Technological Competence is a Precondition for Effective Implementation of Virtual Reality Head Mounted Displays in Human Neuroscience: A Technological Review and Meta-analysis

1 Introduction

• VR can provide dynamic stimuli and controlled interactions in ecologically valid environments, supporting advanced cognitive and behavioral data collection.The paper notes applications in assessment, rehabilitation, and treatment, including clinical conditions requiring ecological validity.Source: §1 · p. 2
• HMD-based immersive VR has reported implementation caveats, including nausea, disorientation, instability, dizziness, and fatigue, collectively termed VRISE.Questionnaires such as the Simulator Sickness Questionnaire and Virtual Reality Sickness Questionnaire are used to evaluate these effects.Source: §1 · p. 2
• VRISE can threaten participant or patient safety and confound neuropsychological, physiological, and neuroimaging results.Reported effects include declines in reaction time and cognitive performance, as well as changes in physiological and brain measures.Source: §1 · p. 2
• The review treats VRISE as technologically linked to display characteristics and non-ergonomic interactions, among other hardware and software inadequacies.It distinguishes old-generation HMDs released before 2013 from new-generation devices, using the release of the Oculus Development Kit 1 prototype to mark the transition.Source: §1 · p. 2
• The paper also examines VRISE frequency and dropout rates in neuroscience studies according to HMD generation.This meta-analysis complements the review of technological causes and implementation guidance.Source: §1 · p. 3

2 Technological systematic review

• The review followed PRISMA guidelines, searched technology-focused databases, and clustered extracted findings by common VR features.The search covered display, sound, motion tracking, navigation, ergonomic interactions, user experience, and computer hardware.Source: §2 · p. 3
• The glossary identifies a head-mounted display as a device worn on the head that provides immersive virtual reality.The supplied glossary also names development-kit and commercial-version HMDs as distinct device categories.Source: §2 · p. 4
• The glossary covers display, tracking, interaction, and navigation terms, including LCD, OLED, field of view, refresh rate, resolution, six-degree-of-freedom controllers, direct hand interaction, and teleportation.It describes a virtual environment as a three-dimensional artificial environment displayed to users for interaction.Source: §2 · p. 4

2.1.1 Display

• OLED displays, wider fields of view, higher per-eye resolution, and faster refresh rates are associated with reduced VRISE; recommended thresholds include diagonal FOV of at least 110°, refresh rate of at least 75 Hz, and resolution above 960 × 1080 sub-pixels per eye.OLED screens are described as faster-response, lighter, and better in color quality than LCD screens.Source: §2.1.1 · p. 6

2.1.2 Sound

• Spatialized sound can improve immersion, pleasantness, and navigation while decreasing VRISE likelihood, provided its volume and localization are optimized.The passage identifies ambient and feedback sounds as examples.Source: §2.1.2 · p. 6

2.1.3 Motion tracking

• Rapid, accurate motion tracking supports naturalistic movement and ergonomic interaction by providing accurate feedback about users’ bodies and positions in the virtual environment.The passage links this body-position awareness, or proprioception/kinesthesia, with vestibular- and oculomotor-mediated VRISE.Source: §2.1.3 · p. 6

2.1.4 Navigation

• Teleportation combined with physical movement is presented as the most suitable navigation approach, while touchpad-, keyboard-, or joystick-dependent movement is associated with more VRISE.Teleportation allows navigation beyond the limited physical play area and is described as alleviating VRISE.Source: §2.1.4 · p. 7

2.1.5 Ergonomic Interactions

• Naturalistic interactions can minimize VRISE, but direct hand interaction trades greater ease and pleasantness for lower accuracy than six-degree-of-freedom controller wands.The passage characterizes controllers, joysticks, and keyboards as not supporting ergonomic, naturalistic interactions.Source: §2.1.5 · p. 7

2.1.6 User Experience

• Users need tutorials and in-environment instructions to learn controls and virtual-environment behavior, including navigation and object interactions.Examples of prompts include directional arrows, signs, labels, ambient sounds, audio, and videos.Source: §2.1.6 · p. 7

2.1.7 Computer Hardware

• Researchers should match computer hardware to the minimum requirements of the VR software and HMD and report the processor, graphics card, sound card, and operating system.The passage states that hardware and software choices affect system performance and that researchers need technological competence to select them for research or clinical aims.Source: §2.1.7 · pp. 7–8

