Quantifying the benefits of immersion for collaboration in virtual environments

Narayan, Michael; Waugh, Leo; Zhang, Xiaoyu; Bafna, Pradyut; Bowman, Doug A.

doi:10.1145/1101616.1101632

Cited by 51 publications

(26 citation statements)

References 7 publications

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“…For example, in a study of spatial understanding in a visualization application, the same distinction between simple and complex tasks was found [64]. Experiments on singleuser object manipulation showed no differences based on level of immersion [10], but a separate study on collaborative object manipulation (a more difficult task) indicated that stereo improved user performance [45]. The hypothesis in this experiment was supported.…”

Section: Discussionsupporting

confidence: 60%

“…Secondly, the need for more research in this area of VR will be demonstrated. Various researchers have explored the benefits of immersion in VR for various domains like architecture [41,14], 3D interaction [41,1,14,52], tasks that require spatial cues [64,52,11,45,57,60], information visualization [56,11], Collaborative…”

Section: Expected Contributionsmentioning

confidence: 99%

“…VEs [45], information rich VEs [1,52] and many notable projects. This research would contribute to that list.…”

Section: Expected Contributionsmentioning

confidence: 99%

See 2 more Smart Citations

Quantifying the benefits of immersion for procedural training

Sowndararajan

Wang

Bowman

2008

Proceedings of the 2008 Workshop on Immersive Projection Technologies/Emerging Display Technologiges

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Section: Discussionsupporting

confidence: 60%

Section: Expected Contributionsmentioning

confidence: 99%

See 1 more Smart Citation

Quantifying the benefits of immersion for procedural training

Sowndararajan

Wang

Bowman

2008

Proceedings of the 2008 Workshop on Immersive Projection Technologies/Emerging Display Technologiges

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“…Consequently, missing or distorted motion parallax is likely not the cause for the underestimation. Nevertheless, head tracking is important as it is seen as a component of immersion [Bowman and McMahan 2007;Narayan et al 2005] and as enhancing presence [Hendrix and Barfield 1995;Schuemie et al 2001]. …”

Section: The Availability Of Nonpictorial Depth Cuesmentioning

confidence: 99%

The perception of egocentric distances in virtual environments - A review

2013

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Over the last 20 years research has been done on the question of how egocentric distances, i.e., the subjectively reported distance from a human observer to an object, are perceived in virtual environments. This review surveys the existing literature on empirical user studies on this topic. In summary, there is a mean estimation of egocentric distances in virtual environments of about 74% of the modeled distances. Many factors possibly influencing distance estimates were reported in the literature. We arranged these factors into four groups, namely measurement methods, technical factors, compositional factors, and human factors. The research on these factors is summarized, conclusions are drawn, and promising areas for future research are outlined.

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“…Several studies have demonstrated that the use of Immersive Virtual Reality (IVR) technologies can enhance the performance of clinician tasks [5]. However, even if some medical applications present immersive VR facilities for 3D models visualization, they usually do not provide the natural 3D interaction methods necessary to completely benefit from IVR environments.…”

Section: Introductionmentioning

confidence: 99%

Toward a natural interface to virtual medical imaging environments

Gallo

Pietro²,

Coronato³

et al. 2008

Proceedings of the Working Conference on Advanced Visual Interfaces

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Immersive Virtual Reality environments are suitable to support activities related to medicine and medical practice. The immersive visualization of information-rich 3D objects, coming from patient scanned data, provides clinicians with a clear perception of depth and shapes. However, to benefit from immersive visualization in medical imaging, where inspection and manipulation of volumetric data are fundamental tasks, medical experts have to be able to act in the virtual environment by exploiting their real life abilities. In order to reach this goal, it is necessary to take into account user skills and needs so as to design and implement usable and accessible human-computer interaction interfaces. In this paper we present a natural interface for a semi-immersive virtual environment. Such interface is based on an off-the-shelf handheld wireless device and a speech recognition component, and provides clinicians with intuitive interaction modes for inspecting volumetric medical data.

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Quantifying the benefits of immersion for collaboration in virtual environments

Cited by 51 publications

References 7 publications

Quantifying the benefits of immersion for procedural training

Quantifying the benefits of immersion for procedural training

The perception of egocentric distances in virtual environments - A review

Toward a natural interface to virtual medical imaging environments

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