A4 Refereed article in a conference publication
Personas and Analytics: A Comparative User Study of Efficiency and Effectiveness for a User Identification Task
Authors: Joni Salminen, Soon-Gyo Jung, Shammur Chowdhury, Sercan Şengün, Bernard J. Jansen
Editors: Regina Bernhaupt, Florian 'Floyd' Mueller, David Verweij, Josh Andres
Conference name: ACM SIGCHI annual conference on human factors in computing systems
Publisher: ACM
Publication year: 2020
Book title : Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
ISBN: 978-1-4503-6708-0
DOI: https://doi.org/10.1145/3313831.3376770
Web address : https://dl.acm.org/doi/pdf/10.1145/3313831.3376770
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/50747694
Quantitative persona creation (QPC) has tremendous potential, as HCI researchers and practitioners can leverage user data from online analytics and digital media platforms to better understand their users and customers. However, there is a lack of a systematic overview of the QPC methods and progress made, with no standard methodology or known best practices. To address this gap, we review 49 QPC research articles from 2005 to 2019. Results indicate three stages of QPC research: Emergence, Diversification, and Sophistication. Sharing resources, such as datasets, code, and algorithms, is crucial to achieving the next stage (Maturity). For practitioners, we provide guiding questions for assessing QPC readiness in organizations.C1 - Honolulu, Hawaii, USAC3 - Proceedings of the ACM Conference of Human Factors in Computing Systems (CHI'20)
Downloadable publication This is an electronic reprint of the original article. |  |
