Playing with Data: An Augmented Reality Approach to Interact with Visualizations of Industrial Process Tomography
Paper i proceeding, 2023

Industrial process tomography (IPT) is a specialized imaging technique widely used in industrial scenarios for process supervision and control. Today, augmented/mixed reality (AR/MR) is increasingly being adopted in many industrial occasions, even though there is still an obvious gap when it comes to IPT. To bridge this gap, we propose the first systematic AR approach using optical see-through (OST) head mounted displays (HMDs) with comparative evaluation for domain users towards IPT visualization analysis. The proof-of-concept was demonstrated by a within-subject user study (n=20) with counterbalancing design. Both qualitative and quantitative measurements were investigated. The results showed that our AR approach outperformed conventional settings for IPT data visualization analysis in bringing higher understandability, reduced task completion time, lower error rates for domain tasks, increased usability with enhanced user experience, and a better recommendation level. We summarize the findings and suggest future research directions for benefiting IPT users with AR/MR.

User Study

Industrial Process Tomography

Augmented Reality

Optical See-through Head Mounted Display

Författare

Yuchong Zhang

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Yueming Xuan

Student vid Chalmers

Rahul Yadav

Itä-Suomen Yliopisto

Adel Omrani

Karlsruher Institut für Technologie (KIT)

Morten Fjeld

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Universitetet i Bergen

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 14143 LNCS 123-144
9783031422829 (ISBN)

19th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2023
York, United Kingdom,

Ämneskategorier

Interaktionsteknik

Människa-datorinteraktion (interaktionsdesign)

Datavetenskap (datalogi)

DOI

10.1007/978-3-031-42283-6_7

Mer information

Senast uppdaterat

2023-10-13