Date of Award
Doctor of Philosophy
Individual spatial visualization has been proved to be an important factor that impacts software usage performance, especially on location-based software, which has become a major trend in this ubiquitous computing era. Developing a solution that could enhance a location-based software to handle different users with various levels of spatial visualization abilities could yield improvement in both software usability and user performance. In this dissertation, we started by setting up an hypothesis with a goal to discover the factors that are helpful in minimizing/flattening those differences. Users with various spatial visualization abilities could generate a similar performance on the same software. To test this, we have run experiments to verify this claim. An application used in this study is address verification using location-based software on a portable computing device, which is a professional task used by US census bureau office. We have developed an adaptive location-based software that is able to adapt its user interface in real time according to the user's spatial visualization level.
Patanasakpinyo, Thitivatr, "Flattening methods for adaptive location-based software to user abilities" (2017). Graduate Theses and Dissertations. 16191.