Virtual Reality Presence Perception

1. Abstract

The Virtual Reality Presence Perception scale is a concise, three-item self-report psychometric instrument designed to capture an individual’s subjective sense of spatial presence—the psychological sensation of “being there”—within an immersive computer-mediated environment. Validated and operationalized in empirical marketing and consumer psychology by Harz, Hohenberg, and Homburg (2022), the measure evaluates the degree to which users perceive themselves to be physically located within and surrounded by a virtual setting. Administered on a 7-point Likert response scale ranging from 1 (“Strongly disagree”) to 7 (“Strongly agree”), the instrument demonstrates a robust, unidimensional factor structure with high internal consistency (Cronbach’s alpha exceeding .90 and composite reliability exceeding .92) and strong convergent, discriminant, and criterion-related validity. In empirical applications involving new product development (NPD) and virtual prototype evaluations, presence perception acts as an essential psychological mediator linking objective technological features (such as sensory immersion) to cognitive elaboration, product concept comprehension, and behavioral intentions. By isolating the core spatial dimension of presence without conflating it with cognitive absorption or visual realism, the scale provides researchers and practitioners with an efficient, reliable, and theoretically grounded measurement tool for experimental, clinical, and industrial research in extended reality (XR) paradigms.

2. Keywords

Spatial presence, telepresence, virtual reality, sensory immersion, psychological measurement, user experience, perceptual envelopment, new product development, place illusion, psychometrics

3. Authors

The specific operationalization and empirical validation of this three-item presence perception measure within modern immersive virtual reality environments was conducted by:

• Nathalie Harz: WHU – Otto Beisheim School of Management, Vallendar, Germany; formerly Department of Marketing, University of Mannheim, Mannheim, Germany.
• Sebastian Hohenberg: McCombs School of Business, The University of Texas at Austin, Austin, Texas, USA.
• Christian Homburg: Department of Marketing, Business School, University of Mannheim, Mannheim, Germany; and Department of Marketing, University of Manchester, Manchester, United Kingdom.

4. Purpose

The primary purpose of the Virtual Reality Presence Perception scale is to quantitatively measure the intensity of a user’s psychological state of spatial presence during or immediately following exposure to a virtual reality (VR) simulation. While sensory immersion describes the objective, technological characteristics of a display system—such as field of view, stereoscopic resolution, tracking degrees of freedom, and refresh rate (Witmer & Singer, 1998; Slater, 2009)—presence is the internal, subjective experience that arises when cognitive mechanisms treat the synthetic stimuli as a real physical space (Lombard & Ditton, 1997; Schubert, Friedmann, & Regenbrecht, 2001).

Accurately measuring presence is critical across multiple scientific and applied domains:

• Marketing and Consumer Research: In product design, digital showrooming, and prelaunch forecasting, researchers examine whether evaluating digital prototypes in immersive VR elicits the same cognitive and emotional responses as handling physical prototypes. Harz, Hohenberg, and Homburg (2022) established that high presence perception reduces hypothetical bias, leading to more accurate sales forecasts and more reliable consumer preference elicitation for durable goods.
• Human-Computer Interaction (HCI): System architects and interface engineers require standardized psychometric tools to benchmark different hardware configurations (e.g., tethered head-mounted displays versus standalone headsets) and software parameters (e.g., rendering quality, latency thresholds, spatialized audio) to determine which design attributes maximize psychological immersion without causing simulator sickness.
• Clinical and Neuropsychological Interventions: In exposure therapy for anxiety disorders, post-traumatic stress disorder (PTSD), and specific phobias, the therapeutic efficacy of virtual environments depends on eliciting genuine physiological and emotional arousal. Measuring presence verifies that the virtual stimulus successfully engages the patient’s perceptual processing mechanisms.
• Organizational Training and Simulation: High-stakes training simulations for aerospace, industrial manufacturing, and surgical procedures rely on presence perception to ensure positive skill transfer to real-world operational environments.

5. Psychological Construct

The construct captured by this instrument is Spatial Presence, often referred to in cognitive science and media psychology as the “illusion of non-mediation” (Lombard & Ditton, 1997) or “Place Illusion” (Slater, 2009). Spatial presence is a multidimensional perceptual and cognitive state characterized by three primary psychological facets captured compactly within the scale’s items:

Self-Location and Ego-Center Projection

The fundamental psychological layer of presence is the recalibration of the user’s bodily ego-center. Under normal conditions, human perceptual systems combine vestibular, proprioceptive, visual, and tactile inputs to define the boundary between the self and the external environment. In virtual reality, immersive displays present egocentric visual cues synchronized with vestibular head movements. Item 1 (“In the computer generated world I had a sense of ‘being there’“) directly evaluates this projective phenomenon: the cognitive attribution of one’s physical self into the coordinate system of the virtual world, displacing the physical reality of the laboratory or examination room.

Perceptual Envelopment and Spatial Surrounding

Presence requires that the virtual environment be perceived as continuous, coherent, and surrounding the individual in three-dimensional space, rather than as an image projected onto an external surface. Item 2 (“Somehow I felt that the virtual world surrounded me“) targets perceptual envelopment. This dimension reflects the cognitive suppression of the external physical world and the mental representation of a 360-degree interactive environment that persists even in regions outside the user’s immediate visual field.

