Zusammenfassung
Recently, there has been an increasing interest in theories about human spatial memory and orientation (see, e.g., [1] for a recent review). There is, however, an apparent conflict between
many of those theories that yet needs to be resolved. Here, we outline a theoretical framework
that aims at integrating two current theories of spatial orientation: May [2] proposed
that the difficulty of imagined perspective switches is caused, at least in part, by an interference
between the sensorimotor and the to-be-imagined perspectives. Riecke von der Heyde
[3] developed a theoretical framework that is based on a network of logical propositions (i.e.,
necessary and sufficient conditions). They proposed that automatic spatial updating can only
occur if there is a consistency between the observer’s concurrent egocentric reference frames
(e.g., mediated by real world perception, virtual reality [VR], or imagined perspectives). We
propose that the underlying processes are the same, in the sense that a consistency between
egocentric representations [3] is equivalent to an absence of interference [2]. Whenever the
current egocentric representations of the immediate surroundings are consistent, there should
be no interference. According to [3], this state enables automatic spatial updating. We propose
that this lack of interference might also be able to explain other important phenomena, such as
the relative ease of adopting a new perspective after being disoriented. Conversely, interference
(inconsistency) between the primary, embodied egocentric representation and a to-be-imagined
(e.g., experimentally instructed) egocentric representation implies the difficulty of adopting a
new perspective. We posit that such interference or inconsistency also explains the difficulty
people have in ignoring bodily rotations. To avoid the vagueness that purely verbally defined
theories sometimes suffer from, we offer a well-defined graphical and structural representation
of our framework. Integrating logical and information flow representations in one coherent
framework not only provides a unified representation of previously seemingly isolated findings
and theories, but also fosters a deeper understanding of the underlying processes and enables
clear, testable predictions.
