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  Identifying Cognitive Assistance with Mobile Electroencephalography: A Case Study with In-Situ Projections for Manual Assembly

Kosch, A., Funk, M., Schmidt, A., & Chuang, L. (2018). Identifying Cognitive Assistance with Mobile Electroencephalography: A Case Study with In-Situ Projections for Manual Assembly. New York, NY, USA: ACM Press.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-9320-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-9329-B
Genre: Conference Paper

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Locator:
https://dl.acm.org/citation.cfm?id=3229093 (Publisher version)
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 Creators:
Kosch, A, Author
Funk, M, Author
Schmidt, A, Author
Chuang, LL1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Manual assembly at production is a mentally demanding task. With rapid prototyping and smaller production lot sizes, this results in frequent changes of assembly instructions that have to be memorized by workers. Assistive systems compensate this increase in mental workload by providing "just-in-time" assembly instructions through in-situ projections. The implementation of such systems and their benefits to reducing mental workload have previously been justified with self-perceived ratings. However, there is no evidence by objective measures if mental workload is reduced by in-situ assistance. In our work, we showcase electroencephalography (EEG) as a complementary evaluation tool to assess cognitive workload placed by two different assistive systems in an assembly task, namely paper instructions and in-situ projections. We identified the individual EEG bandwidth that varied with changes in working memory load. We show, that changes in the EEG bandwidth are found between paper instructions and in-situ projections, indicating that they reduce working memory compared to paper instructions. Our work contributes by demonstrating how design claims of cognitive demand can be validated. Moreover, it directly evaluates the use of assistive systems for delivering context-aware information. We analyze the characteristics of EEG as real-time assessment for cognitive workload to provide insights regarding the mental demand placed by assistive systems.

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 Dates: 2018-06
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1145/3229093
 Degree: -

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Title: 10th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2018)
Place of Event: Paris, France
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Source 1

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Title: PACMHCI Proceedings of the ACM on Human-Computer Interaction
Source Genre: Series
 Creator(s):
Lampe, C, Editor
Nichols, J, Editor
Karahalios, K, Editor
Fitzpatrick, G, Editor
Lee, U, Editor
Monroy-Hernandez, A, Author
Stuerzlinger, W, Editor
Affiliations:
-
Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: 2 Sequence Number: 11 Start / End Page: 1 - 20 Identifier: ISSN: 2573-0142