Tilburg Center for Cognition and Communication (TiCC), Tilburg University, Tilburg, The Netherlands.
Cogn Sci. 2013 Mar;37(2):395-411. doi: 10.1111/cogs.12019. Epub 2013 Jan 7.
This study investigates to what extent the amount of variation in a visual scene causes speakers to mention the attribute color in their definite target descriptions, focusing on scenes in which this attribute is not needed for identification of the target. The results of our three experiments show that speakers are more likely to redundantly include a color attribute when the scene variation is high as compared with when this variation is low (even if this leads to overspecified descriptions). We argue that these findings are problematic for existing algorithms that aim to automatically generate psychologically realistic target descriptions, such as the Incremental Algorithm, as these algorithms make use of a fixed preference order per domain and do not take visual scene variation into account.
本研究旨在探讨视觉场景中变化的程度在何种程度上导致说话者在其明确目标描述中提及属性颜色，重点关注该属性对于目标识别不需要的场景。我们的三个实验结果表明，与场景变化低时相比，当场景变化高时，说话者更有可能冗余地包含颜色属性（即使这导致描述过度指定）。我们认为这些发现对旨在自动生成心理现实目标描述的现有算法（如增量算法）提出了挑战，因为这些算法每域使用固定的偏好顺序，并且不考虑视觉场景变化。
