Mobile Data Visualisation Interface Design for Industrial Automation and Control: A User-Centred Usability Study

With the increasing integration of mobile technologies into manufacturing automation environments, the effective visualisation of data on small-screen devices has emerged as an important consideration. This study investigates the usability and readability of common visualisation types (bar charts, line charts, and tables) on mobile devices, comparing different interface designs and interaction methods. Using a within-subject experimental design with 11 participants, we evaluated two primary approaches for handling large visualisations on mobile screens: segmented (cutting) displays versus continuous (dragging) displays. Results indicate that segmented displays generally improve task completion time and reduce mental workload for bar charts and tables. In contrast, line charts exhibit more complex patterns that depend on the size of the data. These findings provide practical guidelines for designing responsive data visualisations optimised for mobile interfaces.

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Publication Details

Journal
Applied Sciences
Published
2025-10-09
DOI
https://doi.org/10.3390/app151910832
Citations
1
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
1.28
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article

Mobile Data Visualisation Interface Design for Industrial Automation and Control: A User-Centred Usability Study

Chiuhsiang Joe Lin, Chih-Feng Cheng, I‐Hsuan Liu
1 citations
Applied Sciences
Data Visualization and Analytics
1.28
article

Mobile Data Visualisation Interface Design for Industrial Automation and Control: A User-Centred Usability Study

Chiuhsiang Joe Lin, Chih-Feng Cheng, I‐Hsuan Liu
article en
1 citations

Abstract

With the increasing integration of mobile technologies into manufacturing automation environments, the effective visualisation of data on small-screen devices has emerged as an important consideration. This study investigates the usability and readability of common visualisation types (bar charts, line charts, and tables) on mobile devices, comparing different interface designs and interaction methods. Using a within-subject experimental design with 11 participants, we evaluated two primary approaches for handling large visualisations on mobile screens: segmented (cutting) displays versus continuous (dragging) displays. Results indicate that segmented displays generally improve task completion time and reduce mental workload for bar charts and tables. In contrast, line charts exhibit more complex patterns that depend on the size of the data. These findings provide practical guidelines for designing responsive data visualisations optimised for mobile interfaces.

Applied SciencesVol. 15(19)
Asia University (TW), National Taiwan University of Science and Technology (TW)
Openalex Percentile: Top 15%
Data Visualization and Analytics
1.28
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Mobile Data Visualisation Interface Design for Industrial Automation and Control: A User-Centred Usability Study — Chiuhsiang Joe Lin, Chih-Feng Cheng, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS