Quality of Experience and Learning in Information Systems
Incorporating Learning and Ethics into Characterizations of Quality of Experience
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Beschreibung
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.
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.
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
Autor*in
Josephina Antoniou
Themen in »Quality of Experience and Learning in Information Systems«
Learning Styles Quality of Experience Internet of Things and Quality of Experience Game Theory and Quality of Experience 5G Communication Networks and Quality of Experience Security and Quality of Experience Authentication and Quality of Experience Wearable device applications and Quality of Experience AI-based applications and Quality of Experience
Stimmen zu »Quality of Experience and Learning in Information Systems«
“Dr. Antoniou is not only a scientist of distinguished ability; she is also a moral and ethical conscience for every inventor, developer, and user of infonomics in the 21st century. We owe her a major debt of gratitude. The book would be appropriate for a general audience, but especially for graduate students in information technology (IT) or compliance, IT professionals, or research scientists.” (Computing Reviews)
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