Overordnede kursusmål
This course is intended for students who are interested in learning
about, or refining their skill in, empirical research methods in
interactive systems. The course will be of particular interest to
researchers (including students) who are striving to develop and
evaluate new interfaces or interaction techniques, with the goal of
publishing the results in a research journal or conference
proceedings. As well as studying methods of evaluation with users,
the course includes a focus on building and testing models of
interaction, including descriptive, analytic, and predictive
models.
Læringsmål
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
- Den studerende vil opnå viden om: models of interaction
- descriptive models, analytic models and predictive models
- input devices and techniques
- human perception and cognition and human motor performance
- Venn diagram
- statistiske værktøjer
- keystroke-level model
- model predictions and model testing
- Fitts’ law, Hick-Hyman law, visual search model
Kursusindhold
Content
The following topics are included in this course:
• What is empirical research?
• What is the scientific method?
• Discovering and narrowing in on topics suitable for research in
HCI
• Formulating "testable" research questions
• Modeling Interaction
• Types of models (descriptive, analytic, predictive)
• Examples of models (keystroke-level models, Fitts' law,
3-state model for graphical input, bimanual control model, etc.)
• How to design a user experiment to answer research questions
• Parts of an experiment (independent variables, dependent
variables, counterbalancing, etc.)
• A real in-class experiment will be conducted ( approx. 30
minutes)
• Experiment results (graphs, correlations, analysis variance,
etc.)
• Experiment design issues (choosing between within subjects vs.
between subjects factors, internal validity, external validity,
control variables, confounding variables, counterbalancing test
conditions)
• How to organize and write a successful research paper
Litteraturhenvisninger
Introduktionsbog "MacKenzie, I. S. (2013). Human-computer
interaction: An empirical research perspective. Waltham, MA: Morgan
Kaufmann"
Bemærkninger
Scott MacKenzie will be the course lecturer. His research is in
human-computer interaction with an emphasis on human performance
measurement and modeling, experimental methods and evaluation,
interaction devices and techniques, alphanumeric entry, gaming,
language modeling, and mobile computing. He has more than 160
publications in the field of Human-Computer Interaction (including
more than 30 from the ACM's annual SIGCHI conference) and has
given numerous invited talks over the past 25 years. Since 1999, he
has been Associate Professor of Electrical Engineering and Computer
Science at York University, Canada.
Sidst opdateret
09. september, 2016
