How to Create Personas : Three Persona Creation Methodologies with Implications for Practical Employment
Jansen, Bernard J.; Jung, Soon-Gyo; Nielsen, Lene; Guan, Kathleen W.; Salminen, Joni (2022-03-30)
Jansen, Bernard J.
Jung, Soon-Gyo
Nielsen, Lene
Guan, Kathleen W.
Salminen, Joni
Association for Information Systems
30.03.2022
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2022053039312
https://urn.fi/URN:NBN:fi-fe2022053039312
Kuvaus
vertaisarvioitu
© 2022 by the Association for Information Systems. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and full citation on the first page. Copyright for components of this work owned by others than the Association for Information Systems must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists requires prior specific permission and/or fee. Request permission to publish from: AIS Administrative Office, P.O. Box 2712 Atlanta, GA, 30301-2712 Attn: Reprints, or via email from publications@aisnet.org.
© 2022 by the Association for Information Systems. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and full citation on the first page. Copyright for components of this work owned by others than the Association for Information Systems must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists requires prior specific permission and/or fee. Request permission to publish from: AIS Administrative Office, P.O. Box 2712 Atlanta, GA, 30301-2712 Attn: Reprints, or via email from publications@aisnet.org.
Tiivistelmä
Background: Personas are a technique for enhanced understanding of users and customers to improve the user-centered design of systems and products. Their creation can be categorized using three persona creation methodologies: Qualitative, Quantitative, and Mixed Methods. Despite the apparent differences in these methodologies, no previous review has systemically compared and contrasted the strengths and weaknesses of each of these methodologies for persona development.
Method: This manuscript maps and navigates persona literature to identify the benefits and challenges of these three persona creation methodologies. Furthermore, the strategies and opportunities of the different methodologies are presented.
Results: The results summarize the strengths and weaknesses of each of the three principal persona creation methodologies and offer suggestions of the benefits of their employment.
Conclusion: In conclusion, we offer insights into the construction and usage of personas for practitioners and researchers, and we propose a framework to determine which persona creation methodology is most suitable for a given context.
Method: This manuscript maps and navigates persona literature to identify the benefits and challenges of these three persona creation methodologies. Furthermore, the strategies and opportunities of the different methodologies are presented.
Results: The results summarize the strengths and weaknesses of each of the three principal persona creation methodologies and offer suggestions of the benefits of their employment.
Conclusion: In conclusion, we offer insights into the construction and usage of personas for practitioners and researchers, and we propose a framework to determine which persona creation methodology is most suitable for a given context.
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Developing Persona Analytics Towards Persona Science
Salminen, Joni; Jung, Soon-Gyo; Jansen, Bernard (Association for Computing Machinery, 22.03.2022)
articleMuch of the reported work on personas suffers from the lack of empirical evidence. To address this issue, we introduce Persona Analytics (PA), a system that tracks how users interact with data-driven personas. PA captures ... -
Picturing the fictitious person: An exploratory study on the effect of images on user perceptions of AI-generated personas
Salminen, Joni; Santos, João M.; Jung, Soon-gyo; Jansen, Bernard J. (Elsevier, 28.02.2024)
articleHuman-computer interaction (HCI) research is facing a vital question of the effectiveness of personas generated using artificial intelligence (AI). Addressing this question, this research explores user perceptions of ... -
The Realness of Fakes : Primary Evidence of the Effect of Deepfake Personas on User Perceptions in a Design Task
Kaate, Ilkka; Salminen, Joni; Santos, Joao; Jung, Soon-Gyo; Olkkonen, Rami; Jansen, Bernard (Elsevier, 24.06.2023)
articleDeepfakes, realistic portrayals of people that do not exist, have garnered interest in research and industry. Yet, the contributions of deepfake technology to human-computer interaction remain unclear. One possible value ...