Publication: Extracting useful UI features for users with different levels of spatial visualization
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2018-01-01
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2-s2.0-85048415024
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Mahidol University
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SCOPUS
Bibliographic Citation
Proceedings of the 33rd International Conference on Computers and Their Applications, CATA 2018. Vol.2018-March, (2018)
Suggested Citation
Thitivatr PatanasakPinyo, Georgi Batinov, Kofi Whitney, Adel Sulaiman, Les Miller, Stephen Gilbert Extracting useful UI features for users with different levels of spatial visualization. Proceedings of the 33rd International Conference on Computers and Their Applications, CATA 2018. Vol.2018-March, (2018). Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/45673
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Title
Extracting useful UI features for users with different levels of spatial visualization
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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.