Jumping into a Pit in an HMD-based Stressful Virtual Environment

Posted by on Thursday, September 24, 2015 in Projects.

Demo

 

Project Overview

we investigate the factors that cause the distance compression in an HMD-based stressful virtual environment.  That environment is built in Maya with real image textured, and a real wood board has been made according to the exact same size in that environment. We mainly design similar two experiments with different aim. The first one is to find out the influence of self-representation in distance estimation, while the second one checks whether the existence of that wood board affects the result or not. Both experiments use the maximum-likelihood method to calculate next depth of pit by optimizing over psychometric functions and finally a threshold will be reached. The results show that self-representation does not count that much compared with the existence of wood board. And there may be some factors that lead to this inaccurate distance estimation.


Development Tools

Vizard, Python, Maya, HMD, etc.

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