4. Outline
Am I doing Human Research?
Getting Started
Conducting
Evaluation
Practicals
Questions/Case Studies
5. Warnings
I am not Traditional, I am Media Lab
I care a lot about inspiring design.
I work a lot with companies.
You will not learn the things I am about to
tell you in any class. In fact, many, many
people will disagree with me.
There is not one right way. The wrong way
would be not caring.
20. Too Much Data
Lots of Data is not a band-aid
Different than learning as you
go.
21. Evaluation
The Dangers of Machine Learning
The Dangers of Quantitative Methods
The Dangers of Qualitative Methods
22. Machine
Learning
Machine Learning shows whether
you can separate two parts of
data.
You need to know a lot of
statistics to appropriately use this
in research.
27. Quantitative Methods
Regression Analysis or ANOVA
Do the Means Differ taking into account X,
Y, and Z.
Are people more self-aware working with
a robot taking into account gender,
personality type, and financial income?
28. Quantitative Methods
Correlations
When X changes, does Y change as well
Does the larger the robot correlate to the
more self-aware a person is?
29. Quantitative Methods
Warning!
P<0.05 - the means may be different
Does not equate to the differences are
large or interesting
Most people already have an answer
before they ask their question
Does not allow for discovery.
30. Quantitative Methods
Warning! Part 2
Normal Distribution
Hidden Variables
Independent Samples
Proper Sample Size
Number of Tests
Transformations
Within or Across
31. Qualitative Methods
Tell People What you Really Learned
Open Ended – Let the world come in
Descriptive
Flexible
32. Qualitative Methods
Short Interviews / Surveys
Did you feel more self-aware after working
with the robots?
Create biases
Acceptable in journal?
36. Warnings
Traditional Ethnography is near
impossible to do in the Media
Lab
Interviews are more difficult to
conduct correctly and take a
longer time than statistics
Cannot answer questions
about how frequent an event
occurs.
Will it get accepted?
37. Warnings Part 2
Grounded Theory
1. Transcribe all the important
interviews
2. Write field-notes about
each of your interviews.
3. Go through all the
transcriptions and highlight
every time a theme occurs.
4. Relate findings to previous
established theory about
that theme.
5. Go back through all the
notes again.
38. It’s Great to Fail!
You are here to learn and try!
But make sure you try!
40. Quantitative Books
Cohen & Lea (2004). Essentials of Statistics for
the Social and Behavioral Sciences. New
Jersey:
Wiley & Kline (2009). Becoming a Behavioral
Science Researcher: A Guide to Producing
Research That Matters. New York: Guilford
Press.
Lane, D., Lu, J., Peres, C &. Zitek, E (2008).
Online Statistics: An Interactive Multimedia
Course ofStudy. http://onlinestatbook.com/
41. Qualitative Books
Luker, Kristin. (2008). Salsa Dancing into
the Social Sciences: Research in an age
of info-glut
Emerson, Robert (1995). Writing
Ethnographic Field Notes.
42. People
Statistics: Benj. Mako Hill
Qualitative: Karen Brennan, Tiffany Tseng
Industrial/Design Research: Elliott Hedman
43. Quantitative Classes
ANOVA statistics with M.L. Cummings
Engineering Systems, MIT
Empirical Methods 1 and II (API-202A)
Make sure to do the A class
Kenedy School of Government, Harvard
Harvard School of Education
Lots of Good APPLIED classes
Do PhD Level
44. Qualitative Classes
21A.760J Qualitative Research Methods
Difficult to get into
Must have strong Grounded Theory
Harvard School of Education
MIT School of Architecture
45. Methods Class
21A.861 Methods for Graduate Research
in the Social Sciences
Psychology 1901a - Methods of Behavioral
Research
Harvard Psychology
46. Questions and Case Studies
Feel Free to Reach Out With Questions:
hedman@media.mit.edu