Jim Jansen

Dr. Jansen is a Principal Scientist in the social computing group of the Qatar Computing Research Institute, and a professor with the College of Science and Engineering, Hamad bin Khalifa University, and an adjunct professor with the College of Information Sciences and Technology at The Pennsylvania State University. He is a graduate of West Point and has a Ph.D. in computer science from Texas A&M University, along with master degrees from Texas A&M (computer science) and Troy State (international relations). Dr. Jim Jansen served in the U.S. Army as an Infantry enlisted soldier and communication commissioned officer.

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 […]

The Effect of Experience on Persona Perceptions Read More »

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

A Literature Review of Quantitative Persona Creation Read More »

Personas and Analytics: A Comparative User Study of Efficiency and Effectiveness for a User Identification Task

Personas are a well-known technique in human-computer interaction. However, there is a lack of rigorous empirical research evaluating personas relative to other methods.  In this 34-participant experiment, my colleagues and I compare a persona system and an analytics system, both using identical user data, for efficiency and effectiveness for a user identification task.  Results show

Personas and Analytics: A Comparative User Study of Efficiency and Effectiveness for a User Identification Task Read More »

Scroll to Top