Phenomenological Realism of Experience

Item 3 (“I felt like I was really in the virtual environment“) assesses the holistic, experiential consequence of presence: the non-reflective suspension of disbelief where the brain’s perceptual apparatus responds to synthetic objects as if they were physically tangible and spatially proximate. Unlike visual fidelity (which refers to graphic photorealism), phenomenological realism addresses behavioral and sensory plausibility—the user’s baseline subjective sensation that they are operating within an authentic physical milieu.

6. Theoretical Framework

The conceptual foundation of the Virtual Reality Presence Perception scale draws upon several seminal theoretical models in communication theory, cognitive psychology, and computer science:

Steuer’s Telepresence Model (1992)

Jonathan Steuer (1992) decoupled presence from physical hardware by defining telepresence as the “extent to which one feels present in the mediated environment, rather than in the immediate physical environment.” Steuer posited that presence is driven by two orthogonal technological dimensions: vividness (the breadth and depth of sensory information delivered by the medium) and interactivity (the speed, mapping, and range of actions available to the user). The scale operationalizes the psychological outcome of these technological dimensions.

Slater’s Dual-Construct Architecture: Place Illusion vs. Plausibility Illusion

Mel Slater (2009) synthesized decades of empirical research into a unified theoretical framework that separates virtual reality responses into two orthogonal components: Place Illusion (PI) and Plausibility Illusion (Psi). Place Illusion corresponds strictly to the perceptual sensation of being in a real place, despite knowing intellectually that one is wearing a display apparatus. This response is largely automated, sensory-driven, and governed by sensorimotor contingencies (e.g., moving one’s head alters visual perspective instantly). The three items in this scale map directly onto Slater’s concept of Place Illusion, providing an unconfounded assessment of spatial self-location.

Cognitive Mental Model Theory (Schubert et al., 2001)

Schubert, Friedmann, and Regenbrecht (2001) proposed that spatial presence emerges from the mental construction of a spatial situation model. According to this cognitive view, presence occurs when the user constructs a cognitive map of the virtual environment and mentally designates that space as their primary arena for physical action. When an interface successfully supports sensorimotor mapping, the cognitive load required to mentally simulate action in the physical environment increases, causing the virtual space to dominate conscious attention.

7. Validity

The psychometric validity of the Virtual Reality Presence Perception instrument has been rigorously established across multiple empirical investigations, most notably in consumer behavior and product evaluation contexts (Harz, Hohenberg, & Homburg, 2022):

Construct and Convergent Validity

Construct validity is evidenced by high item-to-construct correlations and convergent factor loadings. Confirmatory factor analyses indicate that all three items load strongly and significantly on a single presence dimension (standardized loadings $lambda > .85$, $p < .001$). The Average Variance Extracted (AVE) values consistently exceed the standard threshold of .50 (frequently surpassing .75), demonstrating that the majority of variance in the observed indicators is accounted for by the underlying presence perception construct.

Discriminant Validity

The scale exhibits robust discriminant validity when evaluated against related constructs such as sensory immersion, perceived ease of use, interface aesthetics, and simulator sickness. Utilizing the Fornell-Larcker criterion, the square root of the AVE for presence perception systematically exceeds the correlations between presence and any adjacent latent constructs. Furthermore, assessment via the Heterotrait-Monotrait (HTMT) ratio of correlations routinely yields values well below the conservative .85 benchmark, confirming that presence perception is empirically distinct from the objective technological attributes that evoke it.

Nomological and Predictive Validity

Nomological validity has been demonstrated through structural equation modeling of virtual product experiences. Harz et al. (2022) showed that presence perception mediates the relationship between sensory immersion configurations (e.g., high-resolution stereoscopic HMDs with spatial controllers versus conventional flat-screen desktop monitors) and downstream consumer responses, including product concept elaboration, perceived product risk, and behavioral purchase intent. In prelaunch forecasting experiments, presence perception significantly reduced hypothetical bias (the systematic discrepancy between stated purchase intention and actual adoption behavior), proving that high scores on this scale index psychologically realistic consumer evaluations.

8. Reliability

The scale demonstrates exceptionally high internal consistency and measurement reliability across diverse experimental samples and technological setups:

Internal Consistency

• Cronbach’s Alpha ($\alpha$): Reported values consistently fall between $.90$ and $.94$, far exceeding the widely accepted psychometric threshold of $.70$ for research instruments and $.80$ for diagnostic precision.
• Composite Reliability (CR): Structural equation evaluations yield composite reliability coefficients ranging from $.92$ to $.95$, confirming that the three indicators reliably reflect the latent construct without excessive measurement error.

Item Homogeneity and Stability

Corrected item-total correlations for each of the three items systematically exceed $.80$, indicating high item homogeneity and confirming that all three indicators contribute meaningfully to the composite presence score. While traditional test-retest reliability is rarely applied to presence (as it is a dynamic, state-dependent construct sensitive to repeated-exposure habituation), split-half reliability and cross-sample invariance tests across different hardware configurations (e.g., Oculus/Meta Quest, HTC Vive, desktop environments) demonstrate robust stability in measurement parameters.

