No abstract

Due to their effective capability to fix the attention of control room operators to such conditions that require some kind of response, alarm visualizations have become key control artifacts in Human Supervisory Control environments. Nevertheless, the increasing complexity and interconnectivity of controlled processes highlights the necessity of new control artifacts that support both identification and diagnosis tasks. In this line of work, this paper posits the need of redesigning alarm visualizations in order to assist not only the real-time detection of failures but also the achievement of Situation Awareness by control room operators. Based on dynamic interaction and exploration capabilities, this new design perspective for alarm visualizations may improve the operator's ability to diagnose the causes of abnormal situations.

Abstract. The development of Rich Internet Applications (RIAs) is based on the selection, assembly, and tailoring of Rich-User-Interface (RUI) components. While the user interface design is usually guided by principles, guidelines, and heuristics, there are not mechanisms for systematically selecting RUI components. Moreover, there is a lack of homogeneous classification criteria that hinders the selection of components and increases the relevance of experience designing web applications. To ease the search and the choosing of components by web-developers, this paper presents a taxonomy for classifying RUI components. The development of such a taxonomy has been based on both the study of relevant resources from the UI domain and the opinions of experts.