Designing User Interfaces With a Data Science Approach

Banubakode, Abhijit Narayanrao (Editor)/ Bhutkar, Ganesh Dattatray (Editor)/ Kurniawan, Yohannes (Editor)/ Gosavi, Chhaya Santosh (Editor)

ISBN 10: 1799891216 / ISBN 13: 9781799891215

Verlag: Engineering Science Reference, 2022

380 pages. 11.00x8.50x11.00 inches. In Stock. Bestandsnummer des Verkäufers x-1799891216

Inhaltsangabe:

Data science has been playing a vital role in almost all major fields. Many researchers are interested in the development of IT applications, which are user-driven with a focus on issues. This can be addressed using data science. User-driven research and data science have gained much attention from many private, public, and government organizations and research institutions. Designing User Interfaces With a Data Science Approach promotes the inclusion of more diversified users for user-centered designs of applications across domains and analyzes user data with a data science approach for effective and user-friendly user interface designs. It introduces the foundations of advanced topics of human-computer interaction, particularly with user-centered designs and techniques. Covering topics such as artificial neural networks, natural dialog systems, and machine learning, this book is an essential resource for faculty, research scholars, industry professionals, students of higher education, mathematicians, data scientists, interaction designers, visual designers, software engineers, user experience researchers, accessibility engineers, cognitive system engineers, academicians, and libraries.

Über die Autorin bzw. den Autor: Abhijit Narayanrao Banubakode, University of Malaya, Malaysia

Ganesh D. Bhutkar, Vishwakarma Institute of Technology, India

Yohannes Kurniawan, Bina Nusantara University, Indonesia

Chhaya Santosh Gosavi, MKSSS's Cummins College of Engineering, India

Bibliografische Details

Titel: Designing User Interfaces With a Data ...
Verlag: Engineering Science Reference
Erscheinungsdatum: 2022
Einband: Hardcover
Zustand: Brand New