Improving Spatial Awareness for Human Trajectory Visualization in Space-Time Cubes

Gonçalves, Tiago; Afonso, Ana Paula; Martins, Bruno

doi:10.1007/978-3-319-22723-8_26

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…In addition, participants have also mentioned the usefulness of the temporal granularity controls that allowed them to visualize with more detail variations of information in close periods of time and, for some participants, to convert the 3D STC into a 2D map. In fact, we detected similar strategies from the participants when using STC to those described by Gonç alves et al (2015). Namely, to improve their spatial/geographical awareness, the participants have tried to minimize the third dimension aspect from the STC by looking at the data from a bird's eye perspective or by reducing the STC's height to its minimum, simulating a 2D map.…”

Section: Discussionmentioning

confidence: 61%

“…However, the analysis of trajectory data may not be focused in just one type of task. This makes the choice for an adequate visualization technique an important challenge, and suggests the need for studying and quantifying the advantages of combining both types of techniques (Amini et al 2015;Gonç alves et al 2015;Kveladze et al 2015). Gonç alves et al 2015present an alternative for the STC technique, by using a parallel 2D map overview to the STC, as a means to improve user performance in location-based tasks.…”

Section: Cartographic Visualization Of Human Trajectory Datamentioning

confidence: 99%

“…As such, the choice for an adequate visualization technique can be seen as an important, and sometimes controversial, challenge, since the results of previous studies suggest that each technique is more adequate than the other for specific types of visualization tasks (e.g., identify, compare, associate). Interestingly, despite some authors suggesting the interest of combining both techniques (Amini et al 2015;Gonç alves et al 2015), few studies have addressed this challenge, while those that did can be seen as somewhat focused in distinguishing the different components rather than exploring the actual consequences of their combination (Gonç alves et al 2013;Kveladze et al 2015).…”

Section: Introductionmentioning

confidence: 99%

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Why not both? – Combining 2D maps and 3D space-time cubes for human trajectory data visualization

Gonçalves

Afonso

Martins

2016

Electronic Workshops in Computing

Self Cite

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Throughout the years, researchers have tried to understand dynamics and general patterns associated with human movement, e.g. in the context of urban planning, to improve the lives of citizens. To do this, it is necessary to properly analyse the spatio-temporal and the thematic properties of their trajectory data. Thematic maps, particularly 2D maps and 3D space-time cubes (STCs), are among the most common approaches to analyse and visualize these data. Previous research attests to the usefulness of these visualization techniques in different types of tasks. However, it is unlikely that the analysis of trajectories will be always limited to a specific type of task, thus, motivating additional studies to evaluate the dis/advantages of combining both techniques, within the same view/interaction context. In this paper, we address this specific challenge, by presenting a comparative study between three prototypes, one using a 2D map, one using a STC, and one combining both techniques, for the visualization of trajectories. Our results support previous studies' conclusions, by showing the advantages of 2D maps and STCs for spatial and spatio-temporal tasks, respectively. They also point out towards the advantages of using both techniques together, as users seem to prefer this alternative and are able to complete different types of tasks accurately, despite the increasing complexity of the visualization.

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Section: Discussionmentioning

confidence: 61%

Section: Cartographic Visualization Of Human Trajectory Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Why not both? – Combining 2D maps and 3D space-time cubes for human trajectory data visualization

Gonçalves

Afonso

Martins

2016

Electronic Workshops in Computing

Self Cite

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“…The finding that spatial patterns are of lower granularity when using a STC is in accordance with the finding of [40] that the STC is less powerful on metric properties, but further specifies this finding that this is mainly true for spatial details, less for temporal ones. To improve users' spatial awareness, [61] compared different STC variations. For the more general tasks they observed higher accuracy and fewer interactions when users are provided a movable map plane or a linked 2D map than a vertical reference line (which was used in this study).…”

Section: Subjective Preferencesmentioning

confidence: 99%

Integrated Visualization of Space and Time: A Distributed Cognition Perspective

Mayr¹,

Schreder²,

Salisu³

et al. 2018

Preprint

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Spatiotemporal visualizations pose certain challenges for comprehension and reasoning processes. This specifically applies to casual users who want to gain an overview of the spatiotemporal origins of large cultural collections in a relatively short time. Based on a distributed cognition approach, we compare four visualization techniques (coordinated multiple views, color coding, animation and space-time cube representations), which offer different solutions to represent spatial and temporal information in an integrated fashion. We firstly assess the strengths and weaknesses of these techniques with regard to existing work. We then complement these findings with a close look at the reasoning processes of 18 casual users. In a mixed methods study, they explored a photo collection from the middle of the 20th century by means of all four spatiotemporal visualization techniques. We investigate and compare the effects of these techniques on processes of internalization, spatiotemporal reasoning and comprehension by analyzing the observed spatial, temporal and spatiotemporal insights and the degree of connectedness of these insights. Our results provide an in-depth look at how each visualization technique supports the construction of coherent internal representations and, together with data on cognitive load and subjective references, help to understand for which tasks and users they are suited.

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