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Logging and visualization of touch interactions on teach pendants

Published:23 September 2014Publication History

ABSTRACT

In industrial automation, there is a growing use of touch panels for controlling and programming machines. Compared to traditional panels with physical buttons, they provide higher flexibility and operating efficiency. A big challenge in the user interface design is their usability, which is directly related to the operator's safety and performance. In this paper, we present a software solution for the acquisition and visualization of user interaction data on teach pendants, which are handheld terminals for teaching robot positions. Interaction data include touch coordinates and navigation sequences, and they are visualized with a heatmap and a graph view, respectively. The design and implementation of the software is based on interviews which we conducted with companies from the automation industry. The painless integration of our software by manufacturers, together with the automated recording and visualisation of user interactions, allow for cost-efficient usability analysis of handheld terminals.

References

  1. Kiczales, G., Lamping, J., Mendhekar, A., Maeda, C., Lopes, C. V., Loingtier, J.-M., and Irwin, J. Aspect-oriented programming. In Proc. ECOOP 1997, Springer Verlag (1997), 220--242.Google ScholarGoogle ScholarCross RefCross Ref
  2. Lettner, F., and Holzmann, C. Automated and unsupervised user interaction logging as basis for usability evaluation of mobile applications. In Proc. MoMM 2012, ACM Press (2012), 118--127. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Mayring, P. Qualitative content analysis. Forum: Qualitative Social Research 1, 2 (2000).Google ScholarGoogle Scholar
  4. Shen, Z., Wei, J., Ma, K.-L., and Sundaresan, N. Visual cluster exploration of web clickstream data. In Proc. VAST 2012, IEEE CS (2012), 3--12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Ting, I.-H., Kimble, C., and Kudenko, D. UBB mining: Finding unexpected browsing behaviour in clickstream data to improve a web site's design. In Proc. WI 2005, IEEE CS (2005), 179--185. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Logging and visualization of touch interactions on teach pendants

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    • Published in

      cover image ACM Conferences
      MobileHCI '14: Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services
      September 2014
      664 pages
      ISBN:9781450330046
      DOI:10.1145/2628363

      Copyright © 2014 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: 23 September 2014

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      • research-article

      Acceptance Rates

      MobileHCI '14 Paper Acceptance Rate35of124submissions,28%Overall Acceptance Rate202of906submissions,22%

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