NDLI: Presence, rather than prior exposure, is the more strongly indicated factor in the accurate perception of egocentric distances in real world co-located immersive virtual environments ( APGV '06 )

Please wait, while we are loading the content...

The influence of feedback on egocentric distance judgments in real and virtual environments

Categorization of natural scenes: local vs. global information

Perception of image motion during head movement

Color perception of 3D objects: constancy with respect to variation of surface gloss

Semantic 3D motion retargeting for facial animation

Stevens dot patterns for 2D flow visualization

Verification of rendering quality from measured BTFs

Application of a visual perception model in virtual reality

Minification influences spatial judgments in virtual environments

Evaluation of supra-threshold perceptual metrics for 3D models

A comparison of immersive HMD, fish tank VR and fish tank with haptics displays for volume visualization

Contrast enhancement of images using human contrast sensitivity

The evaluation of stylized facial expressions

3D contour perception for flow visualization

Efficient selective rendering of participating media

Creating quadrilateral mosaics from image topographic features

Updating orientation in large virtual environments using scaled translational gain

Large displays enhance spatial knowledge of a virtual environment

Motion coding for pattern detection

Designing nonperspective projection through screen-space manipulation

Discrimination and estimation of time-to-contact for approaching traffic using a desktop environment

Enhancing interactive particle visualization with advanced shading models

Distance estimation in virtual environments using bisection

Effects of 2D geometric transformations on visual memory

Egocentric medium-field distance perception in projection environments

Exploring large virtual environments with an HMD on foot

Great grids: how and why?

Hiding seams in high dynamic range panoramas

iCAM for high-dynamic-range image rendering

iComp: a tool for scanpath visualization and comparison

Making distance judgments in real and virtual environments: does order make a difference?

Multiple perspectives in computer graphics: arguments from perceptual grouping and renaissance art

Optical flow, geometric field of view, and requested vehicle velocity

Point-to-origin experiments in VR revealed novel qualitative errors in visual path integration

Presence, rather than prior exposure, is the more strongly indicated factor in the accurate perception of egocentric distances in real world co-located immersive virtual environments

Representations that promote cognition: the case of chemistry visualization tools

The 'detection, perception and object-presence' framework: a unified structure for investigating illusory representations of reality

The effect of rotational ego-motion on the perception of high fidelity animations

The effect of warm and cool object colors on depth ordering

The relationship among age and other factors on incidence of cybersickness in immersive environment users

Visualization with smooth oriented textures and flows: insights from perception

Weaving versus blending: a quantitative assessment of the information carrying capacities of two alternative methods for conveying multivariate data with color

Presence, rather than prior exposure, is the more strongly indicated factor in the accurate perception of egocentric distances in real world co-located immersive virtual environments ( APGV '06 )

Content Provider	ACM Digital Library
Author	Interrante, Victoria Lindquist, Jason Ries, Brian Anderson, Lee
Abstract	In recent work [4,2], we have discovered that people are able to make surprisingly accurate judgments about egocentric distances in an immersive virtual environment (IVE) in the special case that the IVE represents a high fidelity model of the same physical space that the user is actually occupying, and the user has been able to unambiguously verify this by viewing the real space prior to donning the display upon which the corresponding virtual environment is presented. Through followup experiments in multiple locales, we have verified that the key factor enabling this distance perception accuracy is fact of co-location, rather than any particular characteristics of the physical environment [1].One possible interpretation of these intriguing results is that observers are better enabled to make accurate judgments of egocentric distance in an IVE when they are when they are cognitively 'immersed' or 'present' in the IVE -- i.e. when they readily accept the virtual environment as being 'equivalent' to the real world and are therefore prepared to act in the virtual world in the same way that they act in the real world [3]. However, another interpretation is also possible: it could be that people are able to make accurate judgments of egocentric distances in a virtual environment when they know that it exactly corresponds to a recently viewed real environment because they are able to form a metrically accurate mental model of the spatial structure of the real environment from their brief exposure to it, so that when they are subsequently presented with the virtual environment they simply calibrate their mental model of distances in the IVE to be consistent with their remembered model of the corresponding real environment.In order to disambiguate between the 'presence' hypothesis and the 'spatial memory' hypothesis, we conducted the following study. Using a between-subjects design, we asked observers to make judgments of egocentric distance via blind walking in a real room and in one of three different virtual models, each of which was described to the participants as representing a "high fidelity virtual model of that same room". However, only one of the virtual models was actually an identical match in size to the real room. Nine of our 23 participants viewed a virtual model in which each of the walls had been surreptitiously moved 3 ft inward towards the center of the room, and another nine viewed a virtual model in which each of the walls had been surreptitiously moved 3.75 ft outwards from the center of the room. In each case, the textures were touched up in Photoshop to effect the changes without scaling anything. The remaining 5 participants viewed the same sized virtual model, replicating our earlier study. Acoustic cues were muffled for all participants by a radio playing static, and no training or feedback was given at any time.If the 'presence' hypothesis holds, we would either expect that the performance of participants in each group would be about the same, or that distances would be slightly underestimated in each of the artificially manipulated rooms. However, if the 'spatial memory' hypothesis holds, then we would expect that distance judgments would tend to deviate in opposite directions in the smaller and larger rooms, relative to the in the same room: participants who experience the smaller virtual room should overestimate distances in the virtual environment, and participants who experience the larger room should underestimate distances in the virtual environment, relative to in the real room.Figure 1 shows the three virtual environments used in this study, and figure 2 shows the average relative error in the distance judgments made by each participant in each virtual environment (vertical axis), compared to their error in the real environment (horizontal axis). We can see that most participants who experienced the accurately sized virtual room made distance judgments that were nearly equivalent in the real and virtual environments, consistent with our earlier findings [2]. However, many of the participants who experienced the smaller room model, and nearly all of the participants who experienced the larger room model, judged distances to be shorter, on average, in the virtual world than in the real world. These trends are statistically significant, and seem to support the 'presence' hypothesis more strongly than the 'remembered size' hypothesis.
Starting Page	157
Ending Page	157
Page Count	1
File Format	PDF
ISBN	1595934294
DOI	10.1145/1140491.1140534
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-07-28
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in