Human Interfaces in Micro and Small Unmanned Aerial Systems

  • Joshua M. Peschel
  • Robin R. Murphy
Reference work entry


This chapter surveys the various aspects of user interfaces for a Mission Specialist role on micro and small unmanned aerial system (UAS) human-robot teams. An operational characterization of micro and small unmanned aerial vehicles (UAVs) that are presently in use is first categorized into two size groups. Following this, three formal human team member roles are presented that trend from the micro and small UAS-related literature, Flight Operations Director, Pilot and Navigator, and the Mission Specialist, in order to identify distinct team member role differences. For each category of UAV, the Mission Specialist role is evaluated to determine (1) what type of user interface technologies are present and/or available, (2) how the Mission Specialist currently or could interact with the user interface technology, and (3) what the perceived consequences of this user interface technology are in the context of the three identified micro and small UAS human-robot team roles. The findings of this survey suggest that current Mission Specialist performance in micro and small UAS may be suboptimal due to the sharing of a single Pilot and Navigator-oriented user interface or a reuse of the Pilot and Navigator user interface.


Unmanned Aerial System Mission Specialist Unmanned System Onboard Camera Human Team 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This material is based upon the work supported by the National Science Foundation under Grant No. IIS-1143713, EAGER: Shared Visual Common Ground in Human-Robot Interaction for Small Unmanned Aerial Systems.


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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Human-Infrastructure Interaction Lab, Department of Civil and Environmental EngineeringUniversity of Illinois at Urbana-ChampaignUrbanaUSA
  2. 2.Center for Robot-Assisted Search and Rescue, Department of Computer Science and EngineeringTexas A&M UniversityCollege StationUSA

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