Crisis Map Design Considering Map Cognition

Crisis maps play a significant role in emergency responses. Users are challenged to interpret a map rapidly in emergencies, with limited visual information-processing resources and under time pressure. Therefore, cartographic techniques are required to facilitate their map cognition. In this study, we analyzed the exogenous and endogenous disruptions that users needed to overcome when they were reading maps. The analysis results suggested that cartographers’ taking the stressors into consideration could promote the cognitive fit between cartographers and users, improving map cognition and spatial information supply–demand matching. This paper also elaborates the course of map visual information processing and related graphic variables to visual attention attributes. To improve the users’ map cognition in time-critical emergency situations, crisis map design principles and a methodology were proposed. We developed three fire emergency rescue road maps and performed two evaluations to verify the effectiveness of the principles. Our experiments showed that the principles could effectively facilitate the users’ rapid map perception and proper understanding, by reducing their cognitive load, and could improve the quality of the crisis maps to some extent.

Description of a Novel Model and Method of Assessment of Visual Information Processing Skills

Visual Information Processing Skills are necessary to obtain meaning from visual input. We propose an update to existing models which allows more clinical utility to practices involved in the treatment of these skills.

Modernization of the Visual Information Processing and Display System for Effective Control and Management of a Training Process Under an Extended Information Traffic.

The paper considers the modernization of the visual information processing and display system to improve the efficiency of visual control over the crews’ activities during training on the ISS RS Simulation Complex thanks to pro-cessing the extended range of the training process data and additional tools to provide an interactive display control.

ENSEMBLE-BASED INSTANCE RELEVANCE ESTIMATION IN MULTIPLE-INSTANCE LEARNING

The Contribution to the 9th European Workshop on Visual Information Processing. The work is focuses on instance relevance estimation process in domain of multiple instance learning. <br>

ENSEMBLE-BASED INSTANCE RELEVANCE ESTIMATION IN MULTIPLE-INSTANCE LEARNING

The Contribution to the 9th European Workshop on Visual Information Processing. The work is focuses on instance relevance estimation process in domain of multiple instance learning. <br>