The Next Generation of Atlas User Interfaces: A User Study with “Digital Natives”

Schnürer, Raimund; Sieber, René; Çöltekin, Arzu

doi:10.1007/978-3-319-07926-4_3

Cited by 21 publications

(9 citation statements)

References 21 publications

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“…We should carefully generalize, e.g., emphasize the important while removing the unimportant, group the information both thematically and perceptually, and pay attention to visual hierarchy when we design displays. We should remember linking the good cartographic design principles to modern interaction design paradigms (MacEachren et al 2008, Schnürer et al 2014, Slocum et al 2008. Furthermore, researchers in the cartography and geovisualization domain have taken a strong interest in cognitive and usability issues and much progress has been made to understand how human capacity can enhance or limit our experiences with visual displays (Çöltekin et al 2010, Knapp 1995, Montello 2002, Roth 2013, Slocum et al 2001.…”

Section: Analyzing Mining and Visualizing Geospatial Big Data For Dementioning

confidence: 99%

Geospatial big data handling theory and methods: A review and research challenges

Dragićević

Castro

et al. 2016

ISPRS Journal of Photogrammetry and Remote Sensing

425

218

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Big data has now become a strong focus of global interest that is increasingly attracting the attention of academia, industry, government and other organizations. Big data can be situated in the disciplinary area of traditional geospatial data handling theory and methods. The increasing volume and varying format of collected geospatial big data presents challenges in storing, managing, processing, analyzing, visualizing and verifying the quality of data. This has implications for the quality of decisions made with big data. Consequently, this position paper of the International Society for Photogrammetry and Remote Sensing (ISPRS) Technical Commission II (TC II) revisits the existing geospatial data handling methods and theories to determine if they are still capable of handling emerging geospatial big data. Further, the paper synthesises problems, major issues and challenges with current developments as well as recommending what needs to be developed further in the near future.

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Section: Analyzing Mining and Visualizing Geospatial Big Data For Dementioning

confidence: 99%

Geospatial big data handling theory and methods: A review and research challenges

Dragićević

Castro

et al. 2016

ISPRS Journal of Photogrammetry and Remote Sensing

425

218

View full text Add to dashboard Cite

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“…Not only we should study if 'this type of 3D is good for task type x' (for what) but we should study if 'this type of 3D is good for task type x and participant type y' (for whom). Literature abounds with examples that expertise, i.e., education, experience, previous exposure (e.g., Çöltekin et al, 2010), spatial abilities (Liben & Downs, 1989;Huk, 2006), visual abilities (Fukuda et al, 2010), age (Schnürer et al, 2015), and possibly other characteristics, such as lack of sleep (Kong et al, 2011), or if the alphabet is pictorial/iconic, or if one reads and writes from left to right, or if one conventionally uses certain graphical designs, etc.) all have an influence on whether we benefit from working different kinds of graphics (including 3D), or not.…”

Section: Conceptual Organization Of Current Empirical Studiesmentioning

confidence: 99%

ON THE USABILITY AND USEFULNESS OF 3D (GEO)VISUALIZATIONS – A FOCUS ON VIRTUAL REALITY ENVIRONMENTS

Çöltekin¹,

Lokka²,

Zahner³

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Whether and when should we show data in 3D is an on-going debate in communities conducting visualization research. A strong opposition exists in the information visualization (Infovis) community, and seemingly unnecessary/unwarranted use of 3D, e.g., in plots, bar or pie charts, is heavily criticized. The scientific visualization (Scivis) community, on the other hand, is more supportive of the use of 3D as it allows 'seeing' invisible phenomena, or designing and printing things that are used in e.g., surgeries, educational settings etc. Geographic visualization (Geovis) stands between the Infovis and Scivis communities. In geographic information science, most visuo-spatial analyses have been sufficiently conducted in 2D or 2.5D, including analyses related to terrain and much of the urban phenomena. On the other hand, there has always been a strong interest in 3D, with similar motivations as in Scivis community. Among many types of 3D visualizations, a popular one that is exploited both for visual analysis and visualization is the highly realistic (geo)virtual environments. Such environments may be engaging and memorable for the viewers because they offer highly immersive experiences. However, it is not yet well-established if we should opt to show the data in 3D; and if yes, a) what type of 3D we should use, b) for what task types, and c) for whom. In this paper, we identify some of the central arguments for and against the use of 3D visualizations around these three considerations in a concise interdisciplinary literature review.

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“…Thus, in a study such as we describe here, age is an important factor and should be considered for recruiting participants, i.e., different age groups may have different recall rates and potentially remember different visual elements. In fact, age appears to be important in performance and preferences of participants even if the focus of the study is performance and not memory (Schnürer et al, 2015). Additionally, spatial abilities have also been previously shown to affect performance as well as memory, especially in spatial tasks (Miyake et al, 2001).…”

Section: State Of the Artmentioning

confidence: 99%

Simulating Navigation With Virtual 3d Geovisualizations – A Focus on Memory Related Factors

Lokka

Çöltekin²

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The use of virtual environments (VE) for navigation-related studies, such as spatial cognition and path retrieval has been widely adopted in cognitive psychology and related fields. What motivates the use of VEs for such studies is that, as opposed to real-world, we can control for the confounding variables in simulated VEs. When simulating a geographic environment as a virtual world with the intention to train navigational memory in humans, an effective and efficient visual design is important to facilitate the amount of recall. However, it is not yet clear what amount of information should be included in such visual designs intended to facilitate remembering: there can be too little or too much of it. Besides the amount of information or level of detail, the types of visual features ('elements' in a visual scene) that should be included in the representations to create memorable scenes and paths must be defined. We analyzed the literature in cognitive psychology, geovisualization and information visualization, and identified the key factors for studying and evaluating geovisualization designs for their function to support and strengthen human navigational memory. The key factors we identified are: i) the individual abilities and age of the users, ii) the level of realism (LOR) included in the representations and iii) the context in which the navigation is performed, thus specific tasks within a case scenario. Here we present a concise literature review and our conceptual development for follow-up experiments.

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The Next Generation of Atlas User Interfaces: A User Study with “Digital Natives”

Cited by 21 publications

References 21 publications

Geospatial big data handling theory and methods: A review and research challenges

Geospatial big data handling theory and methods: A review and research challenges

ON THE USABILITY AND USEFULNESS OF 3D (GEO)VISUALIZATIONS – A FOCUS ON VIRTUAL REALITY ENVIRONMENTS

Simulating Navigation With Virtual 3d Geovisualizations – A Focus on Memory Related Factors

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The Next Generation of Atlas User Interfaces: A User Study with “Digital Natives”

Cited by 21 publications

References 21 publications

Geospatial big data handling theory and methods: A review and research challenges

Geospatial big data handling theory and methods: A review and research challenges

ON THE USABILITY AND USEFULNESS OF 3D (GEO)VISUALIZATIONS &ndash; A FOCUS ON VIRTUAL REALITY ENVIRONMENTS

Simulating Navigation With Virtual 3d Geovisualizations – A Focus on Memory Related Factors

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ON THE USABILITY AND USEFULNESS OF 3D (GEO)VISUALIZATIONS – A FOCUS ON VIRTUAL REALITY ENVIRONMENTS