Acquisition of Spatial Knowledge Through Visual Exploration of Simulated Environments

Péruch, Patrick; Vercher, Jean-Louis; Gauthier, Gabriel M.

doi:10.1207/s15326969eco0701_1

Cited by 148 publications

(120 citation statements)

References 19 publications

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“…This result does indicate that interaction can indeed increase the quality of human decision-making with map displays. In this respect, it supports the findings of studies showing significant advantages of interactivity in the field of visual object recognition (James et al 2002), and the acquisition of spatial knowledge through visual exploration of simulated environments (Peruch et al 1995).…”

Section: Discussionsupporting

confidence: 84%

“…While studies on visual object recognition (Harman et al 1999;James et al 2002), or on the acquisition of spatial knowledge in a virtual environment (Peruch et al, 1995) have found significant advantages to providing interactivity to users, other studies were not able to detect any benefits of interactivity for navigating in desktop and virtual environments (Foreman et al 2004;Melanson et al 2002). There are even examples of studies showing that participants who were searching for structure in 3D data performed worse when provided with possibilities to interact (Marchak and Zulager 1992).…”

Section: Related Workmentioning

confidence: 99%

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How users interact with a 3D geo-browser under time pressure

Wilkening¹,

Fabrikant

2013

Cartography and Geographic Information Science

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Interactive 3D geo-browsers, also known as globe viewers, are popular, because they are easy and fun to use. However, it is still an open question whether highly interactive, 3D geographic data browsing, and visualization displays support effective and efficient spatio-temporal decision making. Moreover, little is known about the role of time constraints for spatio-temporal decision-making in an interactive, 3D context. In this article, we present an empirical approach to assess the effect of decision-time constraints on the quality of spatio-temporal decision-making when using 3D geo-browsers, such as GoogleEarth, in 3D task contexts of varying complexity. Our experimental results suggest that while, overall, people interact more with interactive geo-browsers when not under time pressure, this does not mean that they are also more accurate or more confident in their decisions when solving typical 3D cartometric tasks. Surprisingly, we also find that 2D interaction capabilities (i.e., zooming and panning) are more frequently used for 3D tasks than 3D interaction tools (i.e., rotating and tilting), regardless of time pressure. Finally, we find that background and training of tested users do not seem to influence 3D task performance. In summary, our study does not provide any evidence for the added value of using interactive 3D globe viewers when needing to solve 3D cartometric tasks with or without time pressure. PLEASE SCROLL DOWN FOR ARTICLETaylor & Francis makes every effort to ensure the accuracy of all the information (the "Content") contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. Terms & Conditions of access and use can be found at http:// www.tandfonline.com/page/terms-and-conditions Interactive 3D geo-browsers, also known as globe viewers, are popular, because they are easy and fun to use. However, it is still an open question whether highly interactive, 3D geographic data browsing, and visualization displays support effective and efficient spatio-temporal decision making. Moreover, little is known about the role o...

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Section: Discussionsupporting

confidence: 84%

Section: Related Workmentioning

confidence: 99%

How users interact with a 3D geo-browser under time pressure

Wilkening¹,

Fabrikant

2013

Cartography and Geographic Information Science

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“…A condition where participants can only manage the direction of their displacement would give some information about the visuomotor coordination of two directions with the hand. This challenges the debate on the possible advantage of active navigation with a joystick (compared to simple observation), where some studies detected a benefit for spatial learning performances [21] [24]). Moreover, joystick interfaces are more widely used than treadmills, since they are less expensive, easier to implement from a technological standpoint.…”

Section: Resultsmentioning

confidence: 99%

“…One question not yet resolved concerns the exploration mode used to navigate in a VE [22]. Indeed, sometimes authors have shown great spatial acquisition with an active exploration mode (i.e., user had a sensorimotor interaction with the VE) compared to a passive mode exploration [23] (i.e., user had no interaction with the VE) [21][1][2] [8], but others did not [22][23] [24]. Moreover, these studies were generally based on a joystick or a mouse/keyboard interface.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impact of Automatic vs. Controlled Rotations on Spatial Transfer with a Joystick and a Walking Interface in VR

Larrue

Sauzéon

Foloppe

et al. 2013

Human-Computer Interaction – INTERACT 2013

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Abstract. We present a user study assessing spatial transfer in a 3D navigation task, with two different motor activities: a minimal (joystick) and an extensive motor activity (walking Interface), with rotations of the viewpoint either controlled by the user, or automatically managed by the system. The task consisted in learning a virtual path of a 3D model of a real city, with either one of these four conditions: Joystick / Treadmill Vs Manual Rotation / Automatic Rotation. We assessed spatial knowledge with six spatial restitution tasks. To assess the interfaces used, we analyzed also the interaction data acquired during the learning path. Our results show that the direct control of rotations has different effects, depending on the motor activity required by the input modality. The quality of spatial representation increases with the Treadmill when rotations are enabled. With the Joystick, controlling the rotations affect spatial representations. We discuss our findings in terms of cognitive, sensorimotor processes and human computer interaction issues.

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“…laser light or radio waves) and measuring the return. There is a significant literature on vision-based navigation [14,84,58,60,73,66,28,25,64,43], and our experimental section could be characterized simply as occlusion-driven navigation [47,48,9]. In most of the literature, stereo or motion are exploited to provide a three-dimensional map of the environment, which is then handed off to a path planner, separating the photometric from the geometric and topological aspect of the problem.…”

Section: Summary and Discussionmentioning

confidence: 99%

Actionable Information in Vision

Soatto

2013

Machine Learning for Computer Vision

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Summary. A notion of visual information is introduced as the complexity not of the raw images, but of the images after the effects of nuisance factors such as viewpoint and illumination are discounted. It is rooted in ideas of J. J. Gibson, and stands in contrast to traditional information as entropy or coding length of the data regardless of its use, and regardless of the nuisance factors affecting it. The non-invertibility of nuisances such as occlusion and quantization induces an "information gap" that can only be bridged by controlling the data acquisition process. Measuring visual information entails early vision operations, tailored to the structure of the nuisances so as to be "lossless" with respect to visual decision and control tasks (as opposed to data transmission and storage tasks implicit in communications theory). The definition of visual information suggests desirable properties that a visual representation should possess to best accomplish vision-based decision and control tasks.

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Acquisition of Spatial Knowledge Through Visual Exploration of Simulated Environments

Cited by 148 publications

References 19 publications

How users interact with a 3D geo-browser under time pressure

How users interact with a 3D geo-browser under time pressure

Assessing the Impact of Automatic vs. Controlled Rotations on Spatial Transfer with a Joystick and a Walking Interface in VR

Actionable Information in Vision

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