Chi '11
By:
Clayton Epp, Michael Lippold, and Regan Mandryk.
- Clayton Epp is currently a Software Engineer for a private consulting firm. He also holds a masters degree in CHI from the University of Saskatchewan.
- Michael Lippold is currently a masters student at the University of Saskatchewan.
- Regan Mandryk is an Assistant Professor in the department of CS at the University of Saskatchewan.
Summary
Hypothesis
The researchers hypothesise that it is feasible to discern a users emotions using keystrokes.
Methods
Using a program to record keystrokes the researchers were able to have users fill out an emotional state based questionnaire along with another piece of text to type based upon keystroke frequency. The data gathered from this was key presses, release events, codes assigned to each key and time stamps for key events.
Results
Using under-sampling on various models to have more meaningful data they were able to conclude that these models were more accurate and most consistent. Essentially they were far better.
Contents
This paper discusses how minute measurements of keystrokes can be used to give a fairly accurate representation of the users emotional state. There is some discussion of related work in Human Computing. They also spend some time discussing ways in which to further research this topic and how to effectively use the results of this paper.
Discussion
I felt this paper is going to some potential problems. This is just going to mean that the ads I get online are now going to be fine tuned to my mood. However it does have plenty of pros. It's going to make online communication done using only text far more accurate if it displays the accompanying mood, thus reducing misunderstandings. This may lead to the acceptance of sarcasm in text based communications.
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