Gaze-based Action Zones: A universal interaction modality for IoT devices

  • Michaela Murauer
  • , Florian Jungwirth
  • , Michael Haslgrübler-Huemer
  • , Alois Ferscha

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

Abstract

In order to employ gaze interaction with real-world appliances, techniques to trigger actions and manipulate object states are required. In this work we adapt two previously introduced ideas of one-stroke gaze gestures to gain a universal interaction modality usable for distributed IoT de- vices. We therefore investigate two different types of action zones, that are located (i) at the borders of an object or (ii) at the borders of the users’ field-of-view. Once an object is selected by using dwell time selection, action zones are activated and object state manipulation can be performed by gazing into such an area. A pilot user study was executed to compare the two different placements of action zones and while it highlights that both types lead to highly accurate and promising results, in specific settings one type may be preferable to the other.
Original languageEnglish
Title of host publicationWorkshop on Handling the Internet of Things: Human-Computer Interaction Perspectives on IoT (in conjunction with IoT '17)
Editors To appear
Number of pages7
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)
  • EyeControl: Eye-Controlled Machines

    Amrouche, S. (Researcher), Campos, Y. (Researcher), Elancheliyan, P. (Researcher), Gollan, B. (Researcher), Haslgrübler-Huemer, M. (Researcher), Jungwirth, F. (Researcher), Murauer, M. (Researcher), Timofeev, M. (Researcher), Wirth, C. (Researcher) & Ferscha, A. (PI)

    01.09.201628.02.2020

    Project: Funded researchFFG - Austrian Research Promotion Agency

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