Is Industrial Tomography Ready for Augmented Reality? A Need-Finding Study of How Augmented Reality Can Be Adopted by Industrial Tomography Experts
Paper i proceeding, 2023

Augmented Reality (AR) has grown into a well-established technique with a compelling potential for interactive visualization. In spite of its clear potential, this novel tool has not yet been widely embraced as an industrial solution. In this paper, we address AR for a specific domain: industrial tomography. Within this domain, we conducted a need-finding study featuring 14 surveyed participants, each with sufficient years of experience. A systematic survey study was designed as the main body of our approach. Using this survey, we collected answers helping us to establish findings and formulate novel insights. The study as a whole consisted of a pilot and a formal study for better robustness. Our findings uncovered the current status of AR being used in industrial tomography, and showed that the potential of AR in this domain was positively rated by the participants. Based on our findings, we present key challenges and propose potential for interdisciplinary synergies between AR and industrial tomography.

Industrial tomography

Interactivity

Need-finding

Augmented reality

Visualization

Författare

Yuchong Zhang

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Adam Nowak

Politechnika Lodzka

Guruprasad Rao

Politechnika Lodzka

A. Romanowski

Politechnika Lodzka

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. 14027 LNCS 523-535
9783031356339 (ISBN)

15th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
Copenhagen, Denmark,

Ämneskategorier

Programvaruteknik

Robotteknik och automation

Datavetenskap (datalogi)

DOI

10.1007/978-3-031-35634-6_37

Mer information

Senast uppdaterat

2023-09-29