Student
Projects

Survey
Project: Reports, Survey software review etc. 
 Password
Usage: Francis, Hesham, Jason,
Jimmy, John
 Email
& Voice Mail: Ame, Danyel, Humberto, Monica
 Search
Engines: Anoop, Kim, Jennie, Mike
 SmartFurniture.com:
Jennifer, Kirsten, Sacha, Yisong

Final
Projects: Mostly experiments 


 Testing
Methods: Kinds of usability testing methods.

Usability
Goals: Sub domains of usability based on differential goals. 
 Usability
Design
 Usability
Testing




Class
Resources

Statistics:
Online statistics resources. 

Psychology
& Usability Research Methods: 

Testing
Methods: Kinds of usability testing methods. 
 Survey
 Logging
keystrokes
 HTML checkers
 Psychology
Experiments
 Eye tracking

Kinds
of usability data: 
 explicit
behavior
 implicit
behavior
 attitudes
 physiological
measures
 systems
characteristics

Research
Methods: 
Relevant
Text: Books and articles related to quantitative techniques 

Usability
Goals: Sub domains of usability based on differential goals.

 Usability
Design
 Usability
Testing

Relevant
Authors: HCI researchers and practitioners who utilize a
quantitative approach. 





Lectures:
(subject to change)


Lecture1:
Introduction, course plan, why measure, testing process, ...

8/30 
Lecture
2: Posing a usability question, developing the hypothesis,
operationalizing, Variables ... (Assignment
1: Find a research question, develop hypothesis, IV, DV). Slides
for Lecture 2 
9/1 
Lecture
3: Correlational methods, especially surveys (Assignment
1 due, I will return it the next day) (Survey Project: develop
survey further, generate sample questions) Slides
for Lecture 3 
9/6 
Lab
1: Hands on. Basic stats with Excel, Macros, Pivot tables
etc.. (Assignment 1 (survey software evaluation) due) (Survey Project:
develop survey further) 
9/8 
Lecture
4: Basic statistics, Analysis of a histogram, Mean, Median,
Normal Probability Curve. (Survey Project: finalize plans)
Slides for Lecture4 
9/13 
Lecture
5: 15 minute presentation by each group of their planned
survey, their research problem, IV (if any), DV, questions. lecture
on experimental designs (Assignment 2) (Survey Project: pilot test)

9/15 
Lecture
6 & Lab2: Lecture on sampling and probability. Hands
on: Basic stats with SPSS, How to do exploratory analysis. Slides
for Lecture 6

9/20 
Lecture
7 : Correlational statistics, Scatter plots. Also Correlational
statistics with SPSS (Assignment 2 due) (Survey project: finalize
survey, start data collection) Slides
for Lecture 7 
9/22 
Lab
3: Hands on statistics with SPSS. A review of exploratory
analysis, and correlational statistics (Partial Correlations). EMail
me your questions in advance. (Assignment 3)

9/27 
Lecture
8: Review of Normal Distribution, Standard Scores, The logic of
hypothesis testing. Null and Alternative Hypothesis, Type 1 and Type
2 Errors, Testing significance levels, Confidence Intervals. SLides
for Lecture 8 
9/29 
Lecture
9: Experimental Design, Reliability and Validity Slides
for Lecture 9 
10/4 
Lecture
10: Experimental Design II. Slides
for Lecture 10, Handout
for Lecture 10 
10/6 
Jenny Preece talk 
10/11 
Lecture
11 & Lab 4: T tests (One sample ttests, two sample t tests,
independent sample and paired sample t tests). Hands on: T tests with
SPSS (Room Change: Class will be in 205) 
10/13 
Lecture12
& Lab 5: Review of ttests, and introduction to ANOVA. Hands
on: ANOVA with SPSS. 
10/18 
Lecture
13: Guest Lecture: Nalini's Kotamraju from Productopia.com 
10/20 
Lecture
14: Guest Lecture: Michelle Pyror from Vividence.com on Usability
Testing 
10/25 
Lecture
15: Review of statistics 
10/27 
Lecture
16: ANOVA's cont: ANCOVA, Multifactor Anova's Familywise Error
Rate, Effect Size SLides for lecture 
11/1 
Lecture
17: Guest Lecture: Deborah Tater from SRI, on Eye Tracking Methods
in Usability 
11/3 
Lecture
18: Jeffrey Pennington from AskJeeves, on WebLog Analysis 
11/8 
Veterans Day Holiday 
11/10 
Lecture
19: Within Subjects ANOVA's. More advanced models. Hands on: Advanced
ANOVA models with SPSS 
11/15 
Lecture
20: Guest Lecture: Melody Ivory on Automated Evaluation Methods 
11/17 
Holiday? 
11/22 
Thanksgiving
Holiday 
11/24 
Lecture
21: Final Project Review, Data Analysis Issues. Lecture: Chi Square.
(Room Change: Class in Room 205.) 
11/29 
Lecture
22: Regression and Factor Analaysis 
12/1 
Lecture
23: Final Project Review, Data Analysis Issues. Introduction to Clustering
Techniques, and Multi Dimensional Scaling 
12/6 
Lecture
24: 
12/8 
Student
Project Presentations 
12/13 
Student
Project Presnetations 
12/15 
