https://elib.vku.udn.vn/handle/123456789/583 Thu, 02 Apr 2026 12:11:15 GMT 2026-04-02T12:11:15Z https://elib.vku.udn.vn/handle/123456789/6242 Title: Lecture Notes in Networks and Systems (LNNS,volume 1581): The 14th Conference on Information Technology and Its Application Authors: Nguyen, Ngoc Thanh; Huynh, Cong Phap; Nguyen, Thanh Thuy; Le, Khac Nhien An; Sopheap, Seng; Nguyen, Quang Vu Description: Lecture Notes in Networks and Systems (LNNS,volume 1581); The 14th Conference on Information Technology and Its Applications (CITA 2025); Proceedings of the International Conference CITA 2025 Thu, 01 Jan 2026 00:00:00 GMT https://elib.vku.udn.vn/handle/123456789/6242 2026-01-01T00:00:00Z https://elib.vku.udn.vn/handle/123456789/6241 Title: Factors Affecting the Adoption Intention of Using Fintech Payments: A Case in the Tourism Sector Authors: Luong, Thuy Tien; Ngo, Hai Quynh Abstract: Fintech is increasingly asserting its role in the financial sector with many advanced payment products and services, creating strong competition with traditional banking services. In the context of fierce competition in the payment market, understanding customer behavior when using Fintech services is extremely important, especially in the tourism sector. This study aims to identify the factors that influence both customer intention and trust in using Fintech payments, while also emphasizing the central role of ease of use and transformation. Using the extended Technology Acceptance Model (TAM), the study integrates factors such as user innovation, government support, brand image, and risk perception to clarify the mechanism of trust formation and behavioral intention to accept Fintech payments. The results show that risk perception is an important factor in measuring the influence of these relationships, whereas brand perception and government support are the factors with the least impact on the intention to adopt Fintech payment services. An important implication of the study is the integration of these factors into the technology acceptance model in the Fintech context, which has addressed the psychological and practical factors of technology application in life that academic research is very interested in. In addition, the results also provide practical suggestions for Fintech companies in optimizing user experience and promoting digital transformation, thereby meeting customer needs and increasing competitive advantage. Description: Lecture Notes in Networks and Systems (LNNS,volume 1581); The 14th Conference on Information Technology and Its Applications (CITA 2025) ; pp: 3-20 Thu, 01 Jan 2026 00:00:00 GMT https://elib.vku.udn.vn/handle/123456789/6241 2026-01-01T00:00:00Z https://elib.vku.udn.vn/handle/123456789/6240 Title: The Role of Emotional Experience in Student Engagement on E-Learning Platforms: An Extended Technology Acceptance Mode Authors: Phan, Dieu My; Truong, Hoang Yen; Ngo, Hai Quynh Abstract: E-learning platforms have become one of the mainstream learning methods in the modern education system, especially after the Covid-19 pandemic. They have achieved unexpected success in supporting seamless and cost-effective training but also face challenges in terms of learner engagement, as participation rates in these courses are lower than in traditional methods. Additionally, emotional experiences have been shown to affect motivation, concentration, and knowledge acquisition. Therefore, this study will evaluate the impact of emotional experiences on student engagement in the E-learning environment, where the invisibility of services is more pronounced. The results show that emotional experience factors have the strongest impact on student attitudes and engagement, interacting with the factors in the TAM model. This study also assessed the impact of perceived ease of use, perceived effectiveness, and social interaction on student engagement and the intention to continue using the E-learning platform. Several implications are proposed, including the application of augmented reality, virtual reality, and artificial intelligence, which will offer attractive opportunities for educational systems to improve the student experience, thereby enhancing learning and teaching effectiveness for training institutions. Description: Lecture Notes in Networks and Systems (LNNS,volume 1581); The 14th Conference on Information Technology and Its Applications (CITA 2025) ; pp: 21-34 Thu, 01 Jan 2026 00:00:00 GMT https://elib.vku.udn.vn/handle/123456789/6240 2026-01-01T00:00:00Z https://elib.vku.udn.vn/handle/123456789/6239 Title: An Effective Method for Fall Detection Based on YOLO in IoT Applications Authors: Vo, Hoang Tu; Nguyen, Thien Nhon; Chau, Mui Kheo; Le, Huan Lam; Pham, Tien Phuc Abstract: Falls in the elderly are a serious and common problem, often leading to injury and even death. The consequences of such accidents go beyond physical harm, often including mental and psychological suffering for both those affected and their families. Furthermore, the economic burden of falls on health care systems is enormous, as it includes medical costs, rehabilitation costs, and potential long-term care needs. There have been many studies conducted in an effort to detect falls for warning systems based on vision-based approaches. However, these methods face challenges such as low accuracy rate and high computational cost that are not suitable for Internet of Things (IoT) applications. Therefore, in this study, we propose two effective methods with two scenarios for the task of fall detection in IoT applications. The first method applies YOLOv8 Pose to detect people. Then, calculate the height and width of the bounding box and calculate the threshold based on the difference between them. The second method uses the YOLOv8 and YOLOv9 model to train a fall detection model on the fall detection dataset. When a fall is detected, a warning message including a fall image and time is sent to relatives using the telegram application. Experimental results demonstrate that both proposed methods based on YOLO achieve high accuracy in detecting human falls. This research offers meaningful solutions in practice and integration into IoT systems to detect falls early. Description: Lecture Notes in Networks and Systems (LNNS,volume 1581); The 14th Conference on Information Technology and Its Applications (CITA 2025) ; pp: 35-46 Thu, 01 Jan 2026 00:00:00 GMT https://elib.vku.udn.vn/handle/123456789/6239 2026-01-01T00:00:00Z