Gazor: A gaze aware Industrial IoT-based Instructor

Michael Haslgrübler-Huemer, Michaela Murauer, Alois Ferscha

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

While the amount of applications being based on the Internet of Things is ever increasing, few consider proper – human cog- nition and attention aware – interaction between IoT and their users. In this paper, we demonstrate Gazor an IoT hardware and software platform which makes use of inherent human behavior to instruct a worker about an industrial assembly pro- cess, by providing an attention steering stimulus, where users need to pick up parts or place them, and a retention supporting peripheral display.
Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on the Internet of Things
Editors Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso
PublisherACM DL
Number of pages2
DOIs
Publication statusPublished - 2017

Fields of science

  • 102 Computer Sciences
  • 102009 Computer simulation
  • 102013 Human-computer interaction
  • 102019 Machine learning
  • 102021 Pervasive computing
  • 102022 Software development
  • 102025 Distributed systems

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Engineering and Natural Sciences (in general)

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