Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Oinas-Kukkonen, Harri, Pohjolainen, Sami, Agyei, Eunice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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
_version_ 1784704255728287744
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
work_keys_str_mv AT oinaskukkonenharri mitigatingissueswithoffortruepersonalization
AT pohjolainensami mitigatingissueswithoffortruepersonalization
AT agyeieunice mitigatingissueswithoffortruepersonalization