2.2 Conclusions

• HMDs should meet display thresholds and provide adequate play area, precise tracking, spatial audio, and ergonomic interactions.The display recommendations include OLED or upgraded LCD, diagonal FOV ≥ 110°, resolution > 960 x 1080 sub-pixels per eye, and refresh rate ≥75Hz.Source: §2.2 · p. 8
• Oculus DK1 and DK2 fail to meet the review’s minimum hardware criteria, despite being new-generation HMDs.The paper recommends devices at least equivalent to commercial Oculus Rift and HTC Vive versions.Source: §2.2 · p. 8
• Software should combine ergonomic interactions and navigation with informative, easy-to-follow tutorials, instructions, and prompts.The recommended navigation combines teleportation and physical movement; interactions use direct-hand systems or 6DoF controllers.Source: §2.2 · p. 8
• Technological competence is presented as a precondition for effective VR adoption, while suitable features are said to alleviate or eradicate VRISE.The authors also warn that unsuitable software may compromise study reliability or jeopardize participant or patient safety.Source: §2.2 · p. 9

3.1 Literature Research and Inclusion Criteria

• The review used PRISMA-guided, decremental screening across four databases, with keyword, date, and methodological-description criteria.Searches covered PsycInfo, PsycArticles, PubMed, and Medline; studies had to be from 2004 onward and describe VR methods alongside aims and results.Source: §3.1 · p. 10
• Table 4 covers neuroscience studies employing old generation VR HMDs.Source: Table 4 · p. 12
• Table 5 covers neuroscience studies employing new generation VR HMDs.Source: Table 5 · p. 13

3.2.1 Target Variables

• VRISE was coded as present or absent because only six studies reported it quantitatively using a questionnaire.The binary variable was used to compare old-generation HMDs, new-generation development kits, and new-generation commercial versions.Source: §3.2.1 · p. 14
• Dropouts were coded as present or absent because most studies had no dropouts and studies with some dropouts were treated as statistical outliers.The coded outcome was compared across old-generation HMDs, new-generation development kits, and new-generation commercial versions.Source: §3.2.1 · p. 14

3.2.2 Grouping Variables

• Studies were grouped by HMD generation, then new-generation studies were split by development kit versus commercial version; interaction type was also coded as ergonomic or non-ergonomic.The generation variable was additionally ordinally coded from old generation to new development kits to new commercial versions for correlation analyses.Source: §3.2.2 · p. 14

3.2.3 Definition of Ergonomic Interactions

• Interactions were classified by proximity to real-life actions: head movement, direct-hand interaction, or 6DoF controllers counted as ergonomic, unlike joystick or keyboard control.The criteria covered both looking around and interacting with objects or navigating within the virtual environment.Source: §3.2.3 · p. 15

3.3 Statistical Analyses

• Bayesian independent-samples t-tests compared VRISE frequency and dropout occurrence between old- and new-generation HMDs and between new-generation development kits and commercial versions.Bayesian Pearson correlations examined relationships among HMD generation, VRISE, interaction type, and dropouts.Source: §3.3 · p. 15
• The analyses used BF10 rather than p-values for Bayesian inference, while reporting both measures.The stated threshold was BF10 ≥ 10, which the passage identifies as strong evidence for H1 and equivalent to p-value <.01 when BF10 = 10.Source: §3.3 · p. 15
• The paper describes BF10 as evidence favoring H1 over H0 and notes its distinction from p-values is greater with small samples.The passage says Bayesian statistics were preferred over null-hypothesis significance testing.Source: §3.3 · p. 15

3.4.1 The Implementation of Old and New Generation HMDs in Cognitive Neuroscience

• The old-generation studies recruited 1,200 participants across 22 studies, while the new-generation studies recruited 982 across 22 studies, including 376 in DK and 606 in commercial-version studies.Both groups covered varied tasks and age groups; old-generation studies included 18 young-adult, 8 middle-aged, 1 older-adult, and 1 child-targeted study, while new-generation studies included 18 young-adult, 6 middle-aged, and 4 older-adult-targeted studies.Source: §3.4.1 · pp. 15–16

