TY - GEN
T1 - A generalized user interface concept to enable retrospective system analysis in monitoring systems
AU - Herdel, Viviane
AU - Wortelen, Bertram
AU - Lanezki, Mathias
AU - Lüdtke, Andreas
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Many technical work environments nowadays face the situation that large technical systems are controlled by semi-autonomous software systems that process a huge amount of information. Human operators are still required to monitor the system, but only at sporadic time points to assure that the system is healthy or to analyze any fault conditions that have occurred since the last observation. However, a problem with such a monitoring situation is that the operator is often out-of-the loop when observing the system (after a long time of not observing it). The objective is to develop a graphical user interface concept that supports operators in developing valid situation awareness of the system and furthermore provides an easy to use functionality for efficient retrospective system analysis. We discuss requirements for retrospective system analysis and present a concept for a user interface (UI) that efficiently supports the operator in getting back in the loop and developing a valid situation awareness of the current system state. It furthermore supports the operator in recognizing the global system health state, identifying and localizing current and past fault conditions and easily tracing how the system and especially error states have evolved over time. The UI concept is applied to a software application for controlling and monitoring hybrid energy systems. However, we argue, that the UI concept is applicable for a wide range of applications.
AB - Many technical work environments nowadays face the situation that large technical systems are controlled by semi-autonomous software systems that process a huge amount of information. Human operators are still required to monitor the system, but only at sporadic time points to assure that the system is healthy or to analyze any fault conditions that have occurred since the last observation. However, a problem with such a monitoring situation is that the operator is often out-of-the loop when observing the system (after a long time of not observing it). The objective is to develop a graphical user interface concept that supports operators in developing valid situation awareness of the system and furthermore provides an easy to use functionality for efficient retrospective system analysis. We discuss requirements for retrospective system analysis and present a concept for a user interface (UI) that efficiently supports the operator in getting back in the loop and developing a valid situation awareness of the current system state. It furthermore supports the operator in recognizing the global system health state, identifying and localizing current and past fault conditions and easily tracing how the system and especially error states have evolved over time. The UI concept is applied to a software application for controlling and monitoring hybrid energy systems. However, we argue, that the UI concept is applicable for a wide range of applications.
KW - Human-machine interaction design
KW - Hybrid energy systems
KW - Monitoring systems
KW - Retrospective system analysis
KW - Visualization concepts
UR - http://www.scopus.com/inward/record.url?scp=85088741677&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-50020-7_3
DO - 10.1007/978-3-030-50020-7_3
M3 - Conference contribution
AN - SCOPUS:85088741677
SN - 9783030500191
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 39
EP - 57
BT - Human Interface and the Management of Information. Designing Information - Thematic Area, HIMI 2020, Held as Part of the 22nd International Conference, HCII 2020, Proceedings
A2 - Yamamoto, Sakae
A2 - Mori, Hirohiko
PB - Springer
T2 - Thematic Area on Human Interface and the Management of Information, HIMI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -