GigTroop: A Home Service Provider Application
The User’s Adoption towards Chatbot Technology – An Exploration
Performance on QoS Metrics with Active Queue Management Techniques in AODV Routing Protocol in MANETs
Fundamental Understanding of Mobile Phone Data for Transport Applications
Embracing Sustainable Usage of Mobile Health in Developing Countries: The Mediating Role of Behavioural Intentions
An Empirical Evidence from Uganda
Development of Mobile App for the Soil Classification
Emerging Technologies in Interaction with Mobile Computing Devices – A Technology Forecast
Using the Arduino Platform for Controlling AC Appliances with GSM Module and Relay
Applications of Wearable Technology in Elite Sports
Evaluation of Mobile Banking Services Usage in Minna, Niger State
Smartphone Applications–A Comparative Study BetweenOlder And Younger Users
Technological Diffusion of Near Field Communication (NFC)
Touchscreen and Perceived Usability: A Comparison of Attitudes between Older and Younger Mobile Device Users
A Review on Routing Protocols for Mobile Adhoc Networks
Applications of Wearable Technology in Elite Sports
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The rapid adoption of chatbot technology in customer service has prompted the need to explore its purpose of adoption and satisfaction. This study aims to investigate the motivations behind chatbot adoption, the challenges encountered, and the resulting effects on customer satisfaction. A mixed-methods approach was employed, combining qualitative interviews and a quantitative survey of 120 respondents in Nagercoil City. The findings reveal that productivity is the primary driver for chatbot adoption, with users appreciating the 24/7 availability, instant responses, and personalized assistance. However, challenges such as technical limitations, user acceptance issues, and a lack of emotional understanding were identified. The study concludes that while chatbots offer numerous benefits, their effectiveness relies on critical factors such as design quality, natural language processing capabilities, and adept handling of diverse queries. The findings provide valuable insights for businesses seeking to leverage chatbots effectively to enhance customer engagement and satisfaction.
Active Queue Management (AQM) techniques are crucial for managing congestion in Mobile Ad Hoc Networks (MANETs), where the Ad hoc On-Demand Distance Vector (AODV) routing protocol is widely used. This discussion explores congestion control and AQM techniques, including Random Early Detection (RED) and Drop Tail, within the context of AODV in MANETs.
Mobile phone data has become a crucial resource in mobility studies, offering a rich dataset for analysing human movement. This paper provides a comprehensive review of mobile phone data sources and their applications in transportation research. It examines the strengths and limitations of various data types, including Call Detail Records (CDR), cellular signalling data (CSD), and synthetic CDR. The study highlights methodologies for travel demand estimation, origin-destination (OD) matrix generation, and mode-specific OD estimation. While CDR data has demonstrated reliability in trip purpose estimation, challenges remain in accurately predicting travel modes. The paper concludes with recommendations for improving synthetic CDR data and broadening its applications in mobility studies.
This study aimed to investigate the relationship between perceived usefulness and the sustainable usage of mobile health among smartphone users in Uganda, mediated by behavioral intentions. A cross-sectional and quantitative design was used, employing correlation, regression, and mediation analysis to achieve the study objectives. Data were collected through survey questionnaires from 366 smartphone users in Eastern Uganda. The formulated objectives and hypotheses were analyzed using the SPSS tool. The findings revealed that perceived usefulness is positively correlated with the sustainable usage of mobile health. Mediation analysis showed that behavioral intentions partially mediate the relationship between perceived usefulness and mobile health usage. This study is one of the first to explore the mediating role of behavioral intentions in this context. It is relevant to academics, the government of Uganda, health regulatory organizations, and medical alliances, as mobile health offers a viable option for citizens to access and disseminate healthcare information. It demonstrates that behavioral intention contributes to the relationship between perceived usefulness and mobile health usage, providing evidence for policymakers to consider these factors when developing strategies to strengthen mobile health usage and ensure its long-term viability. This study presents a new model suggesting that perceived usefulness predicts behavioral intentions, which, in turn, enhances continued usage of mobile health. Additionally, it confirms that behavioral intentions partially mediate the relationship between perceived usefulness and mobile health usage, an area previously unexplored in the context of Uganda for healthcare access and dissemination.
