User-defined Interface Gestures

Daniela Grijincu, Miguel A. Nacenta, Per Ola Kristensson
2014 Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces - ITS '14  
We present a video-based gesture dataset and a methodology for annotating video-based gesture datasets. Our dataset consists of user-defined gestures generated by 18 participants from a previous investigation of gesture memorability. We design and use a crowd-sourced classification task to annotate the videos. The results are made available through a web-based visualization that allows researchers and designers to explore the dataset. Finally, we perform an additional descriptive analysis and
more » ... tive analysis and quantitative modeling exercise that provide additional insights into the results of the original study. To facilitate the use of the presented methodology by other researchers we share the data, the source of the human intelligence tasks for crowdsourcing, a new taxonomy that integrates previous work, and the source code of the visualization tool.
doi:10.1145/2669485.2669511 dblp:conf/tabletop/GrijincuNK14 fatcat:wjka5gq5wfannlikyl4wre7qcu