The book shows how researchers, practitioners, and designers can improve user experiences with technology by understanding various user learning styles and characteristics when they interact with new and challenging applications and interfaces. Quality of experience in this new technological environment is affected by the learning curve involved in being able to use the new interfaces in a satisfactory way. The author explores the variations in quality of experience when considering learning and ethics when interacting with new, emerging technologies. The author shows how results can be applied to technologies such as big data, AI, 5G, and Internet of Things (IoT). Taken into account are also safety and security requirements, context, environment, etc. The book explores the idea of learning, ethics, and the idea that there exists a "recipe" for a satisfactory interaction with technology if such relevant parameters are taken into consideration.

• Analyzes user habits to improve quality of experience when interacting with technology;
• Shows how to apply quality of service techniques to 5G, IoT, big data and AI;

• Uses behavior models to analyze interactions to improve the user quality of experience.

  Autorentext

  Dr. Josephina Antoniou is an Assistant Professor in Computing at University of Central Lancashire (UCLan), Cyprus. She is also the Course Leader for the MSc Computing program at UCLan Cyprus, the chair of the ACM-W (Association of Computing Machinery Women) Cyprus, and the Cyprus Collegiate Programming Contest Director for ACM. For the last year she is also a member of the Editorial Board for the "International Journal of Wearable Device". She is the book author of an introductory book, "Game Theoretic Models for Communication Networks: Cooperative Resolution of Interactive Networking Scenarios" Josephina Antoniou and Andreas Pitsillides, CRC Press, 2013. She participates in FP7, Horizon 2020 and Erasmus Plus projects as a task leader and she is active in the area of Communications and Networking.

  Inhalt
  Introduction.- Learning Styles and Human Computer Interaction.- Emerging Technologies: 5G, IoT, Big Data and AI-based applications.- Definitions of Quality of Experience for users of different communication technologies.- Investigating learning for improved QoE of Web Users when interacting with security features.- Investigating Quality of Student Experience.- AI in education: using a combination of AI and learning styles to improve quality of Experience.- Game theory to investigate decision making when selecting features of challenging new application interfaces: improving user learning curves.- Conclusion.