dc.contributor.author | Karahasanovic, Amela | |
dc.contributor.author | Følstad, Asbjørn | |
dc.contributor.author | Schittekat, Patrick | |
dc.date.accessioned | 2023-03-07T11:51:29Z | |
dc.date.available | 2023-03-07T11:51:29Z | |
dc.date.created | 2021-09-15T10:00:06Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Artificial 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 | en_US |
dc.identifier.isbn | 978-3-030-77771-5 | |
dc.identifier.uri | https://hdl.handle.net/11250/3056416 | |
dc.description.abstract | We 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.iso | eng | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Artificial 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.subject | AI agents | en_US |
dc.subject | Interaction with AI | en_US |
dc.subject | Personas | en_US |
dc.title | Putting a Face on Algorithms: Personas for Modeling Artificial Intelligence | en_US |
dc.type | Chapter | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | This 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_15 | en_US |
dc.source.pagenumber | 229-240 | en_US |
dc.identifier.doi | 10.1007/978-3-030-77772-2_15 | |
dc.identifier.cristin | 1934426 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |