• DocumentCode
    640892
  • Title

    Investigating intuitive granularities of overlap relations

  • Author

    Wallgrun, Jan Oliver ; Jinlong Yang ; Klippel, Alexander

  • Author_Institution
    Dept. of Geogr., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2013
  • fDate
    16-18 July 2013
  • Firstpage
    300
  • Lastpage
    307
  • Abstract
    We present four human behavioral experiments to address the question of intuitive granularities in fundamental spatial relations as they can be found in formal spatial calculi that focus on invariant characteristics under certain (especially topological) transformations. Of particular interest to this article is the concept of two spatially extended entities overlapping each other. The overlap concept has been extensively treated in Galton´s mode of overlap calculus [1]. In the first two experiments, we used a category construction task to calibrate this calculus against behavioral data and found that participants adopted a very coarse view on the concept of overlap, only distinguishing between three general relations: proper part, overlap, and non-overlap. In the following two experiments, we changed the instructions to explicitly address the possibility that humans could be swayed to adopt a more detailed level of granularity, that is, we encouraged them to create as many meaningful groups as possible. The results show that the three relations identified earlier (overlap, non-overlap, and proper part) are very robust and a natural level of granularity across all four experiments but that contextual factors gain more influence at finer levels of granularity.
  • Keywords
    behavioural sciences; Galtons mode; behavioral data; formal spatial calculi; human behavioral experiments; invariant characteristics; investigating intuitive granularities; overlap relations; spatial relations; Calculus; Cognition; Geometry; Heating; Semantics; Software; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4799-0781-6
  • Type

    conf

  • DOI
    10.1109/ICCI-CC.2013.6622258
  • Filename
    6622258