DOI: 10.31274/etd-180810-5903
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Computer detection of spatial visualization in a location-based task

Abstract: An untapped area of productivity gains hinges on automatic detection of user cognitive characteristics. One such characteristic, spatial visualization ability, relates to users' computer performance. In this dissertation, we describe a novel, behavior-based, spatial visualization detection technique. The technique does not depend on sensors or knowledge of the environment and can be adopted on generic computers. In a Census Bureau location-based address verification task, detection rates exceeded 80% and appro… Show more

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Cited by 3 publications
(13 citation statements)
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References 44 publications
(72 reference statements)
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“…The first of these objectives was that we would like to implement a prediction method in the software such that it was able to predict a user's VZ based on their actions on the UI. This was an extension of Batinov's study [2].…”
Section: Objectivesmentioning
confidence: 57%
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“…The first of these objectives was that we would like to implement a prediction method in the software such that it was able to predict a user's VZ based on their actions on the UI. This was an extension of Batinov's study [2].…”
Section: Objectivesmentioning
confidence: 57%
“…As we previously mentioned that a purpose of this study was to see how each feature impacted participants' performance in address verification task, all the clues that we had from this study will be used in a development of an adaptive user interface software. Not only clues that we could get, we would also make a use of the prediction model [2] in order to develop an adaptive version of software interface. In addition we will continue to examine relevant literature for other features that have been shown to be helpful to high or low participants.…”
Section: Post-study Discussionmentioning
confidence: 99%
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