Mobile Computing, Applications, and Services. 4th International Conference, MobiCASE 2012, Seattle, WA, USA, October 11-12, 2012. Revised Selected Papers

Research Article

Multimodal Mobile Collaboration Prototype Used in a Find, Fix, and Tag Scenario

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  • @INPROCEEDINGS{10.1007/978-3-642-36632-1_7,
        author={Gregory Burnett and Thomas Wischgoll and Victor Finomore and Andres Calvo},
        title={Multimodal Mobile Collaboration Prototype Used in a Find, Fix, and Tag Scenario},
        proceedings={Mobile Computing, Applications, and Services. 4th International Conference, MobiCASE 2012, Seattle, WA, USA, October 11-12, 2012. Revised Selected Papers},
        proceedings_a={MOBICASE},
        year={2013},
        month={2},
        keywords={Multimodal interfaces mobile computing remote collaboration},
        doi={10.1007/978-3-642-36632-1_7}
    }
    
  • Gregory Burnett
    Thomas Wischgoll
    Victor Finomore
    Andres Calvo
    Year: 2013
    Multimodal Mobile Collaboration Prototype Used in a Find, Fix, and Tag Scenario
    MOBICASE
    Springer
    DOI: 10.1007/978-3-642-36632-1_7
Gregory Burnett1,*, Thomas Wischgoll2,*, Victor Finomore1,*, Andres Calvo3,*
  • 1: WPAFB
  • 2: Wright State University
  • 3: Ball Aersopace
*Contact email: gregory.burnett@wpafb.af.mil, thomas.wishgoll@wright.edu, victor.finomore@wpafb.af.mil, andres.calvo.ctr@wpafb.af.mil

Abstract

Given recent technological advancements in mobile devices, military research initiatives are investigating these devices as a means to support multimodal cooperative interactions. Military components are executing dynamic combat and humanitarian missions while dismounted and on the move. Paramount to their success is timely and effective information sharing and mission planning to enact more effective actions. In this paper, we describe a prototype multimodal collaborative Android application. The mobile application was designed to support real-time battlefield perspective, acquisition, and dissemination of information among distributed operators. The prototype application was demonstrated in a scenario where teammates utilize different features of the software to collaboratively identify and deploy a virtual tracker-type device on hostile entities. Results showed significant improvements in completion times when users visually shared their perspectives versus relying on verbal descriptors. Additionally, the use of shared video significantly reduced the required utterances to complete the task.