This paper was presented at CHI 2011.
Summary
Hypothesis
The researcher's hypothesis in this paper was that they could identify a user's emotional state by simply using keystroke dynamics
Methods
To test their hypothesis, researchers recruited participants for the study and had them install a piece of software that would run in the background. This piece of software would measure key duration and key latency throughout the user's day-to-day activities on their PC.
The software would prompt the user through the day and ask the user how they were feeling at a certain time by asking them various questions in an emotional questionnaire. The user was then asked to type a randomly select portion from Alice in Wonderland.
The results of this entire study were put together and analyzed in an attempt to discern the user's mood through their typing habits.
Results
Researchers selected multiple features of typing sets to focus on when predicting mood. This includes keystroke duration and keystroke delay for various different keys in each key event chain.
They evaluated different models based on the user emotional state and the features of the key-entry during that area of time.
They discovered that when using these models, they were able to classify many of the emotions that were selected about 80% (and over) of the time.
Discussion
This is definitely an interesting article that could allow for several different interesting applications. One for example: when the system finds out that you're stressed or focused based on your key entry then it won't display any system notifications or it'll complete other actions to help the user stay focused.
An example of a fun application might be where a user is asked to type a given paragraph and based on how they type the paragraph, music that matches the user's mood will be played.
No comments:
Post a Comment