Systematic Approach to Develop a Flexible Adaptive Human-Machine Interface in Socio-Technological Systems

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

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

Systematic Approach to Develop a Flexible Adaptive Human-Machine Interface in Socio-Technological Systems

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

Chair of Automation and Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

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 complementing 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 informational 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.

Original language	English
Title of host publication	Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VIII
Subtitle of host publication	Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining
Editors	Sebastiano Bagnara, Yushi Fujita, Riccardo Tartaglia, Sara Albolino, Thomas Alexander
Publisher	Springer Verlag
Pages	276-288
Number of pages	13
ISBN (Print)	9783319960678
DOIs	https://doi.org/10.1007/978-3-319-96068-5_31
State	Published - 2019
Event	20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italy Duration: 26 Aug 2018 → 30 Aug 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	825
ISSN (Print)	2194-5357

Conference

Conference	20th Congress of the International Ergonomics Association, IEA 2018
Country/Territory	Italy
City	Florence
Period	26/08/18 → 30/08/18

Keywords

Adaptive HMI
Human abilities
Human-machine interaction
MATE concept
Performance
Taxonomy

Access to Document

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

Cite this

Czerniak, J. N., Villani, V., Sabattini, L., Loch, F., Vogel-Heuser, B., Fantuzzi, C., Brandl, C., & Mertens, A. (2019). Systematic Approach to Develop a Flexible Adaptive Human-Machine Interface in Socio-Technological Systems. In S. Bagnara, Y. Fujita, R. Tartaglia, S. Albolino, & T. Alexander (Eds.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining (pp. 276-288). (Advances in Intelligent Systems and Computing; Vol. 825). Springer Verlag. https://doi.org/10.1007/978-3-319-96068-5_31

Czerniak, Julia N. ; Villani, Valeria ; Sabattini, Lorenzo et al. / Systematic Approach to Develop a Flexible Adaptive Human-Machine Interface in Socio-Technological Systems. Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining. editor / Sebastiano Bagnara ; Yushi Fujita ; Riccardo Tartaglia ; Sara Albolino ; Thomas Alexander. Springer Verlag, 2019. pp. 276-288 (Advances in Intelligent Systems and Computing).

@inproceedings{6ec4f13852fc4e81a16764465fbf2231,

title = "Systematic Approach to Develop a Flexible Adaptive Human-Machine Interface in Socio-Technological Systems",

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{\textquoteright} requirements and complementing 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 informational 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{\textquoteright} estimation.",

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author = "Czerniak, {Julia N.} and Valeria Villani and Lorenzo Sabattini and Frieder Loch and Birgit Vogel-Heuser and Cesare Fantuzzi and Christopher Brandl and Alexander Mertens",

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year = "2019",

doi = "10.1007/978-3-319-96068-5_31",

language = "English",

isbn = "9783319960678",

series = "Advances in Intelligent Systems and Computing",

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pages = "276--288",

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Czerniak, JN, Villani, V, Sabattini, L, Loch, F, Vogel-Heuser, B, Fantuzzi, C, Brandl, C & Mertens, A 2019, Systematic Approach to Develop a Flexible Adaptive Human-Machine Interface in Socio-Technological Systems. in S Bagnara, Y Fujita, R Tartaglia, S Albolino & T Alexander (eds), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining. Advances in Intelligent Systems and Computing, vol. 825, Springer Verlag, pp. 276-288, 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26/08/18. https://doi.org/10.1007/978-3-319-96068-5_31

Systematic Approach to Develop a Flexible Adaptive Human-Machine Interface in Socio-Technological Systems. / Czerniak, Julia N.; Villani, Valeria; Sabattini, Lorenzo et al.
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining. ed. / Sebastiano Bagnara; Yushi Fujita; Riccardo Tartaglia; Sara Albolino; Thomas Alexander. Springer Verlag, 2019. p. 276-288 (Advances in Intelligent Systems and Computing; Vol. 825).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Villani, Valeria

AU - Sabattini, Lorenzo

AU - Loch, Frieder

AU - Vogel-Heuser, Birgit

AU - Fantuzzi, Cesare

AU - Brandl, Christopher

AU - Mertens, Alexander

PY - 2019

Y1 - 2019

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AB - 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 complementing 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 informational 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.

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Czerniak JN, Villani V, Sabattini L, Loch F, Vogel-Heuser B, Fantuzzi C et al. Systematic Approach to Develop a Flexible Adaptive Human-Machine Interface in Socio-Technological Systems. In Bagnara S, Fujita Y, Tartaglia R, Albolino S, Alexander T, editors, Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining. Springer Verlag. 2019. p. 276-288. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-96068-5_31

Systematic Approach to Develop a Flexible Adaptive Human-Machine Interface in Socio-Technological Systems

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Keywords

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