Information Architecture, 4e: Recomandări cărți Ecommerce - Școala de vară GPeC 2019
Autor Louis Rosenfeld, Peter Morville, Jorge Arangoen Limba Engleză Paperback – 15 oct 2015
To guide you through this broad ecosystem, this popular guide—now in its fourth edition—provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message.
This book includes:
- An overview of IA and the problems it solves for creating effective digital products and services
- A deep dive into IA components, including organization, labeling, navigation, search, and metadata
- Processes and methods that take you from research to strategy, design, and IA implementation
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Specificații
ISBN-10: 1491911689
Pagini: 486
Ilustrații: illustrations
Dimensiuni: 188 x 227 x 26 mm
Greutate: 0.66 kg
Ediția:4. Auflage.
Editura: O'Reilly
Seria Recomandări cărți Ecommerce - Școala de vară GPeC 2019
Descriere
Information architecture (IA) is far more challenging—and necessary—than ever. With the glut of information available today, anything your organization wants to share should be easy to find, navigate, and understand. But the experience you provide has to be familiar and coherent across multiple interaction channels, from the Web to smartphones, smartwatches, and beyond.
To guide you through this broad ecosystem, this popular guide—now in its fourth edition—provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message.
This book includes:
- An overview of IA and the problems it solves for creating effective digital products and services
- A deep dive into IA components, including organization, labeling, navigation, search, and metadata
- Processes and methods that take you from research to strategy, design, and IA implementation