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Future ICT based manufacturing systems aim at a radical individualization of products (Lot-size 1) under the condition of highly flexible mass production environments. A key challenge towards such systems is the confluent collaborative cooperation between man and machines. This project aims at attention-aware self-adaptive machines pacing the interaction with human workers based on observed user attention and task performance, and up-to-the minute adaption of the level of assistive support provided to human workers during the manufacturing process. A reference implementation of attentive machines based on (i) formal models of human attention, (iii) multisensory recognition architectures and (iii) embedded subtle assistive support mechanisms will be empirically evaluated with two cases of Austrian manufacturing excellence.

Consortium: JKU Linz: Institut für Pervasive Computing (Konsortialführer), Aumayr GmbH, Research Studios Austria Forschungsgesellschaft mbH, Fischer Sports GmbH

Funding: FFG, IKT der Zukunft - 3. Ausschreibung (2014), Projekt 849976

Duration: 2015 - 2018

Getting Through - Modality Selection in a Multi-Sensor-Actuator Industrial IoT Environment
Proceedings of the 7th International Conference on the Internet of Things, ACM, 8 pages, DOI: 10.1145/3131542.3131561, October 2017.
Gazor: A gaze aware Industrial IoT-based Instructor
Proceedings of the 7th International Conference on the Internet of Things, ACM, 2 pages, DOI: 10.1145/3131542.3140266, October 2017.
Demonstrator for Extracting Cognitive Load from Pupil Dilation for Attention Management Services
Workshop on UbiTtention: Smart & Ambient Notification and Attention Management (in conjunction with UbiComp 2016), Editors: A. Voit, B. Poppinga, D. Weber , M. Böhmer, N. Henze, S. Gehring, T. Okoshi, hcilab.org, Keplerstrasse 7, DE-70174 Stuttgart, September 2016.