The slalom illusion in the context of partially invisible trajectory

SORANZO, Alessandro, GHEORGHEOS, Tamara and REIDY, John (2014). The slalom illusion in the context of partially invisible trajectory. In: 37th European Conference on Visual Perception (ECVP 2014), Belgrade, Sebia, 24-28 August 2014. (Unpublished)

[img]
Preview
PDF
Soranzo_-_Abstract_slalom_presentation_2.pdf
All rights reserved.

Download (5kB) | Preview
Official URL: http://ecvp2014.org/default.asp

Abstract

The slalom illusion is the condition whereby the straight trajectory of a dot crossing a pattern of tilted lines is perceived as being sinusoidal (Cesaro and Agostini, 1998). The authors suggested that this illusion might be due to a local distortion of the moving dot when traversing each tilted line: When the dot approaches the lines, its trajectory is distorted toward the normalization, that is, the dot bends to enter the line perpendicularly (Swanson, 1984). Furthermore, there might be a perceptual tendency of the moving dot to continue along this virtual trajectory. However, as the physical trajectory of the dot is straight, the final perceived trajectory is a compromise between the virtual and the physical trajectory. In the present experiment, we test this hypothesis by manipulating the area between the tilted lines.The area between the lines was either a) the same colour as the dot, to make the dot trajectory partially invisible; or (b) empty, leaving the dot's full trajectory visible. Results show that the illusion magnitude increases when the dot trajectory is partially invisible, supporting the hypothesis that the illusion results from a compromise between the physical and the virtual trajectory.

Item Type: Conference or Workshop Item (Poster)
Research Institute, Centre or Group - Does NOT include content added after October 2018: Psychology Research Group
Depositing User: Alessandro Soranzo
Date Deposited: 06 Feb 2015 10:45
Last Modified: 18 Mar 2021 13:49
URI: https://shura.shu.ac.uk/id/eprint/9292

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics