No data will be saved this session.
Your participant id is
Please enter this into AMT so we can approve your HIT.
You are invited to participate in an experiment exploring machine learning techniques for aiding human performance. This research is being conducted by Mark Rucker, a graduate student at the University of Virginia, and will take approximately one minute to complete from beginning to end.
Below are details about the experiment. Your participation is entirely voluntary, and you may exit at any time by closing your browser window. If you would like to continue, please click "Participate".
What you would do:
- One, five-question, multiple-choice survey
- Two, fifteen-second dexterity games
Data we would collect:
- From the survey:
- age and gender (not identifiable)
- device specs (e.g., mouse type)
- From the games:
- cursor data (e.g. position)
- game data (e.g. score)
Thank you for choosing to participate.
To continue, please answer the following:
Next, please read the directions for the games.
The Goal:
- To earn as many points as possible.
The Game
- For 15 seconds targets will randomly appear
- Touching targets awards points
- All targets have the same size
- All targets have the same shape
- Targets disappear after 1 second
The Points:
- Target values may differ between games
- Differences will be explained before playing
Game 1 Point Values:
- For this game all targets are worth 1 point.
Game 1 Start:
- When ready, please click "Start Countdown".
- A three-second countdown begins the game.
This ends Game 1.
When you are ready to proceed please click "Next"
Game 2 Point Values:
- For game 2 target points may vary from target to target.
- Point differences are differentiated by color and fill.
Game 2 Start:
- When ready, please click "Start Countdown".
- A three-second countdown will begin the game.
This ends the experiment. Thank you for participating.
If you'd like to play again, you are welcome to refresh the page.