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Proxemic maps for immersive visualization / Zeinab Ghaemi in Cartography and Geographic Information Science, vol 49 n° 3 (May 2022)  

Public [article]  inCartography and Geographic Information Science > vol 49 n° 3 (May 2022) Titre : Proxemic maps for immersive visualization Type de document : Article/Communication Auteurs : Zeinab Ghaemi, Auteur ; Ulrich Engelke, Auteur ; Barrett Ens, Auteur ; Bernhard Jenny, Auteur Année de publication : 2022 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] immersion [Termes IGN] programme interactif [Termes IGN] projection [Vedettes matières IGN] Géovisualisation Résumé : (auteur) In human computer interaction, proxemics describes the ways that people use space to interact with other people or objects. We focus on proxemic maps, which are virtual maps in immersive environments that react to proxemic interaction. Proxemic maps take advantage of new opportunities brought about by immersive visualization, where virtual maps can be freely positioned in virtual or physical space and adapt themselves relative to the spatial position of the viewer. We discuss proxemic interactions that alter the content and type of maps, including changing scale, symbolization, type of visualization and geometry. We propose a novel transformation that changes the geometry of maps based on their proximity to users. Users move the map back and forth and the map transitions between ring, horizontal, vertical and cylindrical geometries. The ring geometry surrounds the user and aligns features on the map with features in the real world. We implemented the map transformation in virtual reality and conducted a user study to evaluate it. The results of the user study indicate that participants preferred the ring and horizontal geometries. The ring geometry is useful because it simplifies connecting virtual features on the map with real features in the landscape, while the horizontal geometry provides an overall view of the landscape. We further found that combination of different geometries helped the study participants to overcome the limitations of each geometry. Numéro de notice : A2022-142 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2021.2013946 Date de publication en ligne : 24/01/2022 En ligne : https://doi.org/10.1080/15230406.2021.2013946 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99961 [article]

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Comparative eye-tracking evaluation of scatterplots and parallel coordinates / Rudolf Netzel in Visual Informatics, vol 1 n° 2 (June 2017)  

Public [article]  inVisual Informatics > vol 1 n° 2 (June 2017) . - pp 118 - 131 Titre : Comparative eye-tracking evaluation of scatterplots and parallel coordinates Type de document : Article/Communication Auteurs : Rudolf Netzel, Auteur ; Jenny Vuong, Auteur ; Ulrich Engelke, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 118 - 131 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] coordonnées cartésiennes [Termes IGN] graphique [Termes IGN] oculométrie [Termes IGN] visualisation de données [Vedettes matières IGN] Géovisualisation Résumé : (auteur) We investigate task performance and reading characteristics for scatterplots (Cartesian coordinates) and parallel coordinates. In a controlled eye-tracking study, we asked 24 participants to assess the relative distance of points in multidimensional space, depending on the diagram type (parallel coordinates or a horizontal collection of scatterplots), the number of data dimensions (2, 4, 6, or 8), and the relative distance between points (15%, 20%, or 25%). For a given reference point and two target points, we instructed participants to choose the target point that was closer to the reference point in multidimensional space. We present a visual scanning model that describes different strategies to solve this retrieval task for both diagram types, and propose corresponding hypotheses that we test using task completion time, accuracy, and gaze positions as dependent variables. Our results show that scatterplots outperform parallel coordinates significantly in 2 dimensions, however, the task was solved more quickly and more accurately with parallel coordinates in 8 dimensions. The eye-tracking data further shows significant differences between Cartesian and parallel coordinates, as well as between different numbers of dimensions. For parallel coordinates, there is a clear trend toward shorter fixations and longer saccades with increasing number of dimensions. Using an area-of-interest (AOI) based approach, we identify different reading strategies for each diagram type: For parallel coordinates, the participants’ gaze frequently jumped back and forth between pairs of axes, while axes were rarely focused on when viewing Cartesian coordinates. We further found that participants’ attention is biased: toward the center of the whole plotfor parallel coordinates and skewed to the center/left side for Cartesian coordinates. We anticipate that these results may support the design of more effective visualizations for multidimensional data. Numéro de notice : A2017-856 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.visinf.2017.11.001 Date de publication en ligne : 02/12/2017 En ligne : https://doi.org/10.1016/j.visinf.2017.11.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89751 [article]