Personas and Analytics: A Comparative User Study of Efficiency and Effectiveness for a User Identification Task
Bernard J. Jansen; Shammur Chowdhury; Joni Salminen; Soon-Gyo Jung; Sercan Şengün
Personas and Analytics: A Comparative User Study of Efficiency and Effectiveness for a User Identification Task
Bernard J. Jansen
Shammur Chowdhury
Joni Salminen
Soon-Gyo Jung
Sercan Şengün
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021042823607
https://urn.fi/URN:NBN:fi-fe2021042823607
Tiivistelmä
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)
Kokoelmat
- Rinnakkaistallenteet [19207]