Determining a Framework for the Generation and Evaluation of Ambient Intelligent Agent System Designs

Milica Pavlovic, Sotirios Kotsopoulos, Yihyun Lim, Scott Penman, Sara Colombo, Federico Casalegno

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    7 Citaten (Scopus)

    Samenvatting

    The design and realization of Ambient Intelligence (AmI) systems using Artificially Intelligent (AI) agents is a rising field of research. However, the absence of clearly defined working criteria, supporting the generation and evaluation of AmI agent system designs, is a conspicuous obstacle to their advancement. The contribution of this paper is that we determine and test a framework for the generation and evaluation of AmI system designs, based on user experience and business criteria. Specifically, the process of designing a personal lighting AI agent, in collaboration with a leading lighting design company, is used as a case study to determine and test a framework for the generation and evaluation of AmI system designs based on feasibility and acceptability. First, we use storytelling videos to describe and communicate the user values and design scenarios to the stakeholders. Second, we generate design proposals for a lighting AmI agent based on five distinct systemic factors, namely: (a) the context of interaction; (b) the required system data; (c) the required sensing input; (d) the required user input; and (e) the desired system output. Finally third we determine an evaluation framework that is based on three distinct levels of in-built system intelligence, from lower to higher. The three levels reflect the feasibility and acceptability of the system. Feasibility is what a specific company is capable of producing, and in what timeframe. Acceptability is the potential of familiarity and trust that the users can feel while interacting with the AI agent.

    Originele taal-2Engels
    TitelProceedings of the Future Technologies Conference, FTC 2019 Volume 1
    RedacteurenKohei Arai, Rahul Bhatia, Supriya Kapoor
    UitgeverijSpringer
    Pagina's318-333
    Aantal pagina's16
    ISBN van geprinte versie9783030325190
    DOI's
    StatusGepubliceerd - 2020
    Evenement4th Future Technologies Conference, FTC 2019 - San Francisco, Verenigde Staten van Amerika
    Duur: 24 okt. 201925 okt. 2019

    Publicatie series

    NaamAdvances in Intelligent Systems and Computing
    Volume1069
    ISSN van geprinte versie2194-5357
    ISSN van elektronische versie2194-5365

    Congres

    Congres4th Future Technologies Conference, FTC 2019
    Land/RegioVerenigde Staten van Amerika
    StadSan Francisco
    Periode24/10/1925/10/19

    Bibliografische nota

    Publisher Copyright:
    © 2020, Springer Nature Switzerland AG.

    Financiering

    Acknowledgments. This research is a result of collaboration between the MIT Design Lab and Signify. Doctoral research of the author Milica Pavlovic has been funded by TIM S.p.A., Services Innovation Department, Joint Open Lab Digital Life, Milan, Italy. This research is a result of collaboration between the MIT Design Lab and Signify. Doctoral research of the author Milica Pavlovic has been funded by TIM S.p.A., Services Innovation Department, Joint Open Lab Digital Life, Milan, Italy.

    Vingerafdruk

    Duik in de onderzoeksthema's van 'Determining a Framework for the Generation and Evaluation of Ambient Intelligent Agent System Designs'. Samen vormen ze een unieke vingerafdruk.

    Citeer dit