IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Assistive Systems for the Workplace: Towards Context-Aware Assistance

Assistive Systems for the Workplace: Towards Context-Aware Assistance
View Sample PDF
Author(s): Oliver Korn (University of Stuttgart, Germany), Markus Funk (University of Stuttgart, Germany) and Albrecht Schmidt (University of Stuttgart, Germany)
Copyright: 2015
Pages: 15
Source title: Assistive Technologies for Physical and Cognitive Disabilities
Source Author(s)/Editor(s): Lau Bee Theng (Swinburne University of Technology, Malaysia)
DOI: 10.4018/978-1-4666-7373-1.ch006

Purchase

View Assistive Systems for the Workplace: Towards Context-Aware Assistance on the publisher's website for pricing and purchasing information.

Abstract

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.

Related Content

Leila Goosen. © 2022. 24 pages.
Rishika Tiwari, Manish Shandilya, Sonika Charak. © 2022. 23 pages.
Denise Gulino. © 2022. 23 pages.
Manon Maitland Schladen, Yiannis Koumpouros, Elena America Choong, Justine Lee Belschner. © 2022. 26 pages.
Laura Roche, Jeff Sigafoos. © 2022. 16 pages.
Fabrizio Stasolla, Donatella Ciarmoli. © 2022. 17 pages.
Donatella Ciarmoli. © 2022. 16 pages.
Body Bottom