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Proceedings Paper

Design and evaluation of multimedia security warnings for the interaction between humans and industrial robots
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Paper Abstract

In this document a multi-media security warning design approach for automated production scenarios with industrial robots is introduced. This first approach is based on and adapts design principles of common security programs and a German VDI standard for safety warnings design. We focus on direct human-to-robot interaction scenarios, e.g. the online-programming of industrial robots, because of their potential indirect safety impacts, which could be caused by malicious codes infection of a robots control computer. We designed ten different multi-media security warnings, composed of visual and acoustical information. Visual information of warnings is transported via a traffic light metaphor (symbolizing three different threat levels), different warn icons (symbolizing properties of malicious codes) and instructions icons to programmers or operators and additional textual information. With an acknowledgment button in the middle of the warning, the programmer's confirmation of the reception of the warning is verified. Additionally, three different acoustical signals also indicate the threat level of the warning. Furthermore, an evaluation is presented, which uses concepts known from usability testing (method of loud thinking, questionnaire, time measurement). The aim is to evaluate general design criteria of our developed security warnings and tendency of user perception for further advancement of our warnings design.

Paper Details

Date Published: 24 January 2011
PDF: 15 pages
Proc. SPIE 7878, Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, 78780K (24 January 2011); doi: 10.1117/12.872846
Show Author Affiliations
Jana Fruth, Otto-von-Guericke Univ. Magdeburg (Germany)
Christian Kraetzer, Otto-von-Guericke Univ. Magdeburg (Germany)
Jana Dittmann, Otto-von-Guericke Univ. Magdeburg (Germany)

Published in SPIE Proceedings Vol. 7878:
Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques
Juha Röning; David P. Casasent; Ernest L. Hall, Editor(s)

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