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dc.contributor.authorThitivatr PatanasakPinyoen_US
dc.contributor.authorGeorgi Batinoven_US
dc.contributor.authorKofi Whitneyen_US
dc.contributor.authorAdel Sulaimanen_US
dc.contributor.authorLes Milleren_US
dc.contributor.authorStephen Gilberten_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherIowa State Universityen_US
dc.identifier.citationProceedings of the 33rd International Conference on Computers and Their Applications, CATA 2018. Vol.2018-March, (2018)en_US
dc.description.abstract© 2018 The International Society for Computers and Their Applications (ISCA). All rights reserved. Spatial visualization (VZ) has been shown to be an ability that indicates how well (1) a user understands how software functions work and (2) he/she uses the software to accomplish a task. Users with high level of VZ perform better than those with low VZ. This performance increase has also been shown for location-based software based on address verification task. To improve performance of users of location-based survey software, it is necessary to find UI features that help users with different levels of VZ. The present work examines features using the address verification task used by the Census Bureau. In particular, we look at a study used to test three such features and determine their impact on both high and low VZ users. Finally, we briefly look at the results of a second study that employs all three features to test the question of whether such a mixture of features will close the gap between high and low VZ users.en_US
dc.rightsMahidol Universityen_US
dc.subjectComputer Scienceen_US
dc.titleExtracting useful UI features for users with different levels of spatial visualizationen_US
dc.typeConference Paperen_US
Appears in Collections:Scopus 2018

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