Data Visualizations for the Internet of Things Operational Dashboard
Abstract
The paper deals with the issue of visualization of data collected through sensors in the Internet of Things system through research of user perception of a smart building dashboard. The Internet of Things (IoT) system consists of four components - sensors, connectivity, data processing, and a user interface. The data collected in the Internet of Things system as such do not have much value for the user. When processed meaningfully and displayed correctly, they are a powerful tool for user action. The research aims to investigate the possibilities of data visualization through the design of the Building Management System (BMS) dashboard and to investigate the user understanding of such visualizations. The study explores the user experience of the diagrams design in the context of combining a smart system with the regulation and control of energy consumption. The final proposals for the dashboard visual format and conclusions related to user’s preferences were formed according to the results of the research.
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WCAG 2.1 specifies that images and charts should have meaningful alternative text so that users of assistive technologies can perceive the content.
“The Web Content Accessibility Guidelines (WCAG) 2.1 [21] specify that images and charts should have meaningful alternative text so that users of assistive technologies can perceive the content.”
From Accessible IoT Dashboard Design with AI-Enhanced Descriptions for Visually Impaired Users (2025) · cites this paper as [21]
Cites
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More about the basic assumptions of t-test: normality and sample size
Kim, T. K., & Park, J. H. (2019) · Korean Journal of Anesthesiology · doi:10.4097/kja.d.18.00292 · Cited by 208 · cited 1× · see citing works
“Since one of the conditions required to conduct the t-test is the normal distribution of data [14], the data was tested for normality of distribution of individual variables by the Kolmogorov-Smirnov test and was found that the distribution was normal.”
MethodDesigning Connected Products: UX for the Consumer Internet of Things
Rowland, C., Goodman, E., Charlier, M., et al. (2015) · CERN Document Server (European Organization for Nuclear Research) · Cited by 125 · see citing works
(2013) · Elsevier eBooks · doi:10.1016/c2009-0-62432-6 · Cited by 22 · see citing works
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Accessible IoT Dashboard Design with AI-Enhanced Descriptions for Visually Impaired Users
Stelea, G. A., Sangeorzan, L., & Enache-David, N. (2025) · Future Internet · doi:10.3390/fi17070274 · Cited by 5 · see citing works
- Authors
- Svalina, A., Pibernik, J., Dolić, J., & Mandić, L.
- Affiliations
- University of Zagreb (HR)
- Venue
- 2021 International Symposium ELMAR
- Publisher
- IEEE
- Published
- 2021-09-13
- Pages
- 91-96
- ISSN
- 1334-2630 (ISSN-L)
- OpenAlex
- W3202232607
- Cited by
- 4
- References
- 5
- Citations by year
- 2026: 1 · 2025: 2 · 2022: 1
- FWCI
- 0.08
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Symposium ELMAR (ELMAR) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- Internet of Things, data visualization, operational dashboard, smart buildings, building management systems, user perception, user experience, sensor data, energy management, dashboard design, user preferences
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