@inproceedings{Neumann20201,
	series = {{ACM} {International} {Conference} {Proceeding} {Series}},
	title = {{AVIKOM}: {Towards} a mobile audiovisual cognitive assistance system for modern manufacturing and logistics},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088367709&doi=10.1145%2f3389189.3389191&partnerID=40&md5=5cb410c36be01f88305b275691b5d3bf},
	doi = {10.1145/3389189.3389191},
	abstract = {This paper introduces the novel Augmented Reality (AR) assistance system AVIKOM, a joint endeavour of three research groups together with four small and medium-sized enterprises (SME) as well as network partners and a diaconal institution. In particular, we investigate how AR-enabled assistance systems can be tailored to individual requirements of workers with diverse cognitive and physical capabilities for today's real-world industrial applications in the areas of (manual) assembly, logistics and operation of industrial machinery. We combine best practices from the domains of artificial intelligence, machine learning, user experience engineering, ethics research, and cognitive science with state-of-the-art insights for multi-modal system development to create a cognitive action assistance system that recognizes and adapts to individual users in various situational contexts, such as picking and training. Proven work and organizational psychology methods and worth-related evaluations will accompany the system introduction into working environments. Using user- and worth-centred system design and change management strategies (e.g. information and participation) right from the beginning of such a technological development facilitates proper involvement of future users in the development process. This can lead to better congruence of technology features with workers' requirements and positively shape future users' attitudes towards the system. © 2020 ACM.},
	author = {Neumann, A. and Strenge, B. and Uhlich, J.C. and Schlicher, K.D. and Maier, G.W. and Schalkwijk, L. and Waßmuth, J. and Essig, K. and Schack, T.},
	year = {2020},
	note = {tex.art\_number: 3389191
tex.author\_keywords: assistive systems; augmented reality (AR); eye tracking; individualized feedback; scene and action understanding
tex.document\_type: Conference Paper
tex.source: Scopus},
	keywords = {\#nosource},
	pages = {1--8},
}

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In particular, we investigate how AR-enabled assistance systems can be tailored to individual requirements of workers with diverse cognitive and physical capabilities for today's real-world industrial applications in the areas of (manual) assembly, logistics and operation of industrial machinery. We combine best practices from the domains of artificial intelligence, machine learning, user experience engineering, ethics research, and cognitive science with state-of-the-art insights for multi-modal system development to create a cognitive action assistance system that recognizes and adapts to individual users in various situational contexts, such as picking and training. Proven work and organizational psychology methods and worth-related evaluations will accompany the system introduction into working environments. Using user- and worth-centred system design and change management strategies (e.g. information and participation) right from the beginning of such a technological development facilitates proper involvement of future users in the development process. This can lead to better congruence of technology features with workers' requirements and positively shape future users' attitudes towards the system. © 2020 ACM.","author":[{"propositions":[],"lastnames":["Neumann"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["Strenge"],"firstnames":["B."],"suffixes":[]},{"propositions":[],"lastnames":["Uhlich"],"firstnames":["J.C."],"suffixes":[]},{"propositions":[],"lastnames":["Schlicher"],"firstnames":["K.D."],"suffixes":[]},{"propositions":[],"lastnames":["Maier"],"firstnames":["G.W."],"suffixes":[]},{"propositions":[],"lastnames":["Schalkwijk"],"firstnames":["L."],"suffixes":[]},{"propositions":[],"lastnames":["Waßmuth"],"firstnames":["J."],"suffixes":[]},{"propositions":[],"lastnames":["Essig"],"firstnames":["K."],"suffixes":[]},{"propositions":[],"lastnames":["Schack"],"firstnames":["T."],"suffixes":[]}],"year":"2020","note":"tex.art_number: 3389191 tex.author_keywords: assistive systems; augmented reality (AR); eye tracking; individualized feedback; scene and action understanding tex.document_type: Conference Paper tex.source: Scopus","keywords":"#nosource","pages":"1–8","bibtex":"@inproceedings{Neumann20201,\n\tseries = {{ACM} {International} {Conference} {Proceeding} {Series}},\n\ttitle = {{AVIKOM}: {Towards} a mobile audiovisual cognitive assistance system for modern manufacturing and logistics},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088367709&doi=10.1145%2f3389189.3389191&partnerID=40&md5=5cb410c36be01f88305b275691b5d3bf},\n\tdoi = {10.1145/3389189.3389191},\n\tabstract = {This paper introduces the novel Augmented Reality (AR) assistance system AVIKOM, a joint endeavour of three research groups together with four small and medium-sized enterprises (SME) as well as network partners and a diaconal institution. 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