EdgeWrite with integrated corner sequence help

Abstract

We describe a system that informs the users of the shape of the EdgeWrite characters within the visual feedback area of EdgeWrite. We compared two versions (static and dynamic) of this design to a printed character chart in a five-session text entry experiment with three 8-participant groups. The participants were able to use EdgeWrite with the integrated help systems. There were no statistically significant differences in text entry rate between the group using the character chart and the two groups using the integrated help. However, the group with the dynamic help was faster than the group with the static help while maintaining a low corrected error rate.

Is once enough?

“…The key point in number comparisons is that the comparison is not made to results of the experimental manipulation (in [12] that would have been task difficulty) but to raw values (in [12] accuracy). Another example is [33] that obtains a correctness rate in gesture guessing of 46% and compares it to earlier work. Number comparisons do not use the experimental component of the paper (which is a necessary to be classified as replication), but instead just checks or relates to a value from the original study.…”

“…This is 6.5% of the eligible papers and 3.1% of the full sample. The list of 28 replications can be obtained from the authors; in the present paper we discuss some of them [1,3,5,6,10,12,13,14,25,29,30,33,38,41,42,47,49,52]. Heer and Bostock [14], for instance, used crowdsourcing to replicate classic results in graphical perception; Pietriga and Appert [42] introduced new types of lenses for magnifying data and compared their performance to earlier work.…”

UniGuide

“…De même EdgeWrite propose un alphabet basé sur l'ordre de passage dans les quatre coins d'un carré [13] . Même si les gestes se rapprochent de l'alphabet latin, il impose l'usage d'une table de caractères m ais une aide intégrée au retour visuel a été proposée [8]. Un expert peut toutefois réaliser ses gestes sans se soucier de cette aide.…”

Continuous edgewrite

“…Thanks to the continued work of the original inventors and others its properties are perhaps best known among the new text entry techniques that have been proposed in recent years [7,12,13,14,15,16,17].…”

“…For example, the visualization system proposed by Martin and Isokoski [7] opened new possibilities for designing the system. Namely, one of the premises for the original character design was that the system must be easy to learn and therefore the goal was to use character shapes that are already known by new users.…”