As a Research Assistant at the Michigan Information Interaction Lab, University of Michigan - Ann Arbor, prototyped earlier versions of the worker interface for crowdsourcing tasks and collected gesture sets for touch, mouse and AR environments.
This research was later published by Prof. Michael Nebeling and researcher Maximilian Speicher at CHI 2018, Montreal, Canada [Paper]
Designers and researchers often rely on simple gesture recognizers like Wobbrock et al.’s $1 for rapid user interface prototypes. They do so because its 16 gestures are well-established, well-studied, and therefore provide a good baseline. Most existing recognizers aren’t sufficient because:
Simply put, the process of creating prototypes that employ advanced touch and mid-air gestures still requires significant technical experience and programming skills.