Eye movement recordings and their analysis constitute an effective way to examine visual perception. There is a special need for the design of computer software for the performance of data analysis. The present study describes the development of a new toolbox, called EyeMMV (Eye Movements Metrics & Visualizations), for post experimental eye movement analysis. The detection of fixation events is performed with the use of an introduced algorithm based on a two-step spatial dispersion threshold. Furthermore, EyeMMV is designed to support all well-known eye tracking metrics and visualization techniques. The results of fixation identification algorithm are compared with those of an algorithm of dispersion-type with a moving window, imported in another open source analysis tool. The comparison produces outputs that are strongly correlated. The EyeMMV software is developed using the scripting language of MATLAB and the source code is distributed through GitHub under the third version of GNU General Public License (link: https://github.com/krasvas/EyeMMV).

Physical maps with hypsometric tints, political maps with a monochromatic background, large-scale maps for younger students, and small-scale maps for older students, as well as maps with a limited number of thematic layers, are the predominant map forms found in elementary school textbooks in both Greece and Cyprus. The ability of elementary school children between Grade 3 and Grade 6 to analyse map content on these types of maps is investigated in a series of tests. The variables considered are map scale, complexity of background, number of thematic layers, and representation of landforms. Results indicate the need for strategic use of different map forms in order to help students to develop the ability to analyse map content.

In the process of creating a tourist map, six basic parameters must be considered: the purpose and duration of the visit, the amount of information that needs to be included in the tourist map, the user's culture and conceptual ability, and the various characteristics of the portrayed area. Unsuccessful consideration of these parameters in traditional tourist maps reduces their functionality. This paper discusses the above concepts, and introduces the idea of using CIS technology as the environment for creating more effective cartographic products for tourist needs.

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The present paper presents the performance of an experimental cartographic study towards the examination of the minimum duration threshold required for the detection by the central vision of a moving point symbol on cartographic backgrounds. The examined threshold is investigated using backgrounds with discriminant levels of information. The experimental process is based on the collection (under free viewing conditions) and the analysis of eye movement recordings. The computation of fixation derived statistical metrics allows the calculation of the examined threshold as well as the study of the general visual reaction of map users. The critical duration threshold calculated within the present study corresponds to a time span around 400msec. The results of the analysis indicate meaningful evidences about these issues while the suggested approach can be applied towards the examination of perception thresholds related to changes occurred on dynamic stimuli.