Welcome to the Fall, 2020 Web Page for CS498 KA3/KA4: Experimental Methods for HCI and Interactive Technologies in Engineering

Course Instructor: Alex Kirlik.

Instructor's Office Hours: Please arrange a Zoom meeting via email.

Course Format: This course has been designed to accommodate students taking it EITHER in synchronous or asynchronous fashion. The lectures will be presented live at the listed course times (Tues/Thurs, 11am - 12:15) on Zoom and students may attend these lectures synchronously. All lectures will be recorded then for download at any time after they have been given for students who wish to view them asynchronously. Additionally, all course resources will be available either directly or by links from this (current) website URL ( http://courses.grainger.illinois.edu/cs498ka4/fa2020/) as a simple and single web address for all information related to the course.

Live Zoom Lecture Video Stream: For Synchronous Viewing, live videos will be streamed with Meeting ID "999 2906 5743" and Password "161371"over the UI Zoom website: Zoom Course Invitation Link each Tuesday and Thursday at 11am.

Recorded Zoom Lecture Videos: For Asynchronous Viewing, online videos will be posted soon after they are presented and hosted at the UI MediaSpace website: Illinois MediaSpace in the channel "CS 498KA Experimental HCI"

Course Time for Synchronous Lectures: Tuesdays and Thursdays, 11:00am - 12:15pm

Course Description: This course covers conceiving, designing, performing, analyzing data and reporting the results of experiments in HCI contexts and evaluating interactive technologies in engineering. Topics include defining the research question, selecting experimental objects, tasks, and participants, the ethical protection of subjects, selecting an experimental design, threats to validity, the collection and analysis of both qualitative and quantitative data and reporting experimental research in publications. Both parametric and nonparametric data analysis are covered, including the most commonly used inferential statistical tests such as repeated- and independent-measures ANOVA, post-hoc Tukey, Wilcoxon, Mann-Whitney, Kruskal-Wallis and others. Statistical material is taught using methods and examples based on mathematical foundations rather than with a statistical analysis software language or package to provide students a rigorous and intuitive understanding of these methods to complement the conveniences these programming environments provide in everyday research practice.

Online Course Textbook and Other Reading: Free, Online Versions of the following two books are available via your UIUC library account.

Textbook Website: Author: H.K. Purchase, Cambridge U. Press: Experimental Human-Computer Interaction.

Other Reading (Book): Editors: J.S. Olson and W.K. Kellogg, Springer: Ways of Knowing in HCI.

Class Schedule Available for Download:

Instructor's Class Presentation Files (TBD: Each Posted After Live - Synchronous - Presentation):