An Experiment Study on the Cognitive Schema of Trajectory in Dynamic Visualization

  • Xiaozhou Zhou
  • Chengqi XueEmail author
  • Congzhe Chen
  • Haiyan Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10906)


In theory, when the novel has a high-matching degree with the cognitive structure, the cognitive process maintains an equilibrium status, the assimilation process of cognitive schema generates at this time. And the new information may expand the existing cognitive structure in amount and strengthen the schema. However, if the novel has a low-matching degree with the existing cognitive structure, the cognitive process appears unbalance accompanied by the accommodation process. In big data era, the visual features of the movement of objects (trajectory) has become an important element in dynamic visualization. In the display space, the movement pattern corresponds to the movement schema in cognitive schema. Based on this, we designed an experiment to verify the theoretical reasoning of cognitive schemas of trajectory in dynamic visualization. The results showed that the cognitive schemas of trajectory in dynamic visualization could build up by iterative learning in a short time. And the cognitive schema had a certain degree of inclusiveness. The difference degree between the novel and the inherent information was the main factor of the effect of the cognitive schemas. But we didn’t found the obvious distinction between the assimilation process and the accommodation process of cognitive schemas in the experiment. We also found the different dynamic trajectories associated with the effect of cognitive schemas to a certain degree. This research opened up a new perspective of cognitive schemas for the study of dynamic visualization.


Dynamic visualization Cognitive schemas Assimilation Accommodation cognitive load 



This paper is supported by National Natural Science Foundation of China (No. 71471037). Thanks for all the participants involved in the experiments.


  1. 1.
    Aiken, R.B.J.A.: Richard Padovan—proportion: science, philosophy, architecture. Isis 93(3), 113–122 (2002)CrossRefGoogle Scholar
  2. 2.
    Bartlett, G.C.F.: Remembering. A study in experimental and social psychology. In: Schlüsselwerke der Kulturwissenschaften (2012)Google Scholar
  3. 3.
    Morris, R.P.: Method and system for providing a subscription to a tuple based on a schema associated with the tuple, US20090307374 (2009)Google Scholar
  4. 4.
    Rips, L.J., Smith, E.E., Shoben, E.J.: Set-theoretic and network models reconsidered: a comment on Hollan’s “Features and semantic memory”. Psychol. Rev. 82(2), 156–157 (1975)CrossRefGoogle Scholar
  5. 5.
    Jind, L., Elklit, A., Christiansen, D.: Cognitive schemata and processing among parents bereaved by infant death. J. Clin. Psychol. Med. Settings 17(4), 366–377 (2010)CrossRefGoogle Scholar
  6. 6.
    Klibert, J., Lamis, D.A., Naufel, K., et al.: Associations between perfectionism and generalized anxiety: examining cognitive schemas and gender. J. Ration.-Emot. Cognit.-Behav. Ther. 33(2), 160–178 (2015)CrossRefGoogle Scholar
  7. 7.
    Alvidrez, S., Igartua, J., Martinez-Roson, M.: Schematic representations of ethnic minorities in young university students. Anales De Psicologia 31(3), 930–940 (2015)CrossRefGoogle Scholar
  8. 8.
    Marr, D., Nishihara, H.K.: Representation and recognition of the spatial organization of three-dimensional shapes. Proc. R. Soc. Lond. B Biol. Sci. 200(1140), 269–294 (1978)CrossRefGoogle Scholar
  9. 9.
    Archambault, D., Purchase, H.C.: Can animation support the visualisation of dynamic graphs? Inf. Sci. 330, 495–509 (2015)CrossRefGoogle Scholar
  10. 10.
    Berch, D.B., Krikorian, R., Huha, E.M.: The corsi block-tapping task: methodological and theoretical considerations. Brain Cognit. 38(3), 317–338 (1998)CrossRefGoogle Scholar
  11. 11.
    Van Orden, K.F., Jung, T.P., Makeig, S.: Combined eye activity measures accurately estimate changes in sustained visual task performance. Biol. Psychol. 52(3), 221–240 (2000)CrossRefGoogle Scholar
  12. 12.
    Jacob, R.J.K., Karn, K.S.: Commentary on section 4 – eye tracking in human-computer interaction and usability research: ready to deliver the promises. Minds Eye 2(3), 573–605 (2003)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Xiaozhou Zhou
    • 1
  • Chengqi Xue
    • 1
    Email author
  • Congzhe Chen
    • 2
  • Haiyan Wang
    • 1
  1. 1.School of Mechanical EngineeringSoutheast UniversityNanjingChina
  2. 2.The 60th Research Institute of General Staff Department of P.L.ANanjingChina

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