A Literature Review of Quantitative Persona Creation

要旨

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.

キーワード
Personas
literature review
quantitative persona creation
著者
Joni Salminen
Qatar Computing Research Institute, Hamad Bin Khalifa University & University of Turku, Doha, Qatar
Kathleen Guan
Georgetown University, Washington, DC, USA
Soon-Gyo Jung
Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
Shammur A. Chowdhury
Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
Bernard J. Jansen
Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
DOI

10.1145/3313831.3376502

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems

セッション: Models & measurement

Paper session
Paper
316C MAUI
2020-04-30 23:00:00
2020-05-01 00:15:00
日本語まとめ
読み込み中…