Papers by Ruud Koolen
DIDEC: The Dutch Image Description and Eye-tracking Corpus (C18-1)
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| Challenge: | Using a corpus of spoken Dutch image descriptions and eye-tracking data, we can gain a deeper understanding of the image description task, especially how visual attention is correlated with the image descriptions. |
| Approach: | They present a corpus of spoken Dutch image descriptions paired with eye-tracking data from Free viewing and Description viewing tasks to provide an initial analysis of self-corrections in image descriptions. |
| Outcome: | The results show that the eye-tracking data for the description viewing task is more coherent than for the free-viewing task, and that variation in image descriptions is only moderately correlated across different languages. |