Are you interested in evaluating your Intelligent User Interface with a user experiment?
Have you conducted user experiments before, but want to learn how to use state-of-the-art techniques like factor analysis and structural equation modeling?
This tutorial will teach best practices and state-of-the-art methods for designing, conducting, and evaluating user experiments in the field of Intelligent User Interfaces.
The tutorial will have something to offer for (and be accessible to) both beginners (e.g., students starting out in the field, systems researchers interested in user evaluation) and experts (seasoned HCI researchers).
The tutorial will mainly consist of lecture-style demonstrations, but there will be ample time for questions regarding your specific research. No prior knowledge of statistical evaluations or specific software is required, but participants with some knowledge of stats who have RStudio and G*Power installed on their laptops can follow along with examples in the starred (*) topics.
Bart Knijnenburg is an assistant professor in Human-Centered Computing at Clemson University. He is the author of one of the leading frameworks for user-centric evaluation of recommender systems, as well as a book chapter on user experiments for the upcoming 2nd edition of the Recommender Systems Handbook. He is an expert reviewer on the topic of user-research statistics for several conferences and journals, and a consultant on several academic and industry projects. He has also attempted to explain the tutorial topic to a general (non-academic) audience in a TEDx talk titled “Technopsychometrics”.