"A meek endeavor to the triumph" by Sampath Jayarathna

Monday, September 06, 2010

Reading #3: “Those Look Similar!” Issues in Automating Gesture Design Advice

Comments on others:

Wenzhe Li


            This paper describes an interface design tool that uses unsolicited advice to help designers of pen-based user interfaces to create pen gestures which are dissimilar. The tool said to be designed such a way that it warns designers when their gestures will be perceived to be similar and advise how to make their gestures less similar. The authors state their gesture design tool “quill” which will advises designers on how to improve their gestures. To detect when people will perceive gestures as similar, quill said to be equipped with experimentally-derived model of human-perceived gesture similarity. This paper states its similarity experiment with outcomes of 99.8% for not similar gestures and 22.4% for similar ones with a gesture pair to perceive as similar or not. The paper also discusses interface and implementation challenges on quill.


             The paper discusses an interesting topic of helping interface designers to create less similar gestures with the pen based user interfaces. The paper states cut and paste as gestures with similar abstract operations which often confuse designers when assigning gestures. I’m not sure how true the statement is, may be authors wants to compare cut and copy, not cut and paste!!!
           With that much lower accuracy rate for identifying two similar gestures (22.4%), it is hard to understood that quill is so much accurate or powerful enough to predict when two gestures are similar (in my opinion the similarity experiment result accuracy is not even in the mid rage which is unacceptable). Also I feel the readers may want more detailed explanation on similarity experiment (as the backbone of the quill, by the way that’s what provide intelligence to quail) to get a fair idea of how the quill works.
           The paper discusses difficulties in providing advice, specially at what time, as soon or later. But the authors state that they found that the unsolicited advice is the best way though there are difficulties with the timing in situations like brainstorming. May be the solution is too simple to think (or stupid), but why don’t we create a condition for brainstorming (may be user can press a brainstorm button to stop advice, or stop advice button!! Genius or what).

Find the paper here.

1 comment:

Drew said...

I agree that the paper doesn't go into much detail about the similarity algorithms, and perhaps could be expanded into a longer paper. However, it seems that this paper served a dual-purpose of 1) introducing the idea and initial investigations into the problem of advice/feedback on gesture definition systems as well as 2) describing their technical implementations.

There are so many possibilities and still so much work to be done in this area. Perhaps someone in our class might want to experiment with some ideas and extensions to this or a similar system, such as the brainstorming phase you mention.