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Towards Effective Industrial Robot Fleet Visualization for Remote Service Applications
ABB Corporate Research, Väasterås, Sweden.
ABB Corporate Research, Väasterås, Sweden.
2017 (English)In: 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) / [ed] Sumitra M. Reddy, Wojciech Cellary, and Mariagrazia Fugini, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 185-190Conference paper, Published paper (Refereed)
Abstract [en]

In recent years, advances in sensors, Internet and communication technologies opened many promising opportunities for remote services of industrial robots. With remote service applications, potential problems in robot systems can be detected before they happen, and prevented pro-actively avoiding costly production shut-downs. However, to be able to effectively perform remote service operations, remote support engineers need to analyse vast amounts of information. For a remote support engineer to be able to manage such amount of data, effective data visualization is crucial. Based on field studies and collected needs of support engineers working with industrial robots, we have designed and developed a prototype, i.e. one possible solution of an effective industrial fleet visualization, applied on the overheated robots use case. The initial validation of the prototype showed the benefits of such visual data presentation, as well as future directions.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 185-190
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-152708DOI: 10.1109/WETICE.2017.40ISBN: 9781538617595 (electronic)ISBN: 9781538617601 (print)OAI: oai:DiVA.org:liu-152708DiVA, id: diva2:1263581
Conference
The 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 21-23 June 2017, Poznan, Poland
Available from: 2018-11-15 Created: 2018-11-15 Last updated: 2020-05-10Bibliographically approved
In thesis
1. Designing visualization and interaction for industrial control rooms of the future
Open this publication in new window or tab >>Designing visualization and interaction for industrial control rooms of the future
2020 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

During the last decades, the industry has been undergoing extensive digitization leading to complex ensembles of humans, machines, autonomous agents, and sensors. With this new setup comes the challenge of how to appropriately support work-practices of industrial operators who now need to monitor and control complex industrial processes through remote interfaces. Information overflow and restrictive interfaces are two significant problems that operators face in their daily routines. In this PhD, I explore approaches to visualization and interaction that would reduce industrial operators' information load and enable them to perform their duties in an efficient, reliable, and safe manner. Industrial users and industrial settings are the starting points of my research.

In this thesis, I describe multiple examples of custom-tailored data visualizations that reduce the operator's visual load by consolidating large amounts of data into compact overview displays with often nontrivial data presentation. With respect to interaction, I propose several tangible and tactile interfaces, as well as concepts for natural interaction, that let the user freely interact with the control station and the information it depicts. Finally, I propose several concepts of adaptive systems that adjust to the operator's context to ensure their high situational awareness and convenience of interaction.

Even though this thesis is primarily intended for the community of interaction designers, I expect it to be of interest to a broader audience due to its relation to the user experience field. To a certain extent, everyone can resonate with the user's problems because, in our everyday life, we all are users of some technology and services. Furthermore, for a lay reader, this work can be seen as a comprehensive introduction to how the industry works and what role the human plays there.

Abstract [sv]

Under de senaste årtiondena har industrin digitaliserats i stor utsträckning och består nu av komplexa strukturer där människor, maskiner, autonoma agenter och sensorer samspelar. Människor arbetar ofta som operatörer i industrin, med uppgift att övervaka och styra maskinella processer på distans från kontrollrum. Den omfattande digitaliseringen medför nya utmaningar för operatörerna i och med att mängden tillgänglig information växer samtidigt som kontrollrummens användargränssnitt är otillräckliga för de ändrade förutsättningarna. I den här avhandlingen utforskar jag nya former av visualisering och interaktion som skulle kunna hjälpa operatörerna hantera de växande informationsmängderna och sköta sitt arbete på ett effektivt, tillförlitligt och säkert sätt.

Jag presenterar flera exempel på skräddarsydda datavisualiseringar som minskar belastningen på operatörerna genom att kombinera stora mängder data i kompakta, icke-triviala presentationsformer. När det gäller interaktion föreslår jag flera fysiska och taktila interaktionsformer som kan göra operatörernas arbete mera fritt och självstyrt. Jag presenterar slutligen koncept för adaptiva system som anpassar sig till operatörernas arbetssituation för att skapa smidig interaktion och stödja hög situationsmedvetenhet.

Avhandlingen vänder sig i första hand till interaktionsdesignområdet, men jag räknar med att den kan vara av intresse för en bredare publik i och med att den behandlar användarupplevelse. Vi använder alla tekniska produkter och tjänster i någon utsträckning och bör därför kunna relatera till industrioperatörernas utmaningar. Mitt arbete ger också en inblick i hur människans arbetssituation ser ut i dagens industri.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2020. p. 150
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 2077
Keywords
Industrial control room, Industrial operator, Human-computer interaction
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-165625 (URN)10.3384/diss.diva-165625 (DOI)9789179298357 (ISBN)
Public defence
2020-08-21, Online through Zoom (contact gun-britt.lofgren@liu.se) or K3, Kåkenhus, Campus Norrköping, Norrköping, 09:30 (English)
Opponent
Supervisors
Available from: 2020-05-15 Created: 2020-05-10 Last updated: 2020-05-25Bibliographically approved

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Towards Effective Industrial Robot Fleet Visualization for Remote Service Applications(366 kB)49 downloads
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Domova, Veronika

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