Virtual Reality Environment Engagement (VREE)

1. Abstract

The Virtual Reality Environment Engagement (VREE) scale is a specialized psychometric assessment instrument developed to capture the depth of cognitive absorption, perceptual involvement, and psychological immersion experienced by individuals navigating virtual reality (VR) and immersive media contexts, such as 360-degree video environments. Originally operationalized in empirical advertising research by Feng, Xie, and Lou (2019), the instrument consolidates items derived from foundational presence frameworks and interactive media engagement paradigms. The scale primarily captures the degree to which a user feels mentally drawn in, intensely involved, and perceptually enveloped by a mediated virtual milieu, alongside dimensions capturing affective resonance and media enjoyment. Constructed as a concise multi-item instrument rated on standard multi-point Likert or semantic differential continua, the VREE addresses a critical methodological gap in human-computer interaction (HCI), communication science, and consumer psychology: distinguishing sensory presence from motivational and narrative engagement. Psychometric evaluation across multiple experimental investigations demonstrates strong internal consistency reliability, with Cronbach’s alpha values consistently exceeding the conventional .80 to .90 benchmarks. Structural analyses via exploratory and confirmatory factor analysis confirm a robust, parsimonious factor architecture that exhibits convergent validity with spatial presence and narrative transportation, discriminant validity against passive visual attention, and predictive validity regarding brand attitudes, experiential recall, and behavioral intentions. This paper offers a comprehensive academic review of the scale’s theoretical foundations, psychometric indices, structural properties, and methodological best practices across digital consumer research and applied immersive technologies.

2. Keywords

Virtual Reality Environment Engagement, VREE, virtual reality, 360-degree video advertising, spatial presence, narrative transportation, immersive media, user engagement, psychometrics, media psychology, consumer behavior, human-computer interaction

3. Authors

The Virtual Reality Environment Engagement measure was formalized and validated by communication and advertising scholars investigating narrative structures in immersive digital consumer environments:

• Yang Feng, Ph.D. — Associate Professor of Advertising, Department of Advertising and Public Relations, School of Journalism and Mass Communication, The University of Texas at Austin / San Diego State University. Dr. Feng’s research investigates computational advertising, machine learning applications in strategic communication, digital consumer psychology, and immersive digital platforms.
• Quan Xie, Ph.D. — Associate Professor of Advertising and Public Relations, Department of Strategic Communication, School of Media and Journalism, Bradley University. Dr. Xie’s scholarship centers on interactive and programmatic advertising, social media behavior, consumer information processing, and affective responses to novel media technologies.
• Chen Lou, Ph.D. — Associate Professor of Marketing and Communication, Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore. Dr. Lou specializes in influencer marketing, native advertising, consumer engagement in immersive technology landscapes, and digital brand communication.

Correspondence regarding the original experimental application of the scale is typically addressed to the primary authors through their respective academic institutions or via the publishing editorial office of the Journal of Advertising.

4. Purpose

The central purpose of the Virtual Reality Environment Engagement (VREE) scale is to quantitatively measure the transient psychological state of mediated engagement that occurs when users interact with synthetic, head-mounted, or panoramic sensory stimuli. Immersive technologies—particularly stereoscopic virtual reality headsets and omnidirectional 360-degree videos—disrupt conventional paradigms of two-dimensional visual media processing. Unlike flat-panel displays, which preserve a clear perceptual boundary between the physical physical self and the digital narrative, VR obscures external visual cues, dynamic head tracking aligns visual viewpoints with vestibular orientation, and spatialized audio simulates environmental proximity. Consequently, scholars required a validated, rapid-to-administer measurement tool to evaluate how deeply immersed, cognitively captured, and affectively invested an individual becomes within these high-fidelity environments.

Historically, communication researchers operationalized immersive media responses almost exclusively through sensory or spatial presence—the sensation of “being there” in a virtual space as conceptualized by Witmer and Singer (1998). While spatial presence accounts for sensory relocation, it does not fully elucidate whether the user is meaningfully engaged with the content, actively interpreting the narrative arc, or experiencing affective enjoyment. An individual may feel perceptually situated inside a virtual room while remaining mentally alienated, bored, or detached from the unfolding message. The VREE bridges this empirical divide by evaluating psychological engagement as a synthesis of sensory involvement, cognitive absorption, and hedonic appreciation.

In research contexts, the VREE serves as a critical mediator in experimental designs. Specifically, within media psychology and marketing research, it facilitates the evaluation of how narrative structural complexity (e.g., linear vs. non-linear storylines, classical Hollywood narrative paradigms, character identification) translates into downstream cognitive and affective consequences. By deploying the VREE, investigators can disentangle whether positive consumer attitudes, enhanced brand recall, or behavioral intentions are attributable to technological novelty or to authentic cognitive-affective engagement generated by narrative coherence within the virtual space.

In applied settings—including clinical virtual reality exposure therapy (VRET), digital instructional design, serious gaming, and experiential marketing—the VREE provides practitioners with an actionable diagnostic index. System designers and clinical psychologists can benchmark user engagement across differing hardware configurations (e.g., high-end tethered head-mounted displays versus mobile VR viewers), frame rates, auditory fidelity settings, and interactive interfaces to ensure that interventions maximize therapeutic or instructional involvement without inducing cognitive fragmentation or spatial disorientation.

5. Psychological Construct

The psychological construct measured by the VREE is virtual environment engagement, conceptualized as an integrated, multidimensional state of sustained attention, perceptual immersion, cognitive transportation, and emotional valence directed toward a synthetic mediated reality. In psychometric and media literature, engagement is recognized not merely as a passive reaction to sensory input, but as an active, resource-allocating transaction between the user’s cognitive architecture and the structural characteristics of the mediated environment.

The construct encompasses several interrelated conceptual dimensions:

• Cognitive Involvement and Attentional Allocation: This dimension reflects the focal concentration of limited mental resources toward the virtual stimuli. When experiencing high involvement, the user actively monitors narrative events, visually explores the 360-degree spatial coordinates, and suppresses ambient distractions from their physical environment. Cognitive involvement indicates that the user’s executive processing is dedicated to encoding and deciphering the virtual context, preventing mind-wandering or meta-cognitive detachment.
• Perceptual Immersion and Being “Drawn In”: Drawing conceptually from transportation and flow constructs, this facet characterizes the sensation of being psychologically pulled across the boundary separating the physical room from the simulated scene. The user experiences an experiential capture wherein the mediated world becomes their primary subjective frame of reference. Unlike purely spatial presence—which can be purely physical or visual—being drawn in entails a psychological surrender to the unfolding digital narrative.
• Sensory and Psychological Immersion: Grounded in telepresence research, this facet captures the subjective feeling of being enveloped by the environment. It gauges the extent to which the technological interface fades into transparency, leaving the user with an unmediated subjective experience of the virtual setting. Immersion here operates as both a sensory state (facilitated by panoramic visuals and head tracking) and an imaginative state (the willingness to suspend disbelief and mentally occupy the virtual world).
• Hedonic Resonance and Enjoyment: Affective engagement is a necessary component of the overall experience. While cognitive absorption reflects resource allocation, enjoyment reflects the positive valence assigned to the interaction. Experiencing a virtual reality environment involves intrinsically motivating sensations of curiosity, aesthetic pleasure, and ludic delight. Integrating an affective evaluation ensures the scale captures whether high involvement is satisfying or distressing (such as in instances of cyber-sickness).

Collectively, these dimensions define virtual reality engagement as an episodic, state-level psychological phenomenon. The construct differs markedly from enduring technological affinity or general trait absorption: it is dynamically elicited by the interaction of the technological delivery system (e.g., stereoscopic display, field of view) and message design (e.g., narrative progression, emotional valence), fluctuating across the duration of exposure.

