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Prediction is an important cognitive activity in any decision-making process. For dynamic process control tasks, this activity is crucial, but studying it in a real-life environment is difficult. This article describes how a computerized simulation was used to study prediction in a complex environment. Using the simulation, the effects of many factors on the accuracy of prediction we re successfully measured. These factors are mainly the nature of the task, the method of presentation of the information, the number of repetitions of a specific task, and the length of the time taken for prediction. Three different tasks and four distinct interfaces were used in the simulation. Prediction was found to be significantly affected by all of the factors except the number of repetitions. Surprisingly, no learning effect was observed throughout the accomplishment of the various tasks., KEYWORDS: computerized simulation; dynamic process control; information presentation; prediction; work complex environments. The control of processes in dynamic environments has been the subject of many studies and has been found [...]

Simulation technology provides powerful tools for analysis of information system (IS) designs, but it is a fact that the purpose of such technology is to enhance the quality of decisions made by human beings. On-line help and knowledge-based support, graphics, and Visual Interactive Simulation (VIS) and animation are particularly promising technologies to enhance the effectiveness of simulation from a human factors perspective. Based on literature review and two studies undertaken by the authors, the role of these technologies in simulation-based decision making is considered The authors find that there are opportunities to improve the decision support role if simulation technology in IS with enhanced user interface technology but that there are further issues to address. Although there are many practical difficulties in experimental assessment of human factors in IS simulation, such research is essential in determining the relevance of simulation technology to decision support., KEYWORDS: animation; decision support, graphics; human-computer interaction, knowledge-based help; simulation environments; simulation of information systems. Few major decisions about information system (IS) design and implementation are made in a completely [...]

The author modified the Business Management Laboratory (BML) business game simulation to update a data base in dBASE III Plus and Lotus 1-2-3 spreadsheet formats. Computer graphics compressed the volume of data for analysis and displayed the primary decision-making data relationships. Student assignments included a competitive analysis (28 graphs) and a firm analysis (18 graphs). A graphics-data base interface imported Lotus 1-2-3 spreadsheet data directly into Harvard Graphics chart files. Each graph was displayed on a color monitor. Experience using color graphics interfaced with a business game simulation was discussed.

The editor introduces the topic of systems-dynamics-based learning environments. The editor also welcomes the American branch of the Society for Intercultural Education, Training, and Research (SIETAR) as a supporter of the periodical.

The usage of a management simulation in Chinese universities is discussed. By participating in a classroom simulation program, the students reacted positively to the new system.

This article deals with the problems of changing the culture and values of persons involved in organizational or technological changes. The results of two learning experiments in 'experimentaria' are discussed. It is concluded that the experimentarium seems to create a higher level of self-respect and respect for other person's skills and knowledge as well as a suitable environment for organizational learning. A higher level of feeling secure can be the result that will add to a better working environment. KEYWORDS: change process; experimentarium; experiential learning; organizational change; reflection; simulation/gaming; technological change; working environment., Technological changes that involve aspects of the working environment require the involvement of actors--for example, consultants, system designers, managers, and employees--in all phases of the process with regard to technical [...]