbsp;Md. Khorshed Alom,&nbsp;Md. Ebtidaul Karim","doi":"10.1016/j.teler.2025.100189","DOIUrl":"10.1016/j.teler.2025.100189","url":null,"abstract":"<div><div>Alzheimer's Disease (AD) is a particular form of dementiacharacterized by a steady decline in brain function and cognitive abilities, leading to memory loss, disorientation, and trouble doing daily tasks. It generally occurs in people aged over 65, and currently, there are around 55 million Alzheimer's patients which is becoming a growing concern, and the death rate due to AD has increased significantly. Existing ways of categorizing patients include medical records, cognitive testing, and magnetic resonance imaging (MRI), which assist in diagnosing the condition, but a deep learning-based approach helps to discover Alzheimer's at an early stage. In this study, we propose an Alzheimer Recognition Ensemble Network (ALZENET) for classifying various stages of Alzheimer using MRI data. The study utilized the Kaggle MRI-based AD dataset, which comprised a total of 6,400 MRI images across four distinct classes. To address the significant class imbalance present in the dataset, the SMOTE technique was employed. Our ensemble model, which combines VGG16, Inception V3, and ResNet50 with a multi-layered CNN architecture, achieved a test accuracy of 97.31 %, significantly outperforming existing approaches in Alzheimer's disease classification. Additionally, a deep learning-based web application was developed to assist doctors in efficiently identifying different stages of Alzheimer's disease. This approach provides a promising tool for the early and accurate detection of Alzheimer's disease, potentially improving patient outcomes.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"17 ","pages":"Article 100189"},"PeriodicalIF":0.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The mediating role of attitude towards the technology in shaping artificial intelligence usage among professionals","authors":"Md Mehedi Hasan Emon ,&nbsp;Tahsina Khan","doi":"10.1016/j.teler.2025.100188","DOIUrl":"10.1016/j.teler.2025.100188","url":null,"abstract":"<div><div>This study aims to explore the factors influencing the adoption of artificial intelligence (AI) among professionals in Bangladesh, with a particular focus on the mediating role of attitudes toward AI in the adoption process. The research is grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT). Data were collected through a structured questionnaire distributed to 551 professionals across various sectors in Bangladesh, yielding 330 usable responses. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed hypotheses. The quantitative approach facilitated a comprehensive examination of direct and mediated relationships between constructs. The findings indicate that performance expectancy, effort expectancy, social influence and facilitating conditions significantly influence behavioral intentions to adopt AI. Attitudes toward AI were found to mediate the relationship between these factors and the intention to use AI. Notably, performance expectancy, social influence and facilitating conditions had the strongest effects on behavioral intention, while effort expectancy was also important predictors. The study is limited by its reliance on self-reported data, which may be subject to social desirability bias. Future research could explore longitudinal designs and additional factors such as organizational culture and environmental influences. The findings provide actionable insights for policymakers and organizational leaders to develop targeted strategies that promote AI adoption among professionals in developing countries. Understanding AI adoption in a developing country can help bridge the digital divide and promote inclusive technological growth. This study contributes to the literature by integrating UTAUT in a developing country context, highlighting the mediating role of attitudes in AI adoption.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"17 ","pages":"Article 100188"},"PeriodicalIF":0.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on smart city construction in the context of public culture","authors":"Yuhang Zhang ,&nbsp;Jiaji Gao","doi":"10.1016/j.teler.2025.100187","DOIUrl":"10.1016/j.teler.2025.100187","url":null,"abstract":"<div><div>This paper aims to explore smart city construction in the context of public culture in order to understand the new opportunities and challenges of urban development in the context of the digital era. The emergence of digital media such as interactive technology and virtual reality has changed the service mode of traditional public culture, providing more diversified channels for the public to express their opinions and participate in urban and social governance. However, the social value of humanistic factors such as public culture has been seriously neglected in the construction of smart cities, and there is an urgent need for its value-orientation to put the overly technology-focused enterprise-led smart city construction back on the right path. This paper discusses the development status of smart cities, the advantages and shortcomings of smart cities, and the importance of public culture. In this paper, we analyse the current development status, diverse characteristics, advantages and shortcomings of Chinese smart cities in the context of four cities, namely Beijing, Shanghai, Shenzhen and Hangzhou, and point out the lack of public culture construction in Chinese smart cities. Further, the research delineates five key values of public culture in smart city development and constructs a comprehensive evaluation framework comprising 31 indicators across six dimensions: supply, participation, innovation, fairness, suitability, and richness. Based on this framework, six recommendations are proposed for the development of public cultural initiatives in smart cities to enhance their positive impact on urban development, and to provide a new perspective for promoting the construction of a better and more warm-hearted smart city.