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User experience + artificial intelligence = assessing the qualities of AI-infused systems /

Record Type:	Electronic resources : Monograph/item
Title/Author:	User experience + artificial intelligence/ by Davide Spallazzo, Martina Sciannamè, Mauro Ceconello.
Reminder of title:	assessing the qualities of AI-infused systems /
Author:	Spallazzo, Davide.
other author:	Sciannamè, Martina.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xi, 107 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Making Sense of AI Infused Systems Framing Current Design Challenges -- UX Dimensions for AI Past and Future Perspectives.
Contained By:	Springer Nature eBook
Subject:	User interfaces (Computer systems) -
Online resource:	https://doi.org/10.1007/978-3-031-77521-5
ISBN:	9783031775215

User experience + artificial intelligence = assessing the qualities of AI-infused systems /
Spallazzo, Davide.

User experience + artificial intelligenceassessing the qualities of AI-infused systems /[electronic resource] :by Davide Spallazzo, Martina Sciannamè, Mauro Ceconello. - Cham :Springer Nature Switzerland :2025. - xi, 107 p. :ill., digital ;24 cm. - PoliMI SpringerBriefs,2282-2585. - PoliMI SpringerBriefs..

Introduction -- Making Sense of AI Infused Systems Framing Current Design Challenges -- UX Dimensions for AI Past and Future Perspectives.

Open access.

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.

ISBN: 9783031775215

Standard No.: 10.1007/978-3-031-77521-5doiSubjects--Topical Terms:

539550
User interfaces (Computer systems)

LC Class. No.: QA76.9.U83

Dewey Class. No.: 005.437

User experience + artificial intelligence = assessing the qualities of AI-infused systems /
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