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Project Goal: climate-friendly neighbourhood
Current Stage: in progress
Communicating knowledge about energy transition is a challenge of sustainable development. Serious games are a possible approach to explain complex relationships and present them to citizens. This paper discusses the development process of the serious board game “Changing the Game—Neighbourhood”. Therefore, this paper describes our approach of developing a serious game with co-designers in four phases and illustrates the process using an example. Doing so, the paper focus on two central challenges: (1) How can a serious game be developed for the energy transition, which keeps a balance between learning and playability? (2) How can co-design contribute to the development of a serious game? We found out that the use of prototypes and the influence of different stakeholders as informants, co-designers, and testers were crucial for the expansion of the learning content, the improvement of the gameplay, and the balancing of the difficulty level. In addition, the energy transition at the neighborhood level appeared to be a suitable topic for a serious game. During the development process, the serious game was already used for citizen participation, involving about 120 participants in 15 workshops.
Mathias Lanezki; Catharina Siemer; Steffen Wehkamp. “Changing the Game–Neighbourhood”: An Energy Transition Board Game, Developed in a Co-Design Process: A Case Study. Sustainability 2020, 12, 10509 .
AMA StyleMathias Lanezki, Catharina Siemer, Steffen Wehkamp. “Changing the Game–Neighbourhood”: An Energy Transition Board Game, Developed in a Co-Design Process: A Case Study. Sustainability. 2020; 12 (24):10509.
Chicago/Turabian StyleMathias Lanezki; Catharina Siemer; Steffen Wehkamp. 2020. "“Changing the Game–Neighbourhood”: An Energy Transition Board Game, Developed in a Co-Design Process: A Case Study." Sustainability 12, no. 24: 10509.
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.
Viviane Herdel; Bertram Wortelen; Mathias Lanezki; Andreas Lüdtke. A Generalized User Interface Concept to Enable Retrospective System Analysis in Monitoring Systems. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 39 -57.
AMA StyleViviane Herdel, Bertram Wortelen, Mathias Lanezki, Andreas Lüdtke. A Generalized User Interface Concept to Enable Retrospective System Analysis in Monitoring Systems. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; ():39-57.
Chicago/Turabian StyleViviane Herdel; Bertram Wortelen; Mathias Lanezki; Andreas Lüdtke. 2020. "A Generalized User Interface Concept to Enable Retrospective System Analysis in Monitoring Systems." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 39-57.
Today’s easy access to data, low cost sensors and data transmission infrastructure leads to an abundance of data about complex systems in many domains like industrial process control, network intrusion detection or maritime surveillance. Analyzing this data can take a lot of effort and often cannot be fully automated. As it is hard to fully automate such analysis tasks, we present an HMI framework that supports an analyst in exploring and navigating through multiple time series of data. It is a semi-automatic approach that uses algorithms for automatically labelling low-level events in the data, but leaves the task of evaluation and interpretation to the human operator. These events are highlighted on specific time bars in the HMI framework. It enables the analyst to 1) summarize the main features of the data series, 2) filter it depending on the analysis objective, 3) identify and prioritize relevant section in the data and 4) directly jump to these sections. We present the theoretical concept of the HMI framework and demonstrate it on a process control application for hybrid energy systems.
Bertram Wortelen; Viviane Herdel; Oliver Pfeiffer; Marie-Christin Harre; Marcel Saager; Mathias Lanezki. Efficient Exploration of Long Data Series: A Data Event-driven HMI Concept. Communications in Computer and Information Science 2020, 495 -503.
AMA StyleBertram Wortelen, Viviane Herdel, Oliver Pfeiffer, Marie-Christin Harre, Marcel Saager, Mathias Lanezki. Efficient Exploration of Long Data Series: A Data Event-driven HMI Concept. Communications in Computer and Information Science. 2020; ():495-503.
Chicago/Turabian StyleBertram Wortelen; Viviane Herdel; Oliver Pfeiffer; Marie-Christin Harre; Marcel Saager; Mathias Lanezki. 2020. "Efficient Exploration of Long Data Series: A Data Event-driven HMI Concept." Communications in Computer and Information Science , no. : 495-503.