User Experience Artificial Intelligence by Spallazzo Davide (10 results)

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  • Language: English

    Published by Springer International Publishing AG, Cham, 2025

    3031775201 / 9783031775208

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    Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    Paperback. Condition: new. Paperback. 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. 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). Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

  • Language: English

    Published by Springer, 2025

    3031775201 / 9783031775208

    • Softcover

    Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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  • Language: English

    Published by Springer-Nature New York Inc, 2025

    3031775201 / 9783031775208

    • Softcover

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    Paperback. Condition: Brand New. 118 pages. 9.25x6.10x9.25 inches. In Stock.

  • Language: English

    Published by Springer, 2025

    3031775201 / 9783031775208

    • Softcover

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    Taschenbuch. Condition: Neu. User Experience + Artificial Intelligence | Assessing the Qualities of AI-infused Systems | Davide Spallazzo (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | xi | Englisch | 2025 | Springer | EAN 9783031775208 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

  • Language: English

    Published by Springer, 2025

    3031775201 / 9783031775208

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  • Language: English

    Published by Springer Nature Switzerland, Springer Nature Switzerland Jan 2025, 2025

    3031775201 / 9783031775208

    • Softcover
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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 120 pp. Englisch.…

  • Language: English

    Published by Springer, 2025

    3031775201 / 9783031775208

    • Softcover
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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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  • Language: English

    Published by Springer, 2025

    3031775201 / 9783031775208

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  • Language: English

    Published by Springer Verlag GmbH, 2025

    3031775201 / 9783031775208

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  • Language: English

    Published by Springer Nature Switzerland, Springer Nature Switzerland Jan 2025, 2025

    3031775201 / 9783031775208

    • Softcover
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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 120 pp. Englisch.…