Designing user interfaces with a data science approach / Abhijit Banubakode, Ganesh Bhutkar, Yohannes Kurniawan, and Chhaya Gosavi.

Format:

Book

Author/Creator:

Banubakode, Abhijit, author.

Bhutkar, Ganesh, author.

Kurniawan, Yohannes, author.

Gosavi, Chhaya, author.

Language:

English

Subjects (All):

User interfaces (Computer systems).

Physical Description:

26 PDFs (325 pages) : illustrations

Place of Publication:

Hershey, PA : IGI Global, [2022]

System Details:

Mode of access: World Wide Web.

Summary:

"This book provides chapters that demonstrate an understanding of human-computer interface guidelines, principles and theories combined with data science techniques investigating user-centered designs of applications across domains while analyzing user data with a data science approach for effective and user-friendly user interfaces"

Contents:

Section 1. Human-computer interaction and applications. Chapter 1. Video call-based real-time crime reporting system ; Chapter 2. Building 3D and XR city systems on multi-platform devices ; Chapter 3. Personalization in adaptive e-learning ; Chapter 4. Contextual inquiry of food ordering apps: an Indian perspective ; Chapter 5. Removing the screen: measuring the effectiveness of aesthetically relevant UI design for new technologies ; Chapter 6. Significance of software engineering phases in the development of a software application: case study

Section 2. Human-computer interaction and data science. Chapter 7. Disease prediction system using image processing and machine learning in COVID-19 ; Chapter 8. Grouping public complaints in the city of tangerang using K-means clustering method: contextual text analytics ; Chapter 9. Performance measurement of natural dialog system by analyzing the conversation ; Chapter 10. Social network mining, analysis, and research trends: a case study ; Chapter 11. User interface design with data visualization technique: case study of the COVID-19 pandemic in India ; Chapter 12. Integrating multiple techniques to enhance medical data classification ; Chapter 13. Fetal ECG extraction: principal component analysis method for extraction of fetal ECG.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

1-7998-9123-2

OCLC:

1304417663