論文

査読有り
2018年

The role of top-down knowledge in spatial cueing using hierarchical diagrams

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Takeshi Sugio

10871
開始ページ
500
終了ページ
508
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1007/978-3-319-91376-6_45
出版者・発行元
Springer Verlag

The way in which cueing a local element of a hierarchical diagram influences the distribution of visual attention was examined. Using a modified spatial cueing paradigm, the relation between the cue and the target was manipulated by two factors: the level at which the target was presented (higher, identical, lower), and the component to which the target belonged (same or different). The results showed an interaction between these two factors, and simple main effect analysis revealed that the detection time of the target was influenced by three factors: belongingness to the same component, geometrical collinearity of the nodes, and top bias, which regards the top of the diagram as being more informative. All of these factors are related to the conventional knowledge normally possessed about the particular category of the diagrams, and to how such knowledge affects the efficiency of the diagram comprehension process.

リンク情報
DOI
https://doi.org/10.1007/978-3-319-91376-6_45
URL
http://dblp.uni-trier.de/db/conf/diagrams/diagrams2018.html#conf/diagrams/Sugio18

エクスポート
BibTeX RIS