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
|
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| |
|
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. |
|
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| |
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|
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 t-tests, 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 |
|