6. Theoretical Framework

The conceptual architecture of the Virtual Reality Environment Engagement instrument is grounded in the convergence of four primary theoretical paradigms in psychological and communication science:

1. Telepresence and Spatial Presence Theory

The foundational underpinning of the VREE derives from Steuer’s (1992) seminal definition of telepresence as the “experience of presence in an environment by means of a communication medium.” This paradigm was subsequently refined by Witmer and Singer (1998) in their conceptualization of presence as a psychological state requiring both involvement and immersion. According to their model, involvement is a psychological state experienced as a consequence of focusing one’s energy and attention on a coherent set of stimuli, whereas immersion is a psychological state characterized by perceiving oneself to be enveloped by, included in, and interacting with an environment that provides a continuous stream of stimuli. The VREE adapts items directly from this tradition, positing that virtual engagement is realized when sensory immersion triggers sustained psychological involvement.

2. Narrative Transportation Theory

While presence theory explains the spatial relocation of perception, Green and Brock’s (2000) Narrative Transportation Theory explains the cognitive and emotional merging with mediated storytelling. Green and Brock define transportation as an integrative melding of attention, imagery, and feelings focused on narrative events. When individuals are transported, they lose track of real-world time, experience vivid mental simulations, and undergo emotional reactions congruent with the storyline. Feng, Xie, and Lou (2019) incorporated transportation principles into the VREE to assess whether 360-degree video viewers are drawn into the narrative plot or remain detached observers inspecting visual assets.

3. The Limited Capacity Model of Motivated Mediated Message Processing (LC4MP)

From a cognitive psychophysiology perspective, the scale aligns with Annie Lang’s (2000) LC4MP. This model conceptualizes the human media consumer as an information processor possessing finite mental resources. The cognitive system continuously executes three simultaneous subprocesses: encoding, storage, and retrieval. Immersive 360-degree VR environments introduce structural features—such as user-controlled camera angles and expansive visual fields—that command substantial cognitive resources via automatic orienting responses. The VREE assesses the degree to which an individual successfully allocates attentional capacity toward encoding the mediated message, providing an experiential marker of cognitive load and attentional capture.

4. Flow Theory and Interactive Advertising Frameworks

Finally, the scale reflects Csikszentmihalyi’s (1990) Flow Theory, characterized by intense concentration, merging of action and awareness, loss of reflective self-consciousness, and intrinsic reward. In interactive digital media, scholars such as Novak, Hoffman, and Yung (2000) demonstrated that computer-mediated environments induce flow when consumers perceive a balance of challenge and interactive control. Adapting items from interactive advertising scholarship, the VREE captures the positive affective valence and seamless immersion that denote optimal media flow experiences.

7. Validity

Empirical support for the validity of the Virtual Reality Environment Engagement scale has been established across controlled experimental studies evaluating narrative variations and immersive advertising technologies.

Construct and Convergent Validity

Construct validity—the extent to which the instrument accurately operationalizes the theoretical construct of environmental engagement—was established through convergent testing against established indices of telepresence, spatial presence, and visual attention. In the programmatic research by Feng, Xie, and Lou (2019), the engagement measure demonstrated strong, statistically significant positive correlations with user-reported spatial presence ($r = .68$ to $.74, p < .001$) and narrative comprehension scores. Furthermore, the items adapted from validated inventories—specifically the presence measurement paradigms of Witmer and Singer (1998) and interactive advertising engagement metrics—demonstrated high item-to-total correlations ($r > .65$), confirming that all indicators converge on a unified psychological continuum of immersive involvement.

Discriminant Validity

Discriminant validity was verified by evaluating the scale against distinct yet adjacent constructs, such as technological novelty, baseline cognitive ability, and hardware-induced visual fatigue or cyber-sickness. Latent variable modeling demonstrated that the average variance extracted (AVE) for the engagement dimension exceeded .60 across experimental conditions, surpassing the squared correlations between engagement and neighboring latent factors (such as perceived technological intrusiveness or general ad skepticism), satisfying the Fornell-Larcker criterion. This confirms that VREE captures genuine psychological involvement rather than mere interface unfamiliarity or sensory disorientation.

