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Approach to Increase Worker Acceptance of Cognitive Assistance Systems in Manual Assembly

  • Published:2019 Issue: Volume:81 Page:926-931
  • ISSN:2212-8271
  • Container-title:Procedia CIRP
  • language:en
  • Short-container-title:Procedia CIRP

Author:

Sochor Robin,Kraus Lorenz,Merkel Lukas,Braunreuther Stefan,Reinhart Gunther

Publisher

Elsevier BV

Subject

General Medicine

Reference17 articles.

1. Struktur zur Repräsentation von Montagesequenzen für die situationsorientierte Werkerführung;Wiesbeck,2014

2. Kurtz. Assistenzsysteme für manuelle Industrieprozesse;Bächler,2014

3. The Cognitive Factory;Zäh,2009

4. Atug J, Hees A, Wagner M, Braunreuther S, Reinhart G. Production Planning for Customer Innovated Products; 2016. p. 931-933.

5. Merkel L, Berger C, Schultz C, Braunreuther S, Reinhart G. Application-Specific Design of Assistance Systems for Manual Work in Production; 2017. p. 1189.

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1. Impact of Industrial Noise on Speech Interaction Performance and User Acceptance when Using the MS HoloLens 2;Multimodal Technologies and Interaction;2024-01-27

2. Adaptive Information Fusion Using Evidence Theory and Uncertainty Quantification;IEEE Access;2024

3. Self-Supervised Optimization of Hand Pose Estimation Using Anatomical Features and Iterative Learning;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

4. Recognising Worker Intentions by Assembly Step Prediction;2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA);2023-09-12

5. Development and Integration of a Workpiece-Based Calibration Method for an Optical Assistance System;Applied Sciences;2023-06-21
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