Jump to : Download | Abstract | Contact | BibTex reference | EndNote reference |

J6

F. Soyka, P. Robuffo Giordano, K. Beykirch, H. H. Bülthoff. Predicting Direction Detection Thresholds for Arbitrary Translational Acceleration Profiles in the Horizontal Plane. Experimental Brain Research, 209(1):95-107, March 2011.

Download [help]

Download paper: Doi page

Download paper: Adobe portable document (pdf) pdf

Copyright notice:

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. This page is automatically generated by bib2html v217, © Inria 2002-2015, Projet Lagadic/Rainbow

Abstract

In previous research, direction detection thresholds have been measured and successfully modeled by exposing participants to sinusoidal acceleration profiles of different durations. In this paper, we present measurements that reveal differences in thresholds depending not only on the duration of the profile, but also on the actual time course of the acceleration. The measurements are further explained by a model based on a transfer function, which is able to predict direction detection thresholds for all types of acceleration profiles. In order to quantify a participant’s ability to detect the direction of motion in the horizontal plane, a four-alternative forced-choice task was implemented. Three types of acceleration profiles (sinusoidal, trapezoidal and triangular) were tested for three different durations (1.5, 2.36 and 5.86 s). To the best of our knowledge, this is the first study which varies both quantities (profile and duration) in a systematic way within a single experiment. The lowest thresholds were found for trapezoidal profiles and the highest for triangular profiles. Simulations for frequencies lower than the ones actually measured predict a change from this behavior: Sinusoidal profiles are predicted to yield the highest thresholds at low frequencies. This qualitative prediction is only possible with a model that is able to predict thresholds for different types of acceleration profiles. Our modeling approach represents an important advancement, because it allows for a more general and accurate description of perceptual thresholds for simple and complex translational motions

BibTex Reference

@article{J6,
   Author = {Soyka, F. and Robuffo Giordano, P. and Beykirch, K. and H. Bülthoff, H.},
   Title = {{Predicting Direction Detection Thresholds for Arbitrary Translational Acceleration Profiles in the Horizontal Plane}},
   Journal = {Experimental Brain Research},
   Volume = {    209},
   Number = {1},
   Pages = {95--107},
   Month = {March},
   Year = {2011}
}

EndNote Reference [help]

Get EndNote Reference (.ref)