English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Stop using introspection to gather data for the design of computational modeling and spatial assistance

MPS-Authors
/persons/resource/persons84019

Knauff,  M
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Knauff, M. (2005). Stop using introspection to gather data for the design of computational modeling and spatial assistance. In AAAI Spring Symposium 2005: Reasoning with Mental and External Diagrams: Computational Modeling and Spatial Assistance (pp. 96-100). Menlo Park, CA, USA: AAAI Press.


Cite as: http://hdl.handle.net/21.11116/0000-0005-38D9-8
Abstract
Research in spatial cognition offers a wide spectrum of possibilities to combinepsychological and computational approaches. Sometimes, the design ofcomputational systems may merely be based on what researchers believehappen in their minds when solving spatial reasoning problems. In other cases,an already existing computational approach is enabledpost hoc as cognitively adequate, or psychologically valid.In the contribution, it will be argued that carefully conducted experiments with human participants are needed to understand spatial cognition. Based on such experiments, the contribution will then clarify the role of visual images and spatial representations in human reasoning and problem-solving. What is represented in such representations? Visual features such as color, shape, texture, etc?Spatial information such as topological, metrical, or ordinal relations? Then the contribution will provide experimental evidence on which kind of information should be presented in diagrams so that they efficiently support reasoning processes in humans and technical systems, as well as in human-machine interaction. Finally, it will provide some thought on why reasoning could be so inextricably connected to the cognitive representation and processing of space.