Systematic approach to develop a flexible adaptive human-machine interface in socio-technological systems

Czerniak, Julia; Villani, Valeria; Sabattini, Lorenzo; Loch, Frieder; Vogel-Heuser, Birgit; Fantuzzi, Cesare; Brandl, Christopher; Mertens, Alexander

doi:10.1007/978-3-319-96068-5_31

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Title:: Systematic approach to develop a flexible adaptive human-machine interface in socio-technological systems
Document type:: Konferenzbeitrag
Author(s):: Czerniak, Julia; Villani, Valeria; Sabattini, Lorenzo; Loch, Frieder; Vogel-Heuser, Birgit; Fantuzzi, Cesare; Brandl, Christopher; Mertens, Alexander
Abstract:: Modern automatic machines in production have been becoming more and more complex within the recent years. Thus, human-machine interfaces (HMI) reflect multiple different functions. An approach to improve human-machine interaction can be realised by adjusting the HMI to the operators' requirements and comple-menting their individual skills and capabilities, supporting them in self-reliant machine operation. Based on ergonomic concepts of information processing, we present a systematic approach for developing an adaptive HMI after the MATE concept (Measure, Adapt & Teach). In a first step, we develop a taxonomy of human capabilities that have an impact on individual performance during infor-mational work tasks with machine HMI. We further evaluate three representative use cases by pairwise comparison regarding the classified attributes. Results show that cognitive information processes, such as different forms of attention and factual knowledge (crystalline intelligence) are most relevant on average. Moreover, perceptive capabilities that are restricted by task environment, e.g. several auditory attributes; as well as problem solving demand further support, according to the experts' estimation.
Book / Congress title:: 20th Congress International Ergonomics Association
Publisher address:: Florence, Italy
Year:: 2018
Pages:: 276--288
Fulltext / DOI:: doi:10.1007/978-3-319-96068-5_31
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mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Engineering and Design Departments Mechanical Engineering Lehrstuhl für Automatisierung und Informationssysteme (Prof. Vogel-Heuser)2018 Konferenz

mediaTUM Gesamtbestand Hochschulbibliographie 2018 Fakultäten Maschinenwesen Lehrstuhl für Automatisierung und Informationssysteme (Prof. Vogel-Heuser)