Analysis of pointing tasks on a white board

2Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We study the variations in two dimensional (2D) pointing tasks on a traditional white board of a group of subjects by means of capturing their movement traces in an automatic way with the Mimio device. Such traces provide detailed insight in the variability of 2D pointing relevant for example for the design of computer vision based gestural interaction. This study provides experimental evidence that for medium large distances Fitts' model, and Welfords and Shannons variants, continue to show a linear relationship between movement time (MT) and the index of difficulty (ID) with a high correlation for the ranges considered. The expected increased sensitivity to changes in ID for these larger distances are confirmed. Nearly all movements show three phases: a planning phase, a ballistic phase and an adjustment phase. Finally, we show that the arrival time at the target resembles a log-normal distribution. © Springer-Verlag Berlin Heidelberg 2007.

Cite

CITATION STYLE

APA

Faconti, G., & Massink, M. (2007). Analysis of pointing tasks on a white board. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4323 LNCS, pp. 185–198). Springer Verlag. https://doi.org/10.1007/978-3-540-69554-7_15

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free