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Mitigating Issues With/of/for True Personalization
A common but false perception persists about the level and type of personalization in the offerings of contemporary software, information systems, and services, known as Personalization Myopia: this involves a tendency for researchers to think that there are many more personalized services than ther...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9087902/ https://www.ncbi.nlm.nih.gov/pubmed/35558170 http://dx.doi.org/10.3389/frai.2022.844817 |
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author | Oinas-Kukkonen, Harri Pohjolainen, Sami Agyei, Eunice |
author_facet | Oinas-Kukkonen, Harri Pohjolainen, Sami Agyei, Eunice |
author_sort | Oinas-Kukkonen, Harri |
collection | PubMed |
description | A common but false perception persists about the level and type of personalization in the offerings of contemporary software, information systems, and services, known as Personalization Myopia: this involves a tendency for researchers to think that there are many more personalized services than there genuinely are, for the general audience to think that they are offered personalized services when they really are not, and for practitioners to have a mistaken idea of what makes a service personalized. And yet in an era, which mashes up large amounts of data, business analytics, deep learning, and persuasive systems, true personalization is a most promising approach for innovating and developing new types of systems and services—including support for behavior change. The potential of true personalization is elaborated in this article, especially with regards to persuasive software features and the oft-neglected fact that users change over time. |
format | Online Article Text |
id | pubmed-9087902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90879022022-05-11 Mitigating Issues With/of/for True Personalization Oinas-Kukkonen, Harri Pohjolainen, Sami Agyei, Eunice Front Artif Intell Artificial Intelligence A common but false perception persists about the level and type of personalization in the offerings of contemporary software, information systems, and services, known as Personalization Myopia: this involves a tendency for researchers to think that there are many more personalized services than there genuinely are, for the general audience to think that they are offered personalized services when they really are not, and for practitioners to have a mistaken idea of what makes a service personalized. And yet in an era, which mashes up large amounts of data, business analytics, deep learning, and persuasive systems, true personalization is a most promising approach for innovating and developing new types of systems and services—including support for behavior change. The potential of true personalization is elaborated in this article, especially with regards to persuasive software features and the oft-neglected fact that users change over time. Frontiers Media S.A. 2022-04-26 /pmc/articles/PMC9087902/ /pubmed/35558170 http://dx.doi.org/10.3389/frai.2022.844817 Text en Copyright © 2022 Oinas-Kukkonen, Pohjolainen and Agyei. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Oinas-Kukkonen, Harri Pohjolainen, Sami Agyei, Eunice Mitigating Issues With/of/for True Personalization |
title | Mitigating Issues With/of/for True Personalization |
title_full | Mitigating Issues With/of/for True Personalization |
title_fullStr | Mitigating Issues With/of/for True Personalization |
title_full_unstemmed | Mitigating Issues With/of/for True Personalization |
title_short | Mitigating Issues With/of/for True Personalization |
title_sort | mitigating issues with/of/for true personalization |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9087902/ https://www.ncbi.nlm.nih.gov/pubmed/35558170 http://dx.doi.org/10.3389/frai.2022.844817 |
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