Author:
Yang Li- Yang: Senior Research Scientist at Google, he was a Research Associate in Computer Science & Engineering at the University of Washington before then. And Ph.D. degree in Computer Science from the Chinese Academy of Sciences.
Hypotheses:
The Author hypothesized that the average length of gesture queries for individual users would vary depending on the complexity of the personal data-set that the user would search. He needed to know if it is possible to distinguish with relatively high accuracy whether an input was intended as a GUI touch or a gesture. Find this out may lead to better options when searching on a cellphone.
Methods:
The author used an Android phone to test his hypothesis. In order to access the phones datae base, the user would need to draw a alhpebetical symbole, and a list of most used items would show up matching to that letter. With more letters the list becomes more complete and the user is able to choose what he was looking for.
The main consern was how the phone would distinguish tapping, or scrolling compared to drawing a letter. Telling GUI input apart from gesture input was difficult at first but resolved after a study was done involving users that helped develop a model for recognizing scrolling vs. gesture input quickly. The more the users would use a application the storage system would use a ranking algorithm to account for when displaying the results.
Methods:
The author used an Android phone to test his hypothesis. In order to access the phones datae base, the user would need to draw a alhpebetical symbole, and a list of most used items would show up matching to that letter. With more letters the list becomes more complete and the user is able to choose what he was looking for.
The main consern was how the phone would distinguish tapping, or scrolling compared to drawing a letter. Telling GUI input apart from gesture input was difficult at first but resolved after a study was done involving users that helped develop a model for recognizing scrolling vs. gesture input quickly. The more the users would use a application the storage system would use a ranking algorithm to account for when displaying the results.
Finally, the author had users form a specsific company use the application in there dailiy lives, and was able to recored how they used the application.
Results:
They found that most of the data access was used when only 1 to 3 characters were needed (80% only needed under 2) to find the application. And the survey that was given to the users in the business found it fun and useful to use in the work environment.
Discussion:
I love this application, i downloaded it after i read the article. It works fine, and now i actually have no use for the other desktops that the phone gives. The author had a very successful study in perfecting the tool. It may not be as fast for look up apps you regularly use, like say on the home screen, but for anything else, I find it useful.
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