Personas for Artificial Intelligence (AI) an Open Source Toolbox
Personas have successfully supported the development of classical user interfaces for more than two decades by mapping users’ mental models to specific contexts. The rapid proliferation of Artificial Intelligence (AI) applications makes it necessary to create new approaches for future hum...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9721903/ |
| _version_ | 1798040406522331136 |
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| author | Andreas Holzinger Michaela Kargl Bettina Kipperer Peter Regitnig Markus Plass Heimo Muller |
| author_facet | Andreas Holzinger Michaela Kargl Bettina Kipperer Peter Regitnig Markus Plass Heimo Muller |
| author_sort | Andreas Holzinger |
| collection | DOAJ |
| description | Personas have successfully supported the development of classical user interfaces for more than two decades by mapping users’ mental models to specific contexts. The rapid proliferation of Artificial Intelligence (AI) applications makes it necessary to create new approaches for future human-AI interfaces. Human-AI interfaces differ from classical human-computer interfaces in many ways, such as gaining some degree of human-like cognitive, self-executing, and self-adaptive capabilities and autonomy, and generating unexpected outputs that require non-deterministic interactions. Moreover, the most successful AI approaches are so-called “black box” systems, where the technology and the machine learning process are opaque to the user and the AI output is far not intuitive. This work shows how the personas method can be adapted to support the development of human-centered AI applications, and we demonstrate this on the example of a medical context. This work is - to our knowledge - the first to provide personas for AI using an openly available <italic>Personas for AI toolbox</italic>. The toolbox contains guidelines and material supporting persona development for AI as well as templates and pictures for persona visualisation. It is ready to use and freely available to the international research and development community. Additionally, an example from medical AI is provided as a best practice use case. This work is intended to help foster the development of novel human-AI interfaces that will be urgently needed in the near future. |
| first_indexed | 2024-04-11T22:07:11Z |
| format | Article |
| id | doaj.art-818ec647676a4fda99b2f6104cd8f2cd |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T22:07:11Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-818ec647676a4fda99b2f6104cd8f2cd2022-12-22T04:00:40ZengIEEEIEEE Access2169-35362022-01-0110237322374710.1109/ACCESS.2022.31547769721903Personas for Artificial Intelligence (AI) an Open Source ToolboxAndreas Holzinger0https://orcid.org/0000-0002-6786-5194Michaela Kargl1https://orcid.org/0000-0001-8431-9710Bettina Kipperer2Peter Regitnig3https://orcid.org/0000-0002-1371-1595Markus Plass4https://orcid.org/0000-0003-2718-7648Heimo Muller5Human-Centered AI Lab, Medical University of Graz, Graz, AustriaHuman-Centered AI Lab, Medical University of Graz, Graz, AustriaHuman-Centered AI Lab, Medical University of Graz, Graz, AustriaHuman-Centered AI Lab, Medical University of Graz, Graz, AustriaHuman-Centered AI Lab, Medical University of Graz, Graz, AustriaHuman-Centered AI Lab, Medical University of Graz, Graz, AustriaPersonas have successfully supported the development of classical user interfaces for more than two decades by mapping users’ mental models to specific contexts. The rapid proliferation of Artificial Intelligence (AI) applications makes it necessary to create new approaches for future human-AI interfaces. Human-AI interfaces differ from classical human-computer interfaces in many ways, such as gaining some degree of human-like cognitive, self-executing, and self-adaptive capabilities and autonomy, and generating unexpected outputs that require non-deterministic interactions. Moreover, the most successful AI approaches are so-called “black box” systems, where the technology and the machine learning process are opaque to the user and the AI output is far not intuitive. This work shows how the personas method can be adapted to support the development of human-centered AI applications, and we demonstrate this on the example of a medical context. This work is - to our knowledge - the first to provide personas for AI using an openly available <italic>Personas for AI toolbox</italic>. The toolbox contains guidelines and material supporting persona development for AI as well as templates and pictures for persona visualisation. It is ready to use and freely available to the international research and development community. Additionally, an example from medical AI is provided as a best practice use case. This work is intended to help foster the development of novel human-AI interfaces that will be urgently needed in the near future.https://ieeexplore.ieee.org/document/9721903/Artificial intelligencehuman–AI interfacepersonas |
| spellingShingle | Andreas Holzinger Michaela Kargl Bettina Kipperer Peter Regitnig Markus Plass Heimo Muller Personas for Artificial Intelligence (AI) an Open Source Toolbox IEEE Access Artificial intelligence human–AI interface personas |
| title | Personas for Artificial Intelligence (AI) an Open Source Toolbox |
| title_full | Personas for Artificial Intelligence (AI) an Open Source Toolbox |
| title_fullStr | Personas for Artificial Intelligence (AI) an Open Source Toolbox |
| title_full_unstemmed | Personas for Artificial Intelligence (AI) an Open Source Toolbox |
| title_short | Personas for Artificial Intelligence (AI) an Open Source Toolbox |
| title_sort | personas for artificial intelligence ai an open source toolbox |
| topic | Artificial intelligence human–AI interface personas |
| url | https://ieeexplore.ieee.org/document/9721903/ |
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