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Psychometric assessment and behavioral experiments using a free virtual reality platform and computational science

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2016
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Title
Psychometric assessment and behavioral experiments using a free virtual reality platform and computational science
Published in
BMC Medical Informatics and Decision Making, March 2016
DOI 10.1186/s12911-016-0276-5
Pubmed ID
Authors

Pietro Cipresso, Silvia Serino, Giuseppe Riva

Abstract

Virtual Reality has been extensively used in a wide range of psychological experiments. In this study, we aimed to introduce NeuroVirtual 3D, a platform that clinicians could use free of charge. The platform we developed relies on NeuroVR software, but we extended it to apply to experiments. The software is available free of charge to researchers and clinical practitioners who can also use a large number of virtual environments and objects already developed. The platform has been developed to connect to virtually every device ever produced by the means of Virtual-Reality Peripheral Network (VRPN) protocols; however, a number of these have already been included and tested in the platform. Among the available devices, the Microsoft Kinect low-cost sensor has already been configured for navigation through the virtual environments and to trigger specific action (sounds, videos, images, and the like) when a specific gesture is recognized, e.g., a step forward or an arm up. A task for neglect and a task for spatial abilities assessment were already implemented within the platform. Moreover, NeuroVirtual 3D integrated a TCP-IP-based module (bridge) to collect the data from virtually any existent biosensor (Thought-Technology, Zephyr and StarStim devices have already been included in the platform). It is able to record any psychophysiological signal during any experiment using also the computed indices in real time. NeuroVirtual 3D is able to record external and internal (e.g., coordinates, keys-press, timestamp) data with a millisecond precision, representing de facto the most advanced technology for experimental psychology using virtual environments available without the needs to program code.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 3%
United States 1 <1%
Italy 1 <1%
Unknown 112 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 15%
Student > Ph. D. Student 14 12%
Student > Master 11 9%
Student > Doctoral Student 10 9%
Student > Bachelor 10 9%
Other 23 20%
Unknown 32 27%
Readers by discipline Count As %
Psychology 31 26%
Computer Science 13 11%
Engineering 9 8%
Neuroscience 7 6%
Nursing and Health Professions 6 5%
Other 15 13%
Unknown 36 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 March 2016.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,852
of 2,030 outputs
Outputs of similar age
#260,211
of 302,319 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#26
of 27 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,030 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.