de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Impressum Kontakt Einloggen
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Poster

The influence of non-visual signals of walking on the perceived speed of optic flow

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83888

Distler,  HK
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

Externe Ressourcen
Es sind keine Externen Ressourcen verfügbar
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Thurrell, A., Pelah, A., & Distler, H. (1998). The influence of non-visual signals of walking on the perceived speed of optic flow. Poster presented at 21st European Conference on Visual Perception, Oxford, UK.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-E82B-5
Zusammenfassung
We considered how non-visual signals that accompany walking might influence the visual processing of optic flow. During natural locomotion optic-flow speed is determined by walking speed in a closed-loop manner. In the experiments subjects were required to adjust the speed of an optic-flow pattern to match that of a reference flow pattern in an open-loop manner. The visual speed was matched while walking by turning a hand-held knob that controlled the presented optic-flow speed. Subjects were also required to change their pace according to a written instruction at the beginning of each trial to either 'very slow', 'slow', 'normal', 'fast', or 'very fast'. A non-motorised, self-driven treadmill simulated natural walking by allowing subjects to walk at their chosen pace. The optic-flow pattern consisted of bright rectangles expanding against a dark background displayed on a large rear-projected screen. An experimental block consisted of a 15 s presentation of a reference pattern followed by 5 test trials, one at each pace randomly ordered and matched. Results showed a consistent increase of optic-flow speed with increasing walking speeds. However, speed settings were most accurate when subjects were walking at their chosen 'normal' walking pace. We conclude that the perceived speed of optic-flow information is influenced by non-visual signals (eg proprioception) such that optic-flow speed is overestimated at lower walking speeds while underestimated at higher speeds.