Personalized Human-Computer Interaction

Personalized and adaptive systems use user models to tailor content, services, interaction, and navigation to individual users' needs, inferred from observed information or explicitly entered data. This book covers user modeling, interaction, and personalization approaches in various domains, emphasizing the importance of adapting to changing contexts while addressing privacy, control, transparency, and explainability concerns.

Format: Paperback / softback
Length: 376 pages
Publication date: 07 August 2023
Publisher: De Gruyter

Personalized and adaptive systems are revolutionizing the way we interact with technology, tailoring content, services, interactions, and navigation to meet the unique needs of individual users. These systems leverage user models to capture and understand the behavior, preferences, and characteristics of users, enabling them to provide personalized experiences that are tailored to their specific requirements.

User models can be derived from various sources of information, including implicit observations such as the user's interaction history or current location, as well as explicit inputs such as user profile data or ratings. This rich data allows systems to build comprehensive profiles of users, enabling them to make informed decisions and recommendations.

One of the key applications of personalization is item recommendation. These systems use user preferences and past behavior to suggest products or services that are likely to interest the user, enhancing their shopping experience and increasing the likelihood of making a purchase. Location-based services, such as navigation apps and weather forecasts, also leverage user models to provide personalized recommendations based on the user's current location or destination.

Learning assistance is another area where personalization plays a crucial role. Adaptive learning systems use user models to tailor the content and pace of learning to the individual learner's needs, ensuring that they are able to grasp the material effectively and efficiently. This approach can greatly improve the learning outcomes and engagement of students, particularly those with diverse learning styles or needs.

The tailored selection of interaction modalities is another example of personalization in action. Systems can use user models to determine the most appropriate communication channel or interface for a particular user, whether it's a voice-activated assistant, a graphical user interface, or a combination of both. This ensures that users have a seamless and intuitive experience with the technology, regardless of their preferences or abilities.

With the increasing prevalence of mobile devices and ubiquitous environments, the need for adapting to changing contexts is more significant than ever. Personalized and adaptive systems can provide personalized experiences and recommendations even in dynamic and unpredictable environments, such as public spaces or mobile devices with varying screen sizes and input methods.

However, the development and deployment of personalized and adaptive systems also raise several challenges. Privacy concerns, user control, transparency, and explainability are critical issues that need to be addressed to ensure the trust and acceptance of these systems by users. User experience and other human factors, such as cognitive biases and emotional states, also play a significant role in shaping the effectiveness and usability of personalized systems.

To address these challenges, this book
book provides a comprehensive introduction to user modeling, discussing the foundations, principles, and techniques used to build and evaluate user models. It also explores user interaction as a basis for adaptivity, highlighting the importance of understanding user behavior and preferences in designing personalized systems.

The book showcases several personalization approaches in a variety of domains, including music recommendation, tourism, and accessible user interfaces. Each chapter provides an in-depth analysis of different personalization techniques, their advantages, and limitations, and provides practical examples and case studies to illustrate their application in real-world scenarios.

In conclusion, personalized and adaptive systems are transforming the way
the way to interact with technology, providing users with tailored experiences that meet their unique needs and preferences. By leveraging user models and understanding user behavior, these systems can enhance user engagement, improve learning outcomes, and improve the overall user experience. However, the development and deployment of these systems also raise significant challenges that need to be addressed to ensure their ethical and responsible use. This book provides a valuable resource for researchers, practitioners, and policymakers
practitioners in the field
field of human-computer interaction, computer science, and related disciplines, providing a comprehensive and up-to-date overview of the foundations, principles, and techniques of user modeling and personalization.

Weight: 634g
Dimension: 241 x 170 x 23 (mm)
ISBN-13: 9783110999600
Edition number: 2 Revised edition