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  4. Gaze Based Interaction for Object Classification in Reconnaissance Missions Using Highly Automated Platforms
 
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2021
Conference Paper
Title

Gaze Based Interaction for Object Classification in Reconnaissance Missions Using Highly Automated Platforms

Abstract
A gaze based interface was used as the basis for a interaction system supporting a remote operator of a ground reconnaissance robot when classifying objects previously identified by a software. Using the gaze point as a cursor, a pre-selection of the object in the sightline is made, allowing the user to effect the symbol via a haptic interface. An extension of the system enables the user to manually re-adjust the pre-selection if highlights are overlapping. The results from a first exploration were encouraging; the system was easily understood and used but does require further testing with scenarios that are more complex.
Author(s)
Wasser, Joscha  
Bloch, Marten
Bielecki, Konrad  
Vorst, Daria  
Lopez, Daniel
Baltzer, Marcel  
Flemisch, Frank
Mainwork
Intelligent Human Systems Integration 2021. 4th International Conference on Intelligent Human Systems Integration, IHSI 2021. Proceedings  
Conference
International Conference on Intelligent Human Systems Integration (IHSI) 2021  
DOI
10.1007/978-3-030-68017-6_124
Language
English
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
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