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Por um escritor misterioso
Last updated 16 julho 2024
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The think-aloud method is a widely used method for evaluating the usability of websites and software. However, it can also be used with cartographic products, an area which has been neglected up to now. It is a method in which test participants verbalise all their thought processes aloud. The participants are given a test scenario containing tasks to be completed. The method aims to reveal the participants’ subjective attitudes toward a product in order to evaluate its usability. The present paper describes the use of the think-aloud method to evaluate the usability of a cartographic work—the regional atlas of the Moravian-Silesian Region. The study includes (I) a complete review of the method, based on the studies conducted; (II) testing tools for working with recorded data; (III) designing an experiment for evaluating the usability of the atlas; and (IV) the resulting qualitative and quantitative evaluation of the atlas based on the obtained results. During the study, three approaches were proposed to process and analyse the audio recordings. The first option was to separate the audio recordings into individual annotations and analyse them. The second option was to convert the recordings to text and perform a linguistic analysis. The third supplementary option was to use all the material produced and to analyse it subjectively and retrospectively, from the researcher’s perspective. All three options were used in the final assessment of the atlas. Based on the participants’ statements, any shortcomings in the studied atlas were identified for each topic (e.g., non-dominant maps or exceedingly complex infographics), and recommendations for their elimination were proposed.
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Full article: Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential
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IJGI, Free Full-Text
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Full article: Rainfall induced landslide susceptibility mapping using novel hybrid soft computing methods based on multi-layer perceptron neural network classifier
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Full article: Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential
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IJGI, Free Full-Text
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Frontiers Monitoring Changes and Soil Characterization in Mangrove Forests of the United Arab Emirates Using the Canonical Correlation Forest Model by Multitemporal of Landsat Data
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IJGI Free Full-Text Enhanced Drone Navigation In GNSS Denied Environment Using VDM And Hall Effect Sensor
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Serial Number 3D World Map 2.1 - Colaboratory
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A Holistic Workflow for Semi-automated Object Extraction from Large-Scale Historical Maps
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Full article: Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience
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IJGI, Free Full-Text
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