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Below is an initial draft of the overall objective of the group seminar. This is a continually evolving text,
so please suggest modifications as you see fit.
Motivation
It seems that a number of us (CS grad students with interest in HCI) feel that our background in quantitative/qualitative
design and analysis methods are quite rusty, and can benefit from a concisely-formatted group meeting-style sessions in which
we can learn about the essential concepts, techniques and tools for successfully designing and analyzing HCI experiments.
What it is
- A group meeting in which students (and possibly faculty) with
experience in both HCI and experimental design and data analysis will
share their knowledge of the topic with other students in the field,
in the context of research that is relevant to the group
- An informal setting in which basic statistical terminologies and
methods can be explained with relevant examples and tools, as well as
one in which students can bring up particular research project they
are working on and receive feedback on how to conduct the
design/analysis
- Currently, considering making it a 591 group seminar, and for the
first few weeks having a set of topics related to various statistical
analysis concepts that will be covered by someone with experience
(e.g. a senior student, someone from Tech. Comm./iSchool/etc), and
having the rest be made available to discuss particular issues anyone
might have in their project
What it is not
- The overall goal of this is not to be a replacement for taking a
full experimental methods course, but rather as a way for us to share
knowledge about the topic in a manner that is most relevant to the
research we do in HCI using our own work as examples.
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