ABSTRACT
We present a novel metric for information capacity of full-body movements. It accommodates HCI scenarios involving continuous movement of multiple limbs. Throughput is calculated as mutual information in repeated motor sequences. It is affected by the complexity of movements and the precision with which an actor reproduces them. Computation requires decorrelating co-dependencies of movement features (e.g., wrist and elbow) and temporal alignment of sequences. HCI researchers can use the metric for charting the maxima of information available to an interface, comparing input devices, and studying human factors.
ABOUT THIS WORK
This work has been led by Antti Oulasvirta and Teemu Roos, and it has been funded by the Academy of Finland, the Max Planck Center for Visual Computing and Communication (MPC-VCC), EIT ICT Labs, and the Emil Aaltonen Foundation.
ABOUT ME
Arttu Modig is a graduate student of computational bioscience in Aalto University.
Last updated on 9 May 2013 by Brandon Malone - Page created on 9 May 2013 by Brandon Malone