3.4.2 Meta-Analysis

• VRISE occurred in 4 of 22 new-generation studies, with 11 dropouts among 982 participants, versus 14 of 22 old-generation studies and 58 dropouts among 1,200 participants.No VRISE or dropouts occurred across the 11 commercial-version studies with ergonomic interactions and 546 participants.Source: §3.4.2 · p. 16
• New-generation HMD studies had less frequent VRISE (BF10 = 144.68; p < .001) and fewer dropouts (BF10 = 4.69; p < .05) than old-generation studies.New-generation commercial HMD studies had significantly less frequent VRISE than DK studies, but not significantly fewer dropouts; ergonomic-interaction studies had substantially less frequent VRISE and dropouts than non-ergonomic studies.Source: §3.4.2 · p. 16
• Across 44 studies, VRISE correlated negatively with HMD generation (r (44) = -0.56) and ergonomic interactions (r (44) = -0.42), while VRISE correlated positively with dropouts (r (44) = 0.68).Dropouts also correlated negatively with ergonomic interactions (r (44) = -0.41); all reported correlations had p < .001.Source: §3.4.2 · p. 17

3.5 Discussion

• Older HMD studies had more frequent VRISE than newer-generation studies, and VRISE frequency correlated negatively with HMD generation.Dropouts were positively correlated with VRISE presence.Source: §3.5 · p. 18
• Higher dropout counts in old-generation studies may partly reflect participants not returning for follow-up sessions for reasons unrelated to VRISE.The authors also suggest fixed intervals between sessions may have allowed rest and relief, potentially contributing to low dropout rates despite VRISE.Source: §3.5 · p. 18
• Anxiety, self-induced symptoms, and subjective or individual differences in VRISE reporting are possible alternative influences, which the authors expect to affect old- and new-generation studies similarly.Several old-generation studies concerned stress or recruited participants with stress disorders; new-generation studies also included comparable aims or populations.Source: §3.5 · pp. 18–19
• New-generation commercial HMD studies had significantly fewer VRISE than DK studies, while ergonomic interactions were associated with fewer VRISE and dropouts overall.No VRISE or dropouts occurred in commercial-version studies with ergonomic interactions, but ergonomic interactions did not appear to mitigate VRISE or dropouts in old-generation studies.Source: §3.5 · p. 19

4.1 Technological Competence in VR Neuroscience and Neuropsychology

• Old-generation HMDs and new-generation DKs were judged not to meet the review’s minimum hardware features for alleviating or preventing VRISE; software attributes such as ergonomic interactions are also important.The authors recommend HMD hardware at least equivalent to the HTC Vive and Oculus Rift alongside ergonomic-interaction software.Source: §4.1 · p. 19
• The authors describe software attributes, including ergonomic interactions, as equally vital alongside HMD hardware for reducing VRISE.They characterize naturalistic interactions as constrained by hardware and software capabilities in the paper’s glossary.Source: §4.1 · p. 19
• VR equipment costs may constrain HMD selection; the stated combined cost of an HMD and computer was $800–$1,900, while the authors note the standalone Oculus Quest as a lower-cost alternative meeting minimum hardware criteria.They also advise matching the HMD and software to research aims and movement requirements.Source: §4.1 · pp. 19–20
• Selecting and implementing appropriate HMDs and software requires technological competency, which the authors judged not well established in neuroscience studies conducted since 2016.Of 25 studies conducted from 2016 to 2019, 13 used an old-generation HMD or new-generation DK; the authors warn that VRISE may affect participant safety and result reliability.Source: §4.1 · p. 20

4.2 Limitations and Future Studies

• The meta-analysis covered diverse populations and designs, software details were rarely reported, and only six studies quantified VRISE intensity, so analyses considered symptom presence or absence.The authors call for clearer reporting of hardware, software, and VRISE, including symptom intensity and software quality.Source: §4.2 · p. 21

4.3 Conclusion

• New-generation commercial HMDs were associated with a more pleasant VR experience and reduced VRISE; the conclusion supports their use in cognitive neuroscience and neuropsychology.The authors emphasize ergonomic interactions, suitable locomotion and kinetic mechanics, and meticulous methods and technological competence.Source: §4.3 · pp. 21–22

• The primary author contributed to every aspect of the study; the remaining authors contributed to methodological aspects and discussion of the results.Source: §6 · p. 22