Modeling the New Modalities of Personas: How Do Users' Attributes Influence Their Perceptions and Use of Interactive Personas?

Ilkka Kaate, Joni Salminen, Soon Gyo Jung, João M. Santos, Essi Häyhänen, Trang Xuan, Jinan Azem, Bernard J. Jansen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

We investigate the impact of user demographics (age, gender) and experience (with personas and chatbots) on users' perceptions of interactive personas. A within-subjects study was conducted with 54 participants, mostly engineers and computer scientists. Each participant used interactive personas with two interfaces: a web-based profile persona and a chat persona. The findings from regression analysis indicate that users' age and gender (as well as persona's gender) affect multiple perceptions of personas. In addition, the interface modality (profile vs. chat) has a significant impact. Findings highlight the need for designing interactive personas that appeal to diverse user bases to increase the general accessibility of interactive personas. They also support the notion that the persona interface itself regulates user perceptions even when the persona's information remains the same.

Original languageEnglish
Title of host publicationUMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery, Inc
Pages164-169
Number of pages6
ISBN (Electronic)9798400704666
DOIs
Publication statusPublished - 27 Jun 2024
Event32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2024 - Cagliari, Italy
Duration: 1 Jul 20244 Jul 2024

Publication series

NameUMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2024
Country/TerritoryItaly
CityCagliari
Period1/07/244/07/24

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