For our forthcoming book, “Understanding Audiences, Customers, and Users via Analytics”, we used three personas to focus the book’s content: one designer, one professor, and one industry researcher. Mary is a senior user experience designer who wants her organization to use analytics for several major projects. She is familiar with some analytics elements but not […]
Artificial generation of facial images is increasingly popular, with machine learning achieving photo-realistic results. Yet, there is a concern that the generated images might not fairly represent all demographic groups. This has implications for persona development when approaching the goal of generating the facial pictures for the persona profiles automatically. In research led by Joni Salminen,
Analyzing Demographic Bias in Artificially Generated Facial Pictures Read More »
Quantitative data and algorithms are becoming more common for persona creation, but it is not clear to which extent this data and opaque machine learning algorithms introduce bias at various steps of data-driven persona creation (DDPC) and/or violate user rights. In this conceptual work, led by Joni Salminen, we use Gillespie’s framework of algorithmic ethics
The Ethics of Data-Driven Personas Read More »
User perceptions of personas affect the adoption of personas for decision-making in real organizations. To investigate how experience affects the way an individual perceives a persona, in research led by Joni Salminen, we conduct an experimental study with individuals less and more experienced with personas. Quantitative results show that previous experience increases several important perceptions, including
The Effect of Experience on Persona Perceptions Read More »
The competitiveness of the video game market has increased the need for understanding players as individuals. In research led by Joni Salminen, we generate player personas from survey data of 15,402 players’ 195,158 stated game preferences from 130,495 game titles using the methodology of automatic persona generation.
Designing Prototype Player Personas from Game Preference Surveys Read More »
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
A Literature Review of Quantitative Persona Creation Read More »
Congrats to the APG Team for a CHI 2020 Best Paper & Honourable Mention research paper award! The SIGCHI “Best of CHI” awards honour exceptional submissions to SIGCHI sponsored conferences. 125 papers received Honourable Mention (top 5% of submissions) of more than 3,000 submissions. The research article from the APG team is: Salminen, J., Jung,
CHI 2020 Best Papers & Honourable Mention for Persona Research Read More »
