Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/45673
Title: Extracting useful UI features for users with different levels of spatial visualization
Authors: Thitivatr PatanasakPinyo
Georgi Batinov
Kofi Whitney
Adel Sulaiman
Les Miller
Stephen Gilbert
Mahidol University
Iowa State University
Keywords: Computer Science
Issue Date: 1-Jan-2018
Citation: Proceedings of the 33rd International Conference on Computers and Their Applications, CATA 2018. Vol.2018-March, (2018)
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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85048415024&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/45673
Appears in Collections:Scopus 2018

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.