%0 Conference Proceedings
%T Estimating Production Time of Touchless Hand Drawing Gestures
%+ Universidad de Chile = University of Chile [Santiago] (UCHILE)
%+ Universidad Técnica Estatal de Quevedo (UTEQ)
%+ Victoria University of Wellington
%A Erazo, Orlando
%A Pino, José, A.
%A Antunes, Pedro
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th Human-Computer Interaction (INTERACT)
%C Bamberg, Germany
%3 Human-Computer Interaction – INTERACT 2015
%V LNCS-9298
%N Part III
%P 552-569
%8 2015-09-14
%D 2015
%R 10.1007/978-3-319-22698-9_38
%K Touchless hand gestures
%K Natural user interfaces
%K Predictive evaluation
%K User models
%Z Computer Science [cs]Conference papers
%X Quantitative user models such as CLC, Isokoski’s and KLM have been used to estimate the production time of mouse and pen interactions (pointing, clicking, selecting, drawing, writing). In this paper, we assess if these models can be adapted to estimate the production time of touchless hand gestures (air figures of letters and numbers). New parameters were added to the existing models with empirical values drawn from experiments with users. Two metrics were used to evaluate model quality: strength of the relationship between estimated and observed times, and percentage root mean square error. The obtained results support the hypothesis that CLC, Isokoski’s and KLM can be adapted to touchless hand gestures. The paper contributes with model modifications and parameters required to estimate the production times of touchless hand gestures.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-01609401/document
%2 https://inria.hal.science/hal-01609401/file/346946_1_En_38_Chapter.pdf
%L hal-01609401
%U https://inria.hal.science/hal-01609401
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-9298