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User Experience + Artificial Intelligence = Assessing the Qualities of AI-infused Systems

This open access book addresses the thriving trend of embedding artificial intelligence (AI) and machine learning (ML) capabilities in products and services reaching the lay public, focusing on the user experience (UX) they prompt from a designerly perspective. It offers a UX evaluation method designed explicitly for AI-infused systems to answer one of the core problems affecting the relationship and interactions people have with such artefacts. The work investigates how people perceive and make sense of systems integrating AI capabilities, trying to understand how their meaning and significance can affect the experience of such products and what design challenges may arise. Given the fundamental premise that current UX methods cannot address AI-infused artefacts, it introduces the results of Meet-AI, a research project exploring specific ways to tackle these problems. The book then presents a comprehensive analysis of current UX methods, and a literature review focused on detecting possible gaps and the most suitable qualities to describe AI-infused systems, and summarizes the findings from all previous investigations into a UX evaluation scale: AIXE (AI user eXperience Evaluation). The book also portrays how the tool has been validated and expanded to become a more comprehensive method. It further describes how the scale has been applied to a comparative study of domestic smart speakers, and introduces a reversed interpretation of the outcomes, framing them as heuristics to inform the early phases of the design process and paving the way for future experimentations in the meta-design dimension.

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Detail Information

Series Title

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Call Number

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Publisher

: Springer Cham., 2025

Collation

XI, 107hlm; ill., lamp.,

Language

English

ISBN/ISSN

9783031775215

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Business and management
User Interfaces and Human Computer Interaction
Industrial Design
Artificial Intelligenc

Specific Detail Info

This book is open access, which means that you have free and unlimited access Is valuable for researchers dealing with systems integrating AI capabilities Helps professionals understand the multiple issues connected to AI-infused products and services Serves as a resource for students in HCI or UX, interaction, product, service, and system design

Statement of Responsibility

Davide Spallazzo , Martina Sciannamè , Mauro Ceconello

Other Information

Cataloger

ida

Source

https://link.springer.com/book/10.1007/978-3-031-77521-5

Validator

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Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-031-77521-5

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