research-article

Designing usable interfaces for the Industry 4.0

Authors:

Marianna Di Gregorio,

Giancarlo Nota,

Monica Sebillo,

Giuliana VitielloAuthors Info & Claims

AVI '20: Proceedings of the 2020 International Conference on Advanced Visual Interfaces

Article No.: 16, Pages 1 - 9

https://doi.org/10.1145/3399715.3399861

Published: 02 October 2020 Publication History

Abstract

In Industry 4.0, Human Machine Interfaces are largely used in order to increase the performances of production processes at the same time reducing the number of emergencies and accidents. In manufacturing, the most typical system used to monitor the production is the Andon. It is a graphical system exploited in plants to notify operators who deal with management, maintenance and production performance of the presence of a problem. Of course, the usability of such interfaces is essential to allow an operator to identify and react more effectively to potentially critical situations. Improving the usability of such interfaces is a big challenge due to the increasing complexity of the data that must be processed and understood quickly by operators. In this paper, we present a set of guidelines to help professional developers to design usable interfaces for monitoring industrial production in manufacturing. Such guidelines are based on usability principles and formalized by reviewing existing industrial interfaces. Using a realistic case study prepared with manufacturing experts, we propose an Andon interface that we developed to test the efficacy of these guidelines on a last generation touch-wall device.

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Cited By

Nota GPetraglia G(2024)Heritage buildings management: the role of situational awareness and cyber-physical systemsJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-023-04750-215:4(2227-2239)Online publication date: 1-Feb-2024
https://doi.org/10.1007/s12652-023-04750-2
Avolicino SDi Gregorio MPalomba FRomano MSebillo MVitiello G(2022)AI-Based Emotion Recognition to Study Users’ Perception of Dark PatternsHCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction10.1007/978-3-031-17615-9_13(185-203)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-17615-9_13
Davanzo GPiardi LJunior JLeitao PPellegri U(2021)Digitization of Gauge Inspection Control Procedure2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)10.1109/ISIE45552.2021.9576198(1-6)Online publication date: 20-Jun-2021
https://doi.org/10.1109/ISIE45552.2021.9576198

Index Terms

Designing usable interfaces for the Industry 4.0
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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AVI '20: Proceedings of the 2020 International Conference on Advanced Visual Interfaces

September 2020

613 pages

ISBN:9781450375351

DOI:10.1145/3399715

Copyright © 2020 ACM.

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Published: 02 October 2020

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AVI '20

AVI '20: International Conference on Advanced Visual Interfaces

September 28 - October 2, 2020

Salerno, Italy

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AVI '20 Paper Acceptance Rate 36 of 123 submissions, 29%;

Overall Acceptance Rate 128 of 490 submissions, 26%

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Cited By

Nota GPetraglia G(2024)Heritage buildings management: the role of situational awareness and cyber-physical systemsJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-023-04750-215:4(2227-2239)Online publication date: 1-Feb-2024
https://doi.org/10.1007/s12652-023-04750-2
Avolicino SDi Gregorio MPalomba FRomano MSebillo MVitiello G(2022)AI-Based Emotion Recognition to Study Users’ Perception of Dark PatternsHCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction10.1007/978-3-031-17615-9_13(185-203)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-17615-9_13
Davanzo GPiardi LJunior JLeitao PPellegri U(2021)Digitization of Gauge Inspection Control Procedure2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)10.1109/ISIE45552.2021.9576198(1-6)Online publication date: 20-Jun-2021
https://doi.org/10.1109/ISIE45552.2021.9576198

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