%0 Journal Article %1 EVL-2000-444 %A Gildfind, Andrew %A Gigante, Michael A. %A Al-Qaimari, Ghassan %D 2000 %I John Wiley & Sons, Ltd. %J Journal of Visualization and Computer Animation %K adaptive algorithms, animation, capture, control genetic interfaces motion performance programming, puppetry, systems, user %N 4 %P 169--183 %R doi:10.1002/1099-1778(200009)11:4<169::AID-VIS217>3.0.CO;2-L %T Evolving performance control systems for digital puppetry %U http://citeseer.ist.psu.edu/438189.html %V 11 %X We describe a new approach for creating performance control systems for digital puppetry. Genetic programming with fitness values specified directly by the puppeteer is used. A generic device and model representation combined with the inherent domain independence of the genetic programming paradigm allows this approach to create control systems for arbitrary combinations of input devices and models. In addition, a number of unique interaction techniques have been developed to support the user-directed search. In this paper we introduce the approach, describe the implementation and user interface and present the results from a comprehensive evaluation with expert users. We show that a search-based approach can provide an effective alternative to manually designing performance control systems and an elegant mechanism for unifying low-level input devices with a broad range of model control modes.

@article{EVL-2000-444, abstract = {We describe a new approach for creating performance control systems for digital puppetry. Genetic programming with fitness values specified directly by the puppeteer is used. A generic device and model representation combined with the inherent domain independence of the genetic programming paradigm allows this approach to create control systems for arbitrary combinations of input devices and models. In addition, a number of unique interaction techniques have been developed to support the user-directed search. In this paper we introduce the approach, describe the implementation and user interface and present the results from a comprehensive evaluation with expert users. We show that a search-based approach can provide an effective alternative to manually designing performance control systems and an elegant mechanism for unifying low-level input devices with a broad range of model control modes.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Gildfind, Andrew and Gigante, Michael A. and Al-Qaimari, Ghassan}, biburl = {https://www.bibsonomy.org/bibtex/24f6c611a105d1e651bbedf975afd857c/brazovayeye}, doi = {doi:10.1002/1099-1778(200009)11:4<169::AID-VIS217>3.0.CO;2-L}, interhash = {96368e52e91dee622afb991fff2f5c87}, intrahash = {4f6c611a105d1e651bbedf975afd857c}, journal = {Journal of Visualization and Computer Animation}, keywords = {adaptive algorithms, animation, capture, control genetic interfaces motion performance programming, puppetry, systems, user}, month = {3 October}, number = 4, pages = {169--183}, publisher = {John Wiley & Sons, Ltd.}, size = {16 pages}, timestamp = {2008-06-19T17:40:19.000+0200}, title = {Evolving performance control systems for digital puppetry}, url = {http://citeseer.ist.psu.edu/438189.html}, volume = 11, year = 2000 }