Irene Reppa
Swansea University
39 Papers
121 Citations
Irene Reppa is an academic researcher from Swansea University. The author has contributed to research in topics: Computer science & Icon. The author has an hindex of 12, co-authored 30 publications. Previous affiliations of Irene Reppa include Bangor University.
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Papers
An Empirical Study on Using Visual Embellishments in Visualization
Rita Borgo,Alfie Abdul-Rahman,Farhan Mohamed,Phil W. Grant,Irene Reppa,Luciano Floridi,Min Chen +6 more
TL;DR: The results of this study show that visual embellishments can help participants better remember the information depicted in visualization, and can have a negative impact on the speed of visual search.
What makes icons appealing? The role of processing fluency in predicting icon appeal in different task contexts
TL;DR: The experiments reported here examined the icon characteristics determining appeal and the extent to which processing fluency - the subjective ease with which individuals process information - was used as a heuristic to guide appeal evaluations.
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When the going gets tough the beautiful get going: aesthetic appeal facilitates task performance.
Irene Reppa,Siné McDougall +1 more
TL;DR: Findings show that in a low-level visual processing task, with demand characteristics related to appeal eliminated, appeal can influence performance, especially under duress.
Why do I like it? The relationships between icon characteristics, user performance and aesthetic appeal
Siné McDougall,Irene Reppa +1 more
- 01 Sep 2008
TL;DR: When participants were asked to rate the appeal of a corpus of icons, it was found that the same icon characteristics predicted appeal as those predicting user performance.
The modulation of inhibition of return by objectinternal structure: Implications for theories of object-based attentional selection
Irene Reppa,E. Charles Leek +1 more
TL;DR: The results show that IOR is attenuated when cues and targets appear on the same part of an object relative to when they are separated by a part boundary, suggesting that object-based mechanisms of selection can operate over shape representations that make explicit information about objectinternal structure.