Toward Dream Cartography: Mapping Dream Space and Content
Cristina M. Iosifescu Enescu, Jacques Montangero, Lorenz Hurni
Cartographica December 1, 2015 DOI: 10.3138/cart.50.4.3137 (opens in new tab)
Summary
AI-generated from the abstractDream cartography aims to map dream content by developing and adapting visualization methods for explorative dream analysis. The authors describe a workflow for modeling, documenting, reuniting, and graphically depicting the dream space and other psychological aspects of dreams in an abstracted way, focusing on data acquisition. Because the dream space cannot be consciously revisited, they propose means for obtaining more accurate descriptions of dream elements, illustrated with proof-of-concept visualization examples.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key finding | Proposes a workflow for mapping dreams through data acquisition and visualization, addressing the challenge that dream spaces cannot be consciously revisited. |
Abstract
The objective of dream cartography is to map dream content, that is, to develop new visualization methods and adapt existing ones as graphical means for an explorative dream analysis. We aim at modelling (i.e., disentangling), documenting, reuniting, and graphically depicting the dream space and other relevant psychological aspects of dreams in a meaningful but abstracted way. In this article we describe the proposed workflow for mapping dreams, focusing on data acquisition, and illustrate it with some proof-of-concept visualization examples. The dream space is fundamentally different from the real space, especially because it is not possible to consciously visit the place of the dream again. One way to address this setting issue is through data acquisition, and here we propose means for getting a more accurate description of the dream space and of other important dream elements.