Single tap pointer precision score of human players on a touch screen

  • Last Update:July,1,2021 Created:July,1,2021
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Title of the dataset Single tap pointer precision score of human players on a touch screen
Provenance of the dataset Iraka / / / self collected from experiment
How were the data collected/created? What was the cost? LeapMotion sensor / hand recorded result
Data sharing policy With anyone.
Data sharing policy

About data analysis and simulation

Type of data: Check all that apply. Use "Other" to specify other types so that we can include them in further updates. number
Variable labels of dataset (the names of the variables) frequency|accuracy
Outline of data number of objects per sec - accuracy percentage
Simulation process hardware setup: LeapMotion tracking hands, count the accuracy of points touched after 5 mins. Points occur at a certain pattern selected from a beatmap database.
Expected outcome of the process (obtained knowledge, analysis results, output of tools) How ordinary people's accuracy drops when the points on the screen shows faster. Use the peak of 2nd-order derivative to decide the turn of the accuracy change so that the mid-value of ordinary people start to feel stressed clicking the points right.
Anticipation for analyses/simulations other than the typical ones provided above Used for skill evaluation on touchscreens, like checking if the behavior follows the Fitts's law. Can also be used to evaluate the skill level of touchscreen game players.


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