Date of Original Version

4-2002

Type

Conference Proceeding

Rights Management

http://doi.acm.org/10.1145/503376.503396

Abstract or Table of Contents

When creating techniques for manipulating objects at a distance in immersive virtual environments, researchers have primarily focused on increasing selection range, placement range, and placement accuracy. This focus has led researchers to create and formally study a series of “arm extension” techniques, which dynamically scale the user’s arm to allow him to manipulate distant objects. Researchers have also developed representation-based techniques, which allow users to manipulate a distant object by manipulating a copy of it in a handheld representation. However, researchers have not yet formally established the relative value of these techniques. In this paper we present a formal study comparing Voodoo Dolls, a best-practice representation based technique, with HOMER, a best-practice arm extension technique. We found that the Voodoo Dolls technique, which provides better feedback by allowing users to view a manipulated object both up close and at a distance, allowed users to both position and orient objects more accurately. Our results suggest that researchers should focus on improving feedback for 3D manipulation techniques.

Comments

Copyright © 2002 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org. © ACM, 2002. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in the Proceedings of the SIGCHI conference on Human factors in computing systems: Changing our world, changing ourselves {1-58113-453-3 (2002)} http://doi.acm.org/10.1145/503376.503396

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