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We present a change-blindness based redirected walking algorithm that allowsa user to explore on foot a virtual indoor environment consisting of aninfinite number of rooms while at the same time ensuring collision-free walkingfor the user in real space. This method uses change blindness to scale andtranslate the room without the user's awareness by moving the wall while theuser is not looking. Consequently, the virtual room containing the current useralways exists in the valid real space. We measured the detection threshold forwhether the user recognizes the movement of the wall outside the field of view.Then, we used the measured detection threshold to determine the amount ofchanging the dimension of the room by moving that wall. We conducted alive-user experiment to navigate the same virtual environment using theproposed method and other existing methods. As a result, users reported higherusability, presence, and immersion when using the proposed method while showingreduced motion sickness compared to other methods. Hence, our approach can beused to implement applications to allow users to explore an infinitely largevirtual indoor environment such as virtual museum and virtual model house whilesimultaneously walking in a small real space, giving users a more realisticexperience.

Redirected Walking in Infinite Virtual Indoor Environment Using Change-blindness