Document Detail


Opportunistic tangible user interfaces for augmented reality.
MedLine Citation:
PMID:  19910657     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Opportunistic Controls are a class of user interaction techniques that we have developed for augmented reality (AR) applications to support gesturing on, and receiving feedback from, otherwise unused affordances already present in the domain environment. By leveraging characteristics of these affordances to provide passive haptics that ease gesture input, Opportunistic Controls simplify gesture recognition, and provide tangible feedback to the user. In this approach, 3D widgets are tightly coupled with affordances to provide visual feedback and hints about the functionality of the control. For example, a set of buttons can be mapped to existing tactile features on domain objects. We describe examples of Opportunistic Controls that we have designed and implemented using optical marker tracking, combined with appearance-based gesture recognition. We present the results of two user studies. In the first, participants performed a simulated maintenance inspection of an aircraft engine using a set of virtual buttons implemented both as Opportunistic Controls and using simpler passive haptics. Opportunistic Controls allowed participants to complete their tasks significantly faster and were preferred over the baseline technique. In the second, participants proposed and demonstrated user interfaces incorporating Opportunistic Controls for two domains, allowing us to gain additional insights into how user interfaces featuring Opportunistic Controls might be designed.
Authors:
Steven Henderson; Steven Feiner
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IEEE transactions on visualization and computer graphics     Volume:  16     ISSN:  1077-2626     ISO Abbreviation:  IEEE Trans Vis Comput Graph     Publication Date:    2010 Jan-Feb
Date Detail:
Created Date:  2009-11-13     Completed Date:  2010-03-23     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9891704     Medline TA:  IEEE Trans Vis Comput Graph     Country:  United States    
Other Details:
Languages:  eng     Pagination:  4-16     Citation Subset:  IM    
Affiliation:
Department of Computer Science, Columbia University, New York, NY 10027-7002, USA. henderso@cs.columbia.edu
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MeSH Terms
Descriptor/Qualifier:
Computer Graphics*
Humans
Imaging, Three-Dimensional / instrumentation*,  methods*
Information Storage and Retrieval / methods*
Models, Theoretical*
Touch*
User-Computer Interface*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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