Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views
| Autor: | William A. Mackaness, Lucas Godfrey |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Cognitive map
Relation (database) Computer science business.industry 05 social sciences Cognition Spatial cognition 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Human–computer interaction Metric (mathematics) 0501 psychology and cognitive sciences Computer vision Artificial intelligence Representation (mathematics) business Mobile device 030217 neurology & neurosurgery Cognitive load |
| Zdroj: | Lecture Notes in Geoinformation and Cartography ISBN: 9783319639451 COSIT (Workshops/Posters) |
| DOI: | 10.1007/978-3-319-63946-8_13 |
| Popis: | We present work from an on-going project to develop techniques of automated cartography. We introduce Artificial Cognitive Maps as an approach to integrating insights from spatial cognition with geographic data. The ultimate goal is to drive highly contextual map views that more effectively support navigation tasks such as travelling across large, complex cities. With a focus on our now ubiquitous small screen mobile devices, we propose that distortions on the traditional metric cartographic representation may support a reduction in cognitive load for the user, but that the logic and parameters of these distortions should be founded on the natural distortions present in our cognitive representations of geographic objects and their relation. |
| Databáze: | OpenAIRE |
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