Assistive Systems for the Workplace: Towards Context-Aware Assistance

Assistive Systems for the Workplace: Towards Context-Aware Assistance

Oliver Korn (University of Stuttgart, Germany), Markus Funk (University of Stuttgart, Germany) and Albrecht Schmidt (University of Stuttgart, Germany)
Copyright: © 2015 |Pages: 15
DOI: 10.4018/978-1-4666-7373-1.ch006
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Recent advances in motion recognition allow the development of Context-Aware Assistive Systems (CAAS) for industrial workplaces that go far beyond the state of the art: they can capture a user's movement in real-time and provide adequate feedback. Thus, CAAS can address important questions, like Which part is assembled next? Where do I fasten it? Did an error occur? Did I process the part in time? These new CAAS can also make use of projectors to display the feedback within the corresponding area on the workspace (in-situ). Furthermore, the real-time analysis of work processes allows the implementation of motivating elements (gamification) into the repetitive work routines that are common in manual production. In this chapter, the authors first describe the relevant backgrounds from industry, computer science, and psychology. They then briefly introduce a precedent implementation of CAAS and its inherent problems. The authors then provide a generic model of CAAS and finally present a revised and improved implementation.
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CAAS combine elements from different contexts and disciplines:

  • Projection and motion recognition clearly are means to realize implicit interaction with computers and thus belong to the computer science.

  • Assembly tables belong to the domain of production where computerization follows different rules.

  • The integration of motivating elements (gamification) combines psychology with computer science.

Each of these contexts is briefly introduced to illustrate in which aspects the CAAS approach differs from existing solutions and traditions. Also the target users (elderly and impaired persons) are described in this sub-chapter.

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