Class Description

Fall 2020

INF 385T Special Topics in Information Science : Quantifying User Experience

Unique ID: 27274 Jacek Gwizdka
12:00 pm - 3:00 pm Syllabus

DESCRIPTION

A practical introduction and guide for using statistics to solve quantitative problems in user research. Many designers and user researchers view usability and user research as qualitative activities, which do not use formulas and numbers. However, usability practitioners and user researchers are increasingly expected to quantify the benefits of their efforts. The impact of good and bad designs can be quantified in terms of user performance, task completion rates and times, perceived user satisfaction. The course will address questions frequently faced by user researchers, such as, how to compare usability of products for A/B testing and competitive analysis, how to measure the interaction behavior and attitudes of users, how to estimate the number of users needed for usability testing. The course will introduce students to a foundation for statistical theories and the best practices needed to apply them. It will cover descriptive statistics, confidence intervals, standardized usability questionnaires, correlation, regression, and analysis of variance. It will also address how to effectively communicate the quantitative results.

PREREQUISITES

Graduate standing.

SCHEDULE NOTES

Synchronous class meetings conducted online.

RESTRICTIONS

Some seats reserved for graduate students in the School of Information.