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"17 ","pages":"Article 100187"},"PeriodicalIF":0.0,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143159801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multitasking Moose Migration: Examining media multimodality in slow-TV nature programming","authors":"Erica von Essen ,&nbsp;Minh-Xuan A. Truong","doi":"10.1016/j.teler.2025.100186","DOIUrl":"10.1016/j.teler.2025.100186","url":null,"abstract":"<div><div>Media multitasking has become an integrated part of much media consumption. While some celebrate the practice for activating the viewer and connecting them to virtual others, perhaps discussing the show in real-time, critics point to cognitive costs and reduced productivity. A perhaps more scathing critique has been added to those multitasking while watching nature documentaries: you are already consuming nature through a screen, but now your focus is further fragmented across multiple apps. The implication is that this is not an authentic way of experiencing nature, at a time—the Digital Anthropocene—when direct nature experiences dwindle. In this study, we examine viewers’ engagement with different sorts of media and ‘real-life’, physical multitasking during a slow-TV nature documentary, The Great Moose Migration in Sweden. We ask what these tasks mean not only for one's enjoyment and relaxation, but more broadly for nature engagement in the Digital Anthropocene, and connection to others over nature as something shared. Through surveys and digital ethnography of the Great Moose Migration, our research shows how multitasking around nature contributes to a potentially transformative experience. It is a viewer experience that is at once personal through increased customization options and layering of different activities. Second, it is communal in terms of connecting diverse audiences on platforms. Our contribution is in showing that taskscapes are now becoming multi-taskscapes, which comprise both physical and digital tasks over nature. These multi-taskscapes are actively shaped by users who engage with them. This changes both the media landscape and the way we engage with nature.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"17 ","pages":"Article 100186"},"PeriodicalIF":0.0,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143159040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors influencing intentions to use QRIS: A two-staged PLS-SEM and ANN approach","authors":"Rizka Ramayanti ,&nbsp;Zubir Azhar ,&nbsp;Nik Hadian Nik Azman","doi":"10.1016/j.teler.2024.100185","DOIUrl":"10.1016/j.teler.2024.100185","url":null,"abstract":"<div><div>This study investigates the factors influencing users' intention to utilise Indonesia's Quick Response Code Indonesian Standard (QRIS). It employed a questionnaire survey with 996 QRIS users in Indonesia as respondents, with response rate 95. 95 %. This study analysed the data using the structural equation modelling – artificial neural network (SEM-ANN) approach. The data were evaluated using SmartPLS 4.0 and SPSS 26 for artificial neural network (ANN) analysis. The SEM analysis suggests that Habit, Hedonic Motivation, Social Influence, and Price Value are the primary factors influencing QRIS intention and usage in Indonesia. Performance expectancy, effort expectancy, and facilitating factors are not significantly related to users' intention to use QRIS. User intention significantly influences the actual usage of QRIS. The importance-performance matrix analysis (IPMA) test indicates that hedonic desire is the most significant factor in predicting the intention to use QRIS compared to other variables. The findings demonstrated that hedonic motivation was the primary determinant in forecasting the intention to use QRIS.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"17 ","pages":"Article 100185"},"PeriodicalIF":0.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143159410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Copula entropy regularization transformer with C2 variational autoencoder and fine-tuned hybrid DL model for network intrusion detection","authors":"Srinivas Akkepalli ,&nbsp;Sagar K","doi":"10.1016/j.teler.2024.100182","DOIUrl":"10.1016/j.teler.2024.100182","url":null,"abstract":"<div><div>In cyber security, Intrusion Detection Systems (IDS) act as a network security tool, in which computational complexity and dynamic IDS detection issues are observed by conventional studies. In this paper, a novel Copula Entropy Regularization Transformer with<span><math><mrow><mspace></mspace><msup><mrow><mi>C</mi></mrow><mn>2</mn></msup></mrow></math></span> variational autoencoder and Fine-tuned Hybrid Deep Learning (DL) model is introduced for Network Intrusion Detection. In previous IDSs studies, flow-based feature extraction techniques are concentrated, which is ineffective for detecting high-dimensional anomaly data. This work proposes a novel Copula Entropy Regularization Transformer with <span><math><msup><mrow><mi>C</mi></mrow><mn>2</mn></msup></math></span> variational autoencoder for regularizing the feature extraction and feature selection, using a self-paced regularization mechanism. Recently, the pull towards IDS with Zero-Day (ZD) attacks gets increased, and the existing studies over it, possess high