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Evaluation of Attention Guiding Techniques for Augmented Reality-based Assistance in Picking and Assembly Tasks

Published:07 March 2017Publication History

ABSTRACT

Intelligent personal assistance systems for manual tasks may support users on multiple levels. A general function is guiding the visual attention of the user towards the item relevant for the next action. This is a challenging task, as the user may be in arbitrary positions and orientations relative to the target. Optical see-through head-mounted-displays (HMDs) present an additional challenge, as the target may be already visible for the user but lie outside the field-of-view of the augmented reality (AR) display. In the context of a smart glasses-based assistance system for a manual assembly station, we evaluated five different visual attention guidance techniques for optical see-through devices. We found that combined directional and positional in-situ guidance performs best overall, but that performance depends on target location. The study is our first realization of a simulated AR methodology in which we create a repeatable and highly-controlled experimental design using a virtual reality (VR) HMD setup.

References

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    • Published in

      cover image ACM Conferences
      IUI '17 Companion: Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces
      March 2017
      246 pages
      ISBN:9781450348935
      DOI:10.1145/3030024

      Copyright © 2017 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 March 2017

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      Acceptance Rates

      IUI '17 Companion Paper Acceptance Rate63of272submissions,23%Overall Acceptance Rate746of2,811submissions,27%

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