Human-computer collaboration in adaptive supervisory control and function allocation of autonomous system teams

Robert S. Gutzwiller, Douglas S. Lange, John Reeder, Rob L. Morris, Olinda Rodas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

The foundation for a collaborative, man-machine system for adaptive performance of tasks in a multiple, heterogeneous unmanned system teaming environment is discussed. An autonomics system is proposed to monitor missions and overall system attributes, including those of the operator, autonomy, states of the world, and the mission. These variables are compared within a model of the global system, and strategies that re-allocate tasks can be executed based on a mission-health perspective (such as relieving an overloaded user by taking over incoming tasks). Operators still have control over the allocation via a task manager, which also provides a function allocation interface, and accomplishes an initial attempt at transparency. We plan to learn about configurations of function allocation from human-in-the-loop experiments, using machine learning and operator feedback. Integrating autonomics, machine learning, and operator feedback is expected to improve collaboration, transparency, and human-machine performance.

Original languageEnglish (US)
Title of host publicationVirtual, Augmented and Mixed Reality - 7th International Conference, VAMR 2015 Held as Part of HCI International 2015, Proceedings
EditorsRandall Shumaker, Stephanie Lackey
PublisherSpringer Verlag
Pages447-456
Number of pages10
ISBN (Print)9783319210667
DOIs
StatePublished - Jan 1 2015
Externally publishedYes
Event7th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States
Duration: Aug 2 2015Aug 7 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9179
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015
Country/TerritoryUnited States
CityLos Angeles
Period8/2/158/7/15

Keywords

  • Autonomics
  • Autonomous systems
  • Supervisory control
  • Task models

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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