Description |
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Abstract: Individual
traits are not always considered when designing data analytic software. However,
previous research has shown that individual differences do matter when presenting visual
content. Our experimental results demonstrate the ability to determine a user's
extraversion in real time by analyzing their interactions with a data visualization
found on many platforms, the node-link ... read morediagram. The results show that users with higher
extraversion moused-over more nodes than those with lower extraversion, showing a
distinct difference in behavior between user trait groups. I then discuss the results of
the experiment, and the impact this finding has for user trait
modeling.
Thesis (M.S.)--Tufts University,
2018.
Submitted to the Dept. of Computer
Science.
Advisor: Remco
Chang.
Committee: Remco Chang, Megan Monroe, and
Zahar Prasov.
Keyword: Computer
science.read less
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