Creative Map Studio: A Platform for Visual Analytics of Mental Maps

Chumakov, Roman; Ryabinin, Konstantin; Белоусов, Константин; Duan, Jianpeng

doi:10.26583/sv.13.2.06

Cited by 6 publications

(8 citation statements)

References 22 publications

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“…It became clear that the study of mental maps using digital technologies has a lot of advantages [5][6][7][8]. Some digital systems for working with representations of mental maps have appeared [6,9,10], including the Creative Maps Studio application (https://creativemaps.studio), which has been developed to allow creating digital representations of mental maps. More than 900 maps from 12 regions of Russia were collected by using this application.…”

Section: Introductionmentioning

confidence: 99%

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Towards Visualization of Generalized Mental Maps Representations

Chumakov¹,

Ryabinin²,

Белоусов³

2022

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The paper is devoted to the visualization of generalized digital representations of mental maps. Digital mental map representations (DMMRs) are digital drawings of some certain spaces made by humans, reflecting their spatial experience and distinctive thoughts they have about the considered spatial places. Accordingly, DMMRs can be useful for identifying people's subjective perception of some space. If there are many DMMRs and their manual analysis is difficult, some generalized representation can be used, which can help identify general patterns or trends in the perception of space by informants.In addition to the visualization itself, this article also describes some of the issues that arise in the process of creating a generalized representation of the DMMRs and suggests novel methods for solving these issues. However, the proposed solutions do not guarantee full objectivity; they are only an approximation attempt. The methods to assess and increase the approximation quality are the matter of future work.In previous works, the Creative Maps Studio web application was developed to collect DMMRs. This application is also used in this work. However, now it was been enriched by an analytical module that allows performing various transformations of the DMMRs and related data. This analytical module is based on the concept of data flow visual programming. Particular data processing operators within this module are described by ontologies. This makes that module quite flexible and easy to use. With the help of this module, the visualization of the generalized map is implemented.One more question considered in the paper is the process of data preparation and visualization. Suggestions are made for the interpretation of the results. The strengths and weaknesses of the proposed data processing and visualization methods are discussed.

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Section: Introductionmentioning

confidence: 99%

“…The mental map representations used in this work as a data source are collected in digital format using the Creative Maps Studio application developed earlier [10]. The analytical module (the GMV is a part of) is built using the ontology engineering principles and data flow programming paradigm.…”

Section: Introductionmentioning

confidence: 99%

Towards Visualization of Generalized Mental Maps Representations

Chumakov¹,

Ryabinin²,

Белоусов³

2022

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“…It became clear that the study of mental maps using digital technologies has some advantages [1,2,3,4]. Some digital systems for working with representations of mental maps have appeared [2,5,6], including the Creative Maps Studio application (https://creativemaps.studio), which has been developed to allow creating digital representations of mental maps. More than 800 maps from 9 regions of Russia were collected by using this application.…”

Section: Introductionmentioning

confidence: 99%

Visualization of Mental Map Representation Patterns

Chumakov¹,

Ryabinin

Белоусов

2022

Proceedings of the 32nd International Conference on Computer Graphics and Vision

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The paper is devoted to the automation of visual analytics of digital mental map representation sets. Digital mental map representations are digital drawings of some certain spaces made by humans, reflecting their spatial experience and distinctive thoughts they have about the considered spatial places. The subjectivity behind mental maps fundamentally distinguishes them from the geographical maps and makes them a very fruitful material for Digital Humanities research. To unveil the potential of this research, in the previous works we developed the Creative Maps Studio vector graphics editor to enable informants intuitively draw their mental maps. In the present work, we enrich Creative Maps Studio with ontology-driven analytical subsystem to enable in-place handling of mental map representations. The proposed subsystem provides visual tools to describe the processing pipeline of mental map representations using a data flow programming paradigm wherein each processing step is described by ontology. This approach proved its flexibility and efficiency in solving different visual analytics tasks. The implemented analytical modules allow automatically render a set of mental maps representations in the graphical form and to view statistical characteristics of individual objects from these representations. The process of data preparation and visualization is described. The suggestions are proposed on the interpretation of the result. The pros and cons of using the proposed method are discussed along with the possible directions for its further development.

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“…In the present work, we propose reusing Creative Maps Studio vector editor [14] to provide Digital Humanities (DH) research experts with the ergonomic tools for segmenting multimodal stimuli into hierarchical AOIs, which can then be exported to the SciVi platform and used in the VR-based eye tracking pipeline. To test the approach proposed, we studied two use cases: the advertising poster and the painting "The Appearance of Christ Before the People" by A. Ivanov [15].…”

Section: Introductionmentioning

confidence: 99%

“…For the polycode stimuli segmentation, we use the web-based vector graphic editor Creative Maps Studio [14]. This application was originally developed for creating and editing naive maps.…”

Section: Introductionmentioning

confidence: 99%

Visual Analytics Tools for Polycode Stimuli Eye Gaze Tracking in Virtual Reality

Ryabinin

Белоусов

Chumakov

2021

Proceedings of the 31th International Conference on Computer Graphics and Vision. Volume 2

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This paper is devoted to extending the previously created unified pipeline for conducting eye-tracking- based experiments in a virtual reality environment. In the previous work, we proposed using SciVi semantic data mining platform, Unreal Engine and HTC Vive Pro Eye head-mounted display to study reading process in the immersive virtual reality. The currently proposed extension enables to handle so-called polycode stimuli: compound visual objects, which consist of individual parts carrying different semantics for the viewer. To segment polycode stimuli extracting areas of interest (areas, where the informant’s eye gaze is being tracked) we adopt Creative Maps Studio vector graphics editor. To integrate Creative Maps Studio into the existing pipeline we created plugins for SciVi platform to load and handle the segmented stimuli, place them in the virtual reality scenes, collect corresponding eye gaze tracking data and perform visual analysis of the data collected. To analyze the eye gaze tracks, we utilize a circular graph that allows comprehensive visualization of hierarchical areas of interest (mapping them to color- coded graph nodes grouped into the hierarchy with a help of multilevel circular scale) and corresponding eye movements (mapped to the graph edges). We tested our pipeline on two different stimuli: the advertising poster and the painting “The Appearance of Christ Before the People” by A. Ivanov (1857).

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Creative Map Studio: A Platform for Visual Analytics of Mental Maps

Cited by 6 publications

References 22 publications

Towards Visualization of Generalized Mental Maps Representations

Towards Visualization of Generalized Mental Maps Representations

Visualization of Mental Map Representation Patterns

Visual Analytics Tools for Polycode Stimuli Eye Gaze Tracking in Virtual Reality

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