Summary
In this paper, the author describes their gesture design tool named quill. This system performs user initiated and automatic analysis on different gesture classes to determine which ones may be recognized as similar by either the computer system or a human. The quill system uses the algorithm developed by Rubine to classify gesture classes based on ten to fifteen examples for each gesture class.The paper also discusses various challenges that arise when designing a system to give feedback to designers of gestures. The issues of timing of analysis and feedback, how much feedback, and what kind of feedback should be given are all discussed. The paper finishes by discussing some shortcomings of recognizing human-perceived similarities and how these can be improved in the future.
Discussion
This paper discusses some important issues for any developer creating a system that is meant to provide feedback to its users. The timing and presentation of the feedback given in quill is provided in a way as to minimize disrupting a gesture designer during the creative process. Providing feedback about the machine similarity of gesture classes can be valuable to a new gesture designer who is unfamiliar with the feature set provided by Rubine and the way in which a computer classifies gestures.
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