As observed above, the study of the simulation GUIis worthy. Nevertheless, the GUI tends to disappear for the evaluation in simulation research [12]. As a result, batch experiments are employed to obtain general conclusions of the emergency plan being tested.The framework has noted the necessity of: (1) including modules that formalize the concepts involved in the remaining modules by using semantic web technologies; (2) offering abstract models prior to the implementation without specific programming language constraints by employing the agent-based simulation paradigm; and, when implementing these models; (3) giving an open and highly modularized source code to enhance its reuse and extension in the context of a service-oriented architecture.

Rohrer (2014) presents a 3-dimensional framework for the systematic selection of UX research methods. Within this framework, several UX research methods are classified into three dimensions:Behavioral (what people do) vs. Attitudinal (what people say)Qualitative (why or how to fix) vs. Quantitative (how many and how much)Usage context (natural or near-natural use of the product, scripted use of the product, not using the product during the study, a hybrid of the others)

good approach in design and developmentnevertheless ongoing work, should be tracked further (own opinion, not stated in the paper)

The authors plan to integrate additional factors to better simulate the outcomes of evacuation-related decisions. Such as varying types of evacuation agents, including vehicles, bicycles and pedestrians.The authors will also study how psychological characteristics affect drivers’ behaviors, especially how such affects might be integrated into an agent’s decision model in which evacuation rates can be estimated with varying proportions of agents failing to follow an evacuation plan.

The level of abstraction is high. Not all influencing variables can be incorporated due to the variety of flood events. The model is not aimed to be applied during the response phase, but is aimed to enrich training programmes by application during the prevention phase. As crisis managers may not directly use the output data for real-world relief operations, it is important to minimise negative impacts by responding quickly and efficiently as well as by being well-prepared.

The emergency response model outcomes are still based on simulated outputs and would still need to be validated in a real-life environment. Proposing a new or revised emergency logistics response model is not sufficient.

Store actions of decision maker in a DSS (decision support system)tools to support group decision makingWhen dealing with human behaviors, particularly in a multi-echelon decision-making situation, standard single stage SVMs did not adequately capture behaviors within and across organizational settings

- the findings are based on one single fictional coffeemaker crisis, with only one type of crisis examined,- the study only examines the effects of crisis management during the crisis response phase- the participants included in this study cannot be considered as random- the effect sizes for different factors revealed in this study are fairly small

Although the use of simulation is beneficial in non-technical skills training25 , there is limited evidence for its role in assessment. Care should be taken with the scenario design, configuration of the simulation session and the assessment process.