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Task Boundary Inference via Topic Modeling to Predict Interruption Timings for Human-Machine Teaming

  • Nia S. PetersEmail author
  • George C. Bradley
  • Tina Marshall-Bradley
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 903)

Abstract

Human-machine teaming aims to meld human cognitive strengths with the unique capabilities of smart machines. An issue within human-machine teaming is a lack of communication skills on the part of the machine such as the inability to know when to interrupt human teammates. A proposed solution to this issue is an intelligent interruption system that monitors the spoken communication of human teammates and predicts appropriate times to interrupt without disrupting the teaming interaction. The current research expands on a prosody-only task boundary model as an intelligent interruption system with a topic-only task boundary model. The topic-only task boundary model outperforms the prosody-only model with a 9.5% increase in the F1 score, but is limited in its ability to process topical data in real-time, a previous benefit of the prosody-only task boundary model.

Keywords

Human machine teaming Intelligent interruption systems Topic modeling Collaborative communication 

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Copyright information

© This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2019

Authors and Affiliations

  • Nia S. Peters
    • 1
  • George C. Bradley
    • 2
  • Tina Marshall-Bradley
    • 2
  1. 1.Air Force Research Laboratory711th Human Performance Wing, Battlespace Acoustic BranchWright-Patterson AFBUSA
  2. 2.Walden UniversityMinneapolisUSA

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