Downloads

MTAGIC Children’s Gesture Corpus

Our NSF-funded project on children’s touchscreen interactions, which we call “MTAGIC” (Mobile Touch and Gesture Interaction for Children) was funded from 2012 through 2017. Over the course of this project we collected a large corpus of touchscreen gestures from over 120 children and 60 adults.

Download links coming soon!

Human Recognition Dataset Results

In our ICMI 2017 paper, we conducted a study of how well humans (i.e., Amazon Mechnical Turkers) could recognize children’s touchscreen gestures. We used a subset of the MTAGIC Children’s Gesture Corpus (see links above) to conduct this test. We make available the results of our human recognition tests here for interested researchers.

Download links coming soon!

MTAGIC UI Guidelines App

This app is the demo of the findings of the research paper Interaction and Recognition Challenges in Interpreting Children’s Touch and Gesture Input on Mobile Devices. In MTAGIC project lab studies, we have found evidence that children have more difficulty successfully acquiring touch targets and making consistent gestures than adults do. We have also found out issues related to mobile application design and came up with recommendations for better UI design for mobile devices, especially for children. This open-source app is the demonstration of our findings. Here is a demo video of the app. You can download the app for better understanding of the recommendations. You can also download the source code to directly embed the code in your app!

Downloads

APK File: mtagic-design-app.apk
Source Code: MTAGIC Design App-BitBucket

Other Downloads

$P recognizer
$N and $N-Protractor recognizers
GHoST gesture heatmaps toolkit
GREAT gesture execution toolkit
GECKo gesture clustering toolkit
MMG (mixed multistroke gestures) data corpus download link