Re-Introducing Physical User Interfaces into Industrial Control Rooms

Domova, Veronika; Ralph, Maria; Vartiainen, Elina; Muñoz, Alvaro Aranda; Henriksson, Adam; Timsjö, Susanne

doi:10.1145/3121283.3121295

Cited by 5 publications

(2 citation statements)

References 20 publications

(14 reference statements)

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“…For example, Fountx commercial solution comprises bone-conducting headphones to remain alert to the surroundings (fountx.com 2018). Another study (Domova et al 2017) presents a prototype haptic mouse to explore the re-introduction of physical user interfaces into industrial control rooms. An extended view of this challenge is how to give more access to subtle cues with MDS.…”

Section: Mds Should Not Hinder Implicit Learning About Machine Behaviormentioning

confidence: 99%

Collaborating AI and human experts in the maintenance domain

Illankoon

Tretten

2020

AI & Soc

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Maintenance decision errors can result in very costly problems. The 4th industrial revolution has given new opportunities for the development of and use of intelligent decision support systems. With these technological advancements, key concerns focus on gaining a better understanding of the linkage between the technicians’ knowledge and the intelligent decision support systems. The research reported in this study has two primary objectives. (1) To propose a theoretical model that links technicians’ knowledge and intelligent decision support systems, and (2) to present a use case how to apply the theoretical model. The foundation of the new model builds upon two main streams of study in the decision support literature: “distribution” of knowledge among different agents, and “collaboration” of knowledge for reaching a shared goal. This study resulted in the identification of two main gaps: firstly, there must be a greater focus upon the technicians’ knowledge; secondly, technicians need assistance to maintain their focus on the big picture. We used the cognitive fit theory, and the theory of distributed situation awareness to propose the new theoretical model called “distributed collaborative awareness model.” The model considers both explicit and implicit knowledge and accommodates the dynamic challenges involved in operational level maintenance. As an application of this model, we identify and recommend some technological developments required in augmented reality based maintenance decision support.

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Section: Mds Should Not Hinder Implicit Learning About Machine Behaviormentioning

confidence: 99%

Collaborating AI and human experts in the maintenance domain

Illankoon

Tretten

2020

AI & Soc

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“…. ]" • Domova et al (2017) conducted contextual interviews with two to three operators per control room at an undisclosed number of industrial facilities, providing an apt description of the operator's daily work: "According to the operators, a typical work shift consists of monitoring control processes they are responsible for, attending to alarms which indicate problems, diagnosing and troubleshooting the encountered problems. "…”

Section: Usability and User Experience Of Control Rooms Systemsmentioning

confidence: 99%

Ensuring usability of future smart energy control room systems

Mentler¹,

Rasim²,

Müßiggang³

et al. 2018

Energy Inform

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Energy providers face several technical and societal challenges with respect to renewable energies and smart energy systems. As central management units of energy supply systems, control rooms and their operators are especially affected by those changes. While reliability and safety of software systems for managing electric power grids is of utmost importance, their usability has to be ensured as well in order to allow for safe and efficient operations. Previous work has failed to address issues of work reengineering and user interface design for future smart energy control rooms due to insufficient collaboration of human-computer interaction researchers, energy informatics researchers and energy sector stakeholders. This paper describes challenges and approaches for ensuring usability of future smart energy control room systems. It is based on a human-centered design process within an interdisciplinary research project bringing together the aforementioned groups of experts. Results were derived from systematic literature review, workshops and surveys with control room operators as well as contextual inquiries in three control rooms. They concern both the process of realising software systems for managing electric power grids and applications characteristics with respect to user interface design. It is concluded that open and modular software systems require consistent user interfaces based on a style guide. Furthermore, software and usability engineering processes of energy control systems have to be aligned in order to ensure usability, safety and security.

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