Multimodal human machine interaction for supporting older employees’ learning processes by age-appropriate dialog design

3 Pages Posted: 4 Apr 2022

See all articles by André Ullrich

André Ullrich

Weizenbaum Institute for the Networked Society

Malte Teichmann

University of Potsdam

Norbert Gronau

University of Potsdam

Date Written: April 3, 2022

Abstract

Context-sensitive human machine interaction is limited by the adaptability of respective machine interfaces and human individual dispositions and depends on the extent to which both can be aligned. Especially in context of technology-enhanced training, the individual learning process-supporting devices and their interfaces pose specific constraints to human learning processes. Learning processes may be enhanced by the combination of multi modal interfaces, e.g., provision of need-based visual support via augmented reality in addition to acoustic instructions. Results of this research are specified learning requirements of older employees and respective design guidelines for human machine interaction in learning factories.

Keywords: Age appropriate learning, human-machine interaction design, learning factory, multimodal interaction

Suggested Citation

Ullrich, André and Teichmann, Malte and Gronau, Norbert, Multimodal human machine interaction for supporting older employees’ learning processes by age-appropriate dialog design (April 3, 2022). 12th Conference on Learning Factories, Proceedings of the 12th Conference on Learning Factories (CLF 2022), Available at SSRN: https://ssrn.com/abstract=4073877

André Ullrich (Contact Author)

Weizenbaum Institute for the Networked Society ( email )

Hardenbergstr 32
Weizenbaum Institut
Berlin, Berlin 10623
Germany

Malte Teichmann

University of Potsdam ( email )

August-Bebel Strasse 89
Potsdam, 14482
Germany

Norbert Gronau

University of Potsdam ( email )

August-Bebel Strasse 89
Potsdam, 14482
Germany

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