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dc.contributor.authorKarahasanovic, Amela
dc.contributor.authorFølstad, Asbjørn
dc.contributor.authorSchittekat, Patrick
dc.date.accessioned2023-03-07T11:51:29Z
dc.date.available2023-03-07T11:51:29Z
dc.date.created2021-09-15T10:00:06Z
dc.date.issued2021
dc.identifier.citationArtificial Intelligence in HCI, Second International Conference, AI-HCI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedingsen_US
dc.identifier.isbn978-3-030-77771-5
dc.identifier.urihttps://hdl.handle.net/11250/3056416
dc.description.abstractWe propose a new type of personas, artificial intelligence (AI) personas, as a tool for designing systems consisting of both human and AI agents. Personas are commonly used in design practices for modelling users. We argue that the personification of AI agents can help multidisciplinary teams in understanding and designing systems that include AI agents. We propose a process for creating AI personas and the properties they should include, and report on our first experience using them. The case we selected for our exploration of AI personas was the design of a highly automated decision support tool for air traffic control. Our first results indicate that AI personas helped designers to empathise with algorithms and enabled better communication within a team of designers and AI and domain experts. We call for a research agenda on AI personas and discussions on potential benefits and pitfalls of this approach.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofArtificial Intelligence in HCI, Second International Conference, AI-HCI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings
dc.subjectAI agentsen_US
dc.subjectInteraction with AIen_US
dc.subjectPersonasen_US
dc.titlePutting a Face on Algorithms: Personas for Modeling Artificial Intelligenceen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.rights.holderThis version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-030-77772-2_15en_US
dc.source.pagenumber229-240en_US
dc.identifier.doi10.1007/978-3-030-77772-2_15
dc.identifier.cristin1934426
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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