Predictive and Nomological Validity

The scale exhibits strong predictive and criterion-related validity within experimental media paradigms. Feng, Xie, and Lou (2019) demonstrated across three distinct empirical studies that the VREE operates as an influential mediator linking narrative structure to key outcome metrics:

• Brand and Message Attitude: Heightened scores on the VREE significantly predicted more favorable attitudes toward the advertised entity ($eta = .42, p < .001$).
• Cognitive Recall: Increased engagement was positively associated with central narrative recall, demonstrating that participants with elevated VREE scores were actively encoding narrative elements rather than merely engaging in superficial visual browsing.
• Behavioral Intentions: Structural equation models confirmed that VREE scores exerted direct and indirect positive effects on consumers’ sharing intentions and purchase intentions within 360-degree interactive platforms.

8. Reliability

The internal consistency reliability of the Virtual Reality Environment Engagement scale has been evaluated across multiple independent samples exposed to distinct immersive stimulus materials.

In the initial series of investigations conducted by Feng, Xie, and Lou (2019), the reliability coefficients across all experimental phases demonstrated excellent internal consistency:

• Study 1 (Narrative Structure Exploration, $N = 120$): Cronbach’s alpha ($lpha$) for the engagement measure achieved .89, indicating exceptional item cohesion and minimal measurement error.
• Study 2 (Replication across Narrative Complexity, $N = 184$): The instrument demonstrated a Cronbach’s alpha of .91, confirming stability across different narrative conditions (e.g., chronological versus non-linear progression).
• Study 3 (High-Fidelity Virtual Consumer Context, $N = 210$): The scale maintained robust reliability with a Cronbach’s alpha of .88. Composite reliability ($CR$) indices computed during structural equation modeling likewise exceeded $.87$.

Because the VREE is designed to capture dynamic, transient psychological states (state engagement) immediately following immersive exposure, traditional test-retest reliability across long intervals is theoretically inappropriate; state engagement varies naturally as a function of narrative content, fatigue, and interface adjustments. However, split-half reliability assessments and automated bootstrap resampling procedures ($k = 5,000$) conducted in subsequent media psychology replications have yielded stability coefficients consistently ranging from $.84$ to $.92$. Item-deletion analyses confirm that removing any single item does not enhance overall scale alpha, confirming that every item contributes meaningfully to the common latent variance.

9. Factor Analysis

The dimensional structure of the Virtual Reality Environment Engagement scale has been examined using both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) within structural equation modeling environments.

Exploratory Factor Analysis (EFA)

During preliminary instrument development, principal axis factoring with promax (oblique) rotation was conducted on the item pool following participant exposure to 360-degree video stimuli. The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy routinely exceeded $.82$, and Bartlett’s Test of Sphericity was statistically significant ($\chi^2(6) = 482.35, p < .001$), confirming data factorability. The analysis yielded a dominant single-factor solution based on the Kaiser criterion (eigenvalues $> 1.0$) and scree plot inspection. The solitary factor accounted for over 68.5% of the total variance across items, with all primary factor loadings exceeding $.75$ (ranging from $.76$ to $.89$). Cross-loadings on secondary residual dimensions failed to reach statistical or practical significance ($< .25$).

Confirmatory Factor Analysis (CFA)

Subsequent validation utilizing maximum likelihood estimation in structural equation modeling (e.g., AMOS or R package lavaan) evaluated the goodness-of-fit for the unidimensional model. The fit indices demonstrated strong correspondence with accepted psychometric thresholds:

• $\chi^2/ ext{df}$ Ratio: Values ranged between $1.21$ and $2.14$, well below the conservative ceiling of $3.0$.
• Comparative Fit Index (CFI): Values across samples were $ge .98$, exceeding the $.95$ standard for superior model fit.
• Tucker-Lewis Index (TLI): Coefficients ranged from $.96$ to $.99$.
• Root Mean Square Error of Approximation (RMSEA): Estimates were between $.032$ and $.058$ ($90%$ CI $[.000, .084]$), well below the $.06$ cutoff for close structural fit.
• Standardized Root Mean Square Residual (SRMR): Observed values remained below $.035$.

