Haptic Imagery Vividness (Product-related)

1. Abstract

The Haptic Imagery Vividness (Product-related) scale is a specialized psychometric instrument developed within the domain of sensory marketing and consumer psychology to quantify the clarity, intensity, and subjective accessibility of imagined tactile sensations elicited during product evaluation. Formulated and validated by Christine Ringler, Nancy J. Sirianni, and Bowen Christenson (2021) in their foundational investigation published in the Journal of Retailing, this instrument addresses a critical gap in digital consumer behavior: the empirical assessment of mental tactile simulation in environments devoid of direct physical touch, such as e-commerce platforms, catalog merchandising, and audiovisual advertisements. The scale comprises a unidimensional, 3-item self-report battery operationalized along a 7-point Likert-type response continuum ranging from 1 (Not at all) to 7 (Extremely / Very much). Psychometric evaluation confirms that the scale exhibits robust internal consistency reliability (typically exceeding α = .90 across experimental cohorts), high convergent validity with subsequent measures of product evaluation, psychological ownership, and purchase intentions, and strong discriminant validity distinguishing tactile mental imagery from broader visual or auditory cognitive representations. Confirmatory factor analytic investigations demonstrate an optimal fit for a single latent construct capturing sensory simulation fluency and tactile perceptual clarity. By offering a concise, highly sensitive, and non-fatiguing operationalization, the instrument provides researchers and practitioners with an indispensable methodology for diagnosing how non-tactile sensory cues (such as consequential product sounds and high-resolution dynamic visuals) compensate for the absence of touch in modern interactive retailing environments.

2. Keywords

Haptic imagery vividness, mental simulation, sensory marketing, tactile perception, vicarious touch, e-commerce consumer behavior, grounded cognition, consequential product sounds, consumer psychology, psychometrics

3. Authors

The scale was developed and introduced by an expert team of academic researchers specializing in consumer psychology, retailing, and sensory modalities:

• Christine Ringler, Ph.D. — Assistant Professor of Marketing, Culverhouse College of Business, The University of Alabama, Tuscaloosa, Alabama, United States. Dr. Ringler’s research specializes in sensory marketing, multisensory processing, nonverbal marketing cues, and consumer-technology interfaces.
• Nancy J. Sirianni, Ph.D. — Associate Professor of Marketing and David Herer Research Fellow, Raymond A. Mason School of Business, William & Mary, Williamsburg, Virginia, United States. Her expertise centers on service environments, sensory customer experiences, retail dynamics, and emotional contagion.
• Bowen Christenson, Ph.D. — Assistant Professor of Marketing, College of Business, University of Louisville, Louisville, Kentucky, United States. His research examines auditory cues in retailing, consumer judgment and decision-making, and behavioral economics.

4. Purpose

In traditional retail environments, physical touch represents one of the most decisive sensory inputs governing consumer evaluation, risk reduction, and ultimate purchase behavior. Tactile examination enables individuals to assess material properties such as texture, weight, compliance (softness/firmness), thermal conductivity, and structural solidity. However, the contemporary commercial landscape is increasingly dominated by online shopping platforms, mobile applications, social commerce, and catalog retail where direct bodily engagement with physical goods is strictly precluded. Under such non-tactile conditions, consumers must rely extensively on cognitive proxies, notably mental simulation and vicarious sensory imagery, to forecast what possessing and utilizing the product would feel like.

The primary purpose of the Haptic Imagery Vividness (Product-related) scale is to provide a precise, psychometrically rigorous, and empirically sensitive index of the subjective clarity, sharpness, and ease with which a consumer constructs an imagined tactile representation of a product. Introduced in Ringler, Sirianni, and Christenson’s (2021) research on consequential product sounds, the tool was engineered to detect systematic shifts in consumer sensory processing induced by subtle environmental cues. Specifically, the authors demonstrated that naturalistic, consequential auditory feedback (such as the distinct, crisp click of a luxury pen or the substantial acoustic thud of a closing car door) can activate multimodal cognitive associations, cross-modally stimulating vivid haptic simulations in the consumer’s mind despite the total absence of physical contact.

In academic research, the instrument serves as a critical mediator variable in structural equation models exploring crossmodal correspondences, sensory compensatory mechanisms, and embodiment effects. It enables behavioral scientists to systematically assess whether multimodal stimuli (e.g., dynamic 3D visual models, haptic feedback actuators, or acoustic cues) effectively bridge the tactile deprivation gap inherent to digital consumer touchpoints. In applied industrial research, market researchers, user experience (UX) designers, and digital brand strategists utilize the scale to evaluate prototype digital interfaces, advertising campaigns, and interactive packaging designs. By assessing how vividly prospective consumers can mentally experience holding and handling products, organizations can optimize non-haptic collateral to heighten emotional attachment, psychological ownership, and conversion rates.

5. Psychological Construct

The construct captured by this instrument is product-related haptic imagery vividness. Within cognitive psychology and sensory neuroscience, imagery refers to the internal reactivation and manipulation of perceptual representations in the working memory in the absence of concurrent peripheral sensory stimulation. While visual imagery has historically dominated the literature (as operationalized by tools like Marks’s Vividness of Visual Imagery Questionnaire), sensory modalities such as olfaction, audition, and touch operate through distinct neurocognitive pathways. Haptic imagery involves the endogenous activation of the primary and secondary somatosensory cortices (SI and SII) along with the posterior parietal areas, simulating the proprioceptive, cutaneous, kinesthetic, and thermal feedback loops that would arise if physical contact were occurring.

In the context of consumer goods, haptic imagery is multidimensional in sensory content but functions as a unified cognitive construct reflecting subjective perceptual fidelity. It encompasses three interrelated facets:

• Clarity of Tactile Perception: The qualitative resolution with which an individual can visualize and mentally feel the surface texture, temperature, and material attributes of the object (e.g., imagining the brushed-metal cool sensation or the grain of organic leather).
• Functional and Kinesthetic Immersion: The mental simulation of dynamic product interaction, capturing what it feels like to physically hold, manipulate, balance, and operate the item in one’s hands over an extended temporal interval.
• Cognitive Simulation Fluency / Processing Ease: The subjective ease or cognitive accessibility experienced while generating these tactile simulations, reflecting whether the haptic mental representation emerges effortlessly or requires deliberate, strained mental computation.

Importantly, product-related haptic imagery vividness differs fundamentally from generalized Need for Touch (NFT; Peck & Childers, 2003). While NFT represents an enduring individual difference or trait variable indexing a person’s intrinsic motivation to acquire tactile information for instrumental or hedonic purposes, haptic imagery vividness is an episodic, state-level construct. It reflects the immediate, transient cognitive response of a consumer to a specific focal object or promotional stimulus within an experimental or naturalistic retail setting.

6. Theoretical Framework

The development of the Haptic Imagery Vividness scale is grounded in three converging psychological and neurobiological paradigms: grounded and embodied cognition, mental simulation theory, and crossmodal sensory integration.

Grounded and Embodied Cognition

Pioneered