Categories
CHI Persona Creation Persona Design Persona Development Persona Research Personas

Analyzing Demographic Bias in Artificially Generated Facial Pictures

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.

Analyzing Demographic Bias in Artificially Generated Facial Pictures
Analyzing Demographic Bias in Artificially Generated Facial Pictures

In research led by Joni Salminen, we use a state-of-the-art method to generate 10,000 facial images and observe that the generated images are skewed towards young people, especially white women.

Categories
CHI Data-Driven Personas Persona Research Personas

The Ethics of Data-Driven Personas

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.

The Ethics of Data-Driven Personas
The Ethics of Data-Driven Personas

In this conceptual work, led by Joni Salminen, we use Gillespie’s framework of algorithmic ethics to analyze DDPC for ethical considerations.

Categories
CHI Persona Adoption Persona Research Personas Use of Personas

The Effect of Experience on Persona Perceptions

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 Willingness to use, Empathy, Likability, and Completeness (measured using the PPS instrument). 

Categories
CHI Data-Driven Personas Persona Research Personas

Designing Prototype Player Personas from Game Preference Surveys

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.

Categories
CHI Data-Driven Personas Persona Analytics Personas

A Literature Review of Quantitative Persona Creation

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 and to map the field of QPC, we conduct the first systematic literature review on QPC.

We review 49 papers from 2005-2019 and make several interesting findings:

Categories
CHI Persona Research Personas

CHI 2020 Best Papers & Honourable Mention for Persona Research

chi2002 paper award with three co-authors

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, S.G., Chowdhury, S. Şengün, S., and Jansen, B. J. (2020) Personas and Analytics: A Comparative User Study of Efficiency and Effectiveness for a User Identification Task. ACM CHI Conference on Human Factors in Computing Systems (CHI’20), Honolulu, HI, USA. 25–30 April, 1-13.

Read more about our persona research

Categories
CHI Human-Computer Interaction Persona Research Personas

Exciting news about CHI’20…

ACM Conference on Human Factors in Computing Systems (also known simply as ‘CHI’) is the top conference in human-computer interaction (HCI). Personas, as a design technique, strongly related to the domain of HCI, which is why our team’s research efforts are centered around CHI as well as other HCI conferences and journals.

Anyhow, this year, we were fortunate enough to get 2 full papers and 5 late-breaking work (LBR) papers accepted to CHI’20. Both of the full papers are about personas, and three of the LBR papers are about personas.

While the full PDF versions will be made publicly available in CHI Proceedings, we are sharing below the abstracts, summarizing the main findings of each paper. If you are curious to learn more or collaborate with us around persona research, please reach out (jsalminen@hbku.edu.qa).