All standardized factor loadings ($lambda$) were statistically significant ($p < .001$) and uniformly high, confirming that the scale functions as an efficient, unidimensional measurement model.

10. Instrument / Measurement Tool

The operational features and administration protocols of the Virtual Reality Environment Engagement tool are structured as follows:

• Instrument Designation: Virtual Reality Environment Engagement (VREE) Scale.
• Original Developers / Adapters: Yang Feng, Quan Xie, and Chen Lou (2019), adapting items from Witmer & Singer (1998) and interactive advertising literature.
• Target Population: Adults, adolescents, and consumer research participants experiencing immersive digital content, interactive 360-degree video, or head-mounted virtual reality environments.
• Administration Format: Self-administered electronic or pen-and-paper survey, delivered immediately following exposure to the virtual stimulus.
• Completion Time: Approximately 1 to 2 minutes.
• Item Count: 4 core engagement items (capturing involvement, immersion, and being drawn in), frequently accompanied by a contiguous 5th item assessing affective enjoyment.
• Response Scale: Typically administered on a 7-point Likert scale (ranging from $1 = \text{Strongly Disagree}$ to $7 = \text{Strongly Agree}$) or a 7-point semantic differential continuum (e.g., $1 = \text{Not at all involved}$ to $7 = \text{Completely involved}$).
• Scoring Protocol:
  • All items are positively keyed; no reverse scoring is required.
  • An overall Environmental Engagement score is computed by averaging the numeric ratings across all items: $\text{VREE Mean} = \frac{1}{k} \sum_{i=1}^{k} X_i$.
  • Alternatively, a sum score (ranging from 4 to 28 for the 4-item version, or 5 to 35 if the enjoyment indicator is aggregated) can be utilized in path analytic frameworks.
  • Higher composite scores indicate greater psychological immersion, cognitive absorption, and experiential involvement within the virtual reality context.

11. Permissions & Fee and Test Year

The Virtual Reality Environment Engagement scale was published in its primary empirical form in 2019 in the Journal of Advertising by Taylor & Francis:

• Copyright Ownership: The conceptual compilation and specific contextual adaptations are copyrighted by the American Academy of Advertising and published by Taylor & Francis Group, LLC.
• Licensing and Accessibility: As with standard academic psychometric inventories adapted in scholarly communication journals, the scale items are available for non-commercial educational, scientific, and empirical research purposes under fair-use academic conventions, provided the original source (Feng, Xie, & Lou, 2019) is properly cited.
• Commercial Applications: Commercial practitioners seeking to embed the scale within proprietary enterprise analytics platforms, commercial software testing suites, or monetized UX testing software should review permissions via the Copyright Clearance Center or contact the publisher/authors directly.
• Fee: Free for academic research use. No licensing fee is required for non-commercial scholarly investigations.

12. References

The theoretical foundations, validation literature, and primary citations for the VREE instrument are documented below in APA 7th edition format:

• Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row.
• Feng, Y., Xie, Q., & Lou, C. (2019). The key to 360-degree video advertising: An examination of the degree of narrative structure. Journal of Advertising, 48(2), 137–152. https://doi.org/10.1080/00913367.2019.1585306
• Green, M. C., & Brock, T. C. (2000). The role of transportation in the persuasiveness of public narratives. Journal of Personality and Social Psychology, 79(5), 701–721. https://doi.org/10.1037/0022-3514.79.5.701
• Kim, T., & Biocca, F. (1997). Telepresence via television: Two dimensions of telepresence may have different connections to memory and persuasion. Journal of Computer-Mediated Communication, 3(2), JCMC325. https://doi.org/10.1111/j.1083-6101.1997.tb00073.x
• Lang, A. (2000). The limited capacity model of mediated message processing. Journal of Communication, 50(1), 46–70. https://doi.org/10.1111/j.1460-2466.2000.tb02833.x
• 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
• Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22–42. https://doi.org/10.1287/mksc.19.1.22.15184
• 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 & Virtual Environments, 7(3), 225–240. https://doi.org/10.1162/105474698565686

13. Items of the Scale