Advance Program - Tutorial

10. Test Design and Statistical Analysis for Usability Evaluation

Sunday, 08:30 - 17:00

Instructors
Andrew Dillon, Indiana University, USA
Cliff McKnight, Loughborough University, UK

Benefits
You will learn how to plan and identify reliable and valid statistical tests of user interfaces. You will get hands-on experience with data analysis, learn to plan usability evaluations and to analyze and interpret the resulting data.

Origins
This tutorial is new for CHI 2000.

Features

• How to design experiments to get maximum information
• How to analyze data in a statistically appropriate manner
• How to interpret results of analysis
• How to critique usability tests and user data analyses

Audience
Everyone who must gather and analyze usability data but who has no formal training in experimental design or statistical analysis.

Presentation
Brief lecture segments, discussion sessions, small team exercises and individual exercises.

Instructors
Andrew Dillon is an Associate Professor of Information Science at Indiana University. He received his Ph.D. in 1991 from Loughborough University; has published over 70 articles and four books on various aspects of HCI; and has consulted widely in the software industry. He serves on the editorial board of the International Journal of Human-Computer Studies and the New Review of Hypermedia and Multimedia. Cliff McKnight is Professor of Information Studies and Head of the Department of Information Science at Loughborough University. He received his Ph.D. in 1976 and has worked in a wide variety of industrial and academic settings. He is Editor in Chief of the Journal of Digital Information and is on the editorial board of several other journals. He is an associate fellow of the BPS, a fellow of the BCS, and a member of ACM SIGWEB.