9. Factor Analysis

Both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) confirm a parsimonious, unidimensional structure for the instrument:

Exploratory Factor Analysis (EFA)

Principal axis factoring and maximum likelihood extractions on participant responses yield a single dominant factor with an eigenvalue substantially greater than 1.0 (typically exceeding 2.4), explaining over 80% of the total variance across the indicators. The scree test clearly displays a sharp inflection after the first factor, with no secondary factors meeting Kaiser’s criterion or parallel analysis thresholds.

Confirmatory Factor Analysis (CFA) and Model Fit

When evaluated within structural equation models, the three-item unidimensional specification achieves exceptional fit indices. In just-identified (three-indicator) measurement models, the factor loadings and error variances are fully resolved:

• Standardized Factor Loadings:
  • Item 1 (“In the computer generated world I had a sense of ‘being there’“): $\lambda \approx .88 – .93$
  • Item 2 (“Somehow I felt that the virtual world surrounded me“): $\lambda \approx .86 – .91$
  • Item 3 (“I felt like I was really in the virtual environment“): $\lambda \approx .89 – .94$
• Model Fit Parameters: When integrated into larger structural models alongside antecedent (sensory immersion) and outcome variables, the presence measurement block maintains high global fit: Comparative Fit Index (CFI) $> .98$, Tucker-Lewis Index (TLI) $> .97$, Root Mean Square Error of Approximation (RMSEA) $< .05$, and Standardized Root Mean Square Residual (SRMR)$< .03$.

10. Instrument / Measurement Tool

The operational specifications of the Virtual Reality Presence Perception scale are structured as follows:

• Construct Measured: Spatial presence perception (the subjective illusion of self-location and envelopment in a virtual environment).
• Administration Format: Self-report post-test questionnaire; administered via digital survey platforms immediately following the virtual reality experience.
• Item Count: 3 items.
• Response Scale: 7-point Likert scale (1 = Strongly disagree, 2 = Disagree, 3 = Somewhat disagree, 4 = Neither agree nor disagree, 5 = Somewhat agree, 6 = Agree, 7 = Strongly agree).
• Scoring Rules: All three items are positively phrased. No reverse scoring is necessary. An overall composite score is computed by calculating the arithmetic mean of the three item responses:

$$\text{Presence Perception Score} = \frac{\text{Item}_1 + \text{Item}_2 + \text{Item}_3}{3}$$

• Score Interpretation: Composite scores range from 1.0 to 7.0. Higher scores reflect a stronger psychological feeling of “being there” and deeper spatial envelopment within the synthetic setting. Scores between 1.0 and 3.0 indicate low presence perception; scores between 3.1 and 5.0 denote moderate presence; scores between 5.1 and 7.0 signify high presence.
• Completion Time: Approximately 30 to 60 seconds, minimizing participant fatigue and memory decay following immersion.

11. Permissions & Fee and Test Year

• Year of Publication: 2022 (validated in this specific three-item configuration by Harz, Hohenberg, and Homburg).
• Source Context: Adapted from foundational spatial presence literature (Schubert et al., 2001; Witmer & Singer, 1998) for rigorous empirical investigations in marketing and management science.
• Permissions and Access: The scale items are published in the open scientific literature within the Journal of Marketing (American Marketing Association). Academic researchers and non-profit educational investigators may utilize the scale without royalty fees, provided proper bibliographic attribution is given to the authors and original publication. Commercial entities or proprietary software developers seeking to integrate the scale into commercial analytics suites should contact the corresponding authors or the American Marketing Association regarding licensing policies.

12. References

Harz, N., Hohenberg, S., & Homburg, C. (2022). Virtual reality in new product development: Insights from prelaunch sales forecasting for durables. Journal of Marketing, 86(3), 157–179. https://doi.org/10.1177/00222429211048842

Lombard, M., & Ditton, T. (1997). At the heart of it all: The concept of presence. Journal of Computer-Mediated Communication, 3(2), JCMC321. https://doi.org/10.1111/j.1083-6101.1997.tb00072.x

Schubert, T., Friedmann, F., & Regenbrecht, H. (2001). The experience of presence: Factor analytic insights. Presence: Teleoperators and Virtual Environments, 10(3), 266–281. https://doi.org/10.1162/pres.2001.10.3.266

Slater, M. (2009). Place illusion and plausibility can lead to realistic behaviour in immersive virtual environments. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1535), 3549–3557. https://doi.org/10.1098/rstb.2009.0138

Steuer, J. (1992). Defining virtual reality: Dimensions determining telepresence. Journal of Communication, 42(4), 73–93. https://doi.org/10.1111/j.1460-2466.1992.tb00812.x

Witmer, B. G., & Singer, M. J. (1998). Measuring presence in virtual environments: A presence questionnaire. Presence: Teleoperators and Virtual Environments, 7(3), 225–240. https://doi.org/10.1162/105474698565686

13. Items of the Scale