ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Interactive Sensor Dashboard for Smart Manufacturing

Arjun, S and Murthy, LRD and Biswas, P (2021) Interactive Sensor Dashboard for Smart Manufacturing. In: 3rd International Conference on Industry 4.0 and Smart Manufacturing, ISM 2021, 21 November 2021, pp. 49-61.

ISM_2021.pdf - Published Version

Download (1MB) | Preview
Official URL: https://doi.org/10.1016/j.procs.2022.01.204


This paper presents a smart sensor dashboard for a digital twin of a smart manufacturing workshop. We described the development of the digital twin followed by three user studies on the visualization and interaction aspects of the smart sensor dashboard. The first two user studies evaluated ocular parameters and users' response for different 2D and 3D graphs rendered on 2D screen and VR headset. The bar chart found to generate most accurate users' response in both 2D and 3D case. The third study recreated the Fitts' Law task in 3D and compared visual and haptic feedback. We found that haptic feedback significantly improved quantitative metrics of interaction than a no-feedback case, whereas multimodal feedback is significantly improved qualitative metrics of the interaction. Results from the study can be utilized to design VR environments with interactive graphs. © 2022 The Authors. Published by Elsevier B.V.

Item Type: Conference Proceedings
Publication: Procedia Computer Science
Publisher: Elsevier B.V.
Additional Information: The copyright for this article belongs to authors.
Keywords: Eye tracking; Feedback; Information systems; Manufacture; Virtual reality, 3d graphs; Bar chart; Eye-tracking; Fitts's law; Haptic feedbacks; Information visualization; Interaction; Sensor netwrok; Smart manufacturing; User study, Visualization
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 18 May 2022 06:40
Last Modified: 18 May 2022 06:40
URI: https://eprints.iisc.ac.in/id/eprint/71822

Actions (login required)

View Item View Item