False-Negative Rates (FNR), leading to limited practical usage. For reducing the FNR and to improve the identification of ZD, a Fine-tuned Hybrid DL attack prediction model with deep Transudative Federated Transfer Learning (TFTL) is proposed. This gives out a map connection between known and zero-day attacks, data points for different dynamic network traffic, and classification of known and unknown network attacks. To investigate the ZD attack detection with the proposed model, it is validated in Python platform with Network Intrusion Detection dataset and the performance results show that the work gives better accuracy (98.54%), F1-score (97.5%), recall (97.302%), precision (98.2%) and detection rate of about 0.975%, while the comparative results show that this approach achieves a comparatively low false positive rate of 0.1, yielding high detection rate, and high accuracy in predicting attacks.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"17 ","pages":"Article 100182"},"PeriodicalIF":0.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143159409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Designing mobile-based tele dermatology for Indonesian clinic using user centred design: Quantitative and qualitative approach","authors":"Fransiskus David Yudaputra,&nbsp;Fatima Azzahra Triputra,&nbsp;Putu Wuri Handayani,&nbsp;Nabila Clydea Harahap","doi":"10.1016/j.teler.2024.100180","DOIUrl":"10.1016/j.teler.2024.100180","url":null,"abstract":"<div><div>This study was motivated by the increasing health services for skincare but limited availability of dermatologists in Indonesia, especially for remote areas. The health sector in Indonesia, including the dermatology and beauty sectors, has implemented technology to increase accessibility to health workers. Currently, there are several health facilities that have developed applications to support remote skin consultations (teledermatology) in Indonesia. This study aims to design a teledermatology application for clinics using a user-centered design (UCD) approach. UCD consists of understand context of use, specify user requirements, design and evaluate the prototypes. We used qualitative approach for understanding the problems, requirements and designing the low-fidelity prototype. Then, we used quantitative and qualitative approach for evaluating the prototypes. We collected quantitative data using an online questionnaire taken by 107 respondents and interviews with seven respondents. We found that teledermatology features, such as consultations and reminder notifications for self-care, are important to support dermatology activities. Our findings concern the teleconsultation feature, which still requires communication using WhatsApp for initial screenings. The quantitative evaluation resulted in a system usability scale score of 72.5, described as within the range of acceptability. Meanwhile, the post-study system usability questionnaire score reached an average value of 2.239, indicating that the usability of the application is good. The results of this study can be utilized by teledermatology application developers to improve their services.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100180"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Satisfied but no payment: The impact of perceived value on continuance intention and purchase intention in music streaming services","authors":"Kittiporn Sae-tae,&nbsp;Qian Wang","doi":"10.1016/j.teler.2024.100179","DOIUrl":"10.1016/j.teler.2024.100179","url":null,"abstract":"<div><div>The prevalence of digital music streaming has changed the way people listen to music. Over the past few years, digital music has developed, and streaming music over the Internet is a popular way people listen to music. While many reports focus on digital music and music piracy innovations, only a few applications in economic analysis in terms of the customer's willingness to pay for music services should be considered, especially in Thailand, where the country's digital infrastructure has been developing. This study presents the factors influencing perceived value and purchase intention towards music streaming in Thailand with an extended technology acceptance model and a deep understanding of users’ perceived value, satisfaction, and continuance intention in the Thai context. The research investigates future purchase intentions among freemium and premium users, providing a comprehensive view of potential consumer behavior in the music streaming market. The proposed model was empirically evaluated using an online questionnaire-based survey of 443 respondents about the perceived use of music streaming services in Thailand. Structural Equation Modelling (SEM) technique was used to analyze the data. The results indicated that perceived usefulness, perceived ease of use, and perceived enjoyment were directly and positively correlated with perceived value. Besides, perceived value was directly and positively correlated with satisfaction, continuance intention, and purchase intention. Regardless, satisfaction and continuance intention could not predict purchase intention significantly. In the Thai context, consumer satisfaction and continuance intention with music streaming in Thailand are not a good driving factor in suggesting purchase intention. Furthermore, music streaming content, users’ emotional responses, and feelings play a crucial role in the decision to use and subscribe. The results provided further insight into music application market trends and built an understanding of Thai music consumer behavior.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100179"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}