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Designing Human-Centric AI Experiences: Applied UX Design for Artificial by Kore
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Ubicado en: Richmond, Virginia, Estados Unidos
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N.º de artículo de eBay:357078228242
Características del artículo
- Estado
- Publication Date
- 2022-08-13
- Book Title
- Designing Human-Centric AI Experiences: Applied UX Design for Art
- ISBN
- 9781484280874
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Product Identifiers
Publisher
Apress L. P.
ISBN-10
1484280873
ISBN-13
9781484280874
eBay Product ID (ePID)
19057281448
Product Key Features
Number of Pages
Xxiii, 468 Pages
Publication Name
Designing Human-Centric Ai Experiences : Applied Ux Design for Artificial Intelligence
Language
English
Subject
Computer Graphics, Intelligence (Ai) & Semantics, Probability & Statistics / General
Publication Year
2022
Type
Textbook
Subject Area
Mathematics, Computers
Series
Design Thinking Ser.
Format
Trade Paperback
Dimensions
Item Weight
26.3 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
004.21
Table Of Content
Part 1: Intelligence.- Chapter 1: On intelligence.- Chapter 2: Intelligent Agents.- Chapter 3: Incorporating Artificial Intelligence.- Part 2: Decisions.- Chapter 4: Building Trust.- Chapter 5: Designing Feedback.- Chapter 6: Handling Errors.- Part 3: Design.- Chapter 7: IE Ethics.- Chapter 8: Prototyping AI Products.- Part 4: Teamwork .- Chapter 9: Understanding AI Terminology.- Chapter 10: Working Effectively with AI Tech Teams.- Epilogue.
Synopsis
User experience (UX) design practices have seen a fundamental shift as more and more software products incorporate machine learning (ML) components and artificial intelligence (AI) algorithms at their core. This book will probe into UX design's role in making technologies inclusive and enabling user collaboration with AI. AI/ML-based systems have changed the way of traditional UX design. Instead of programming a method to do a specific action, creators of these systems provide data and nurture them to curate outcomes based on inputs. These systems are dynamic and while AI systems change over time, their user experience, in many cases, does not adapt to this dynamic nature. Applied UX Design for Artificial Intelligence will explore this problem, addressing the challenges and opportunities in UX design for AI/ML systems, look at best practices for designers, managers, and product creators and showcase how individuals from a non-technical background can collaborate effectively with AI and Machine learning teams. You Will Learn: Best practices in UX design when building human-centric AI products or features Ability to spot opportunities for applying AI in their organizations Advantages and limitations of AI when building software products Ability to collaborate and communicate effectively with AI/ML tech teams * UX design for different modalities (voice, speech, text, etc.) Designing ethical AI system, User experience (UX) design practices have seen a fundamental shift as more and more software products incorporate machine learning (ML) components and artificial intelligence (AI) algorithms at their core. This book will probe into UX design's role in making technologies inclusive and enabling user collaboration with AI. AI/ML-based systems have changed the way of traditional UX design. Instead of programming a method to do a specific action, creators of these systems provide data and nurture them to curate outcomes based on inputs. These systems are dynamic and while AI systems change over time, their user experience, in many cases, does not adapt to this dynamic nature. Applied UX Design for Artificial Intelligence will explore this problem, addressing the challenges and opportunities in UX design for AI/ML systems, look at best practices for designers, managers, and product creators and showcase how individuals from a non-technical background can collaborate effectively with AI and Machine learning teams. You Will Learn: Best practices in UX design when building human-centric AI products or features Ability to spot opportunities for applying AI in their organizations Advantages and limitations of AI when building software products Ability to collaborate and communicate effectively with AI/ML tech teams - UX design for different modalities (voice, speech, text, etc.) Designing ethical AI system
LC Classification Number
Q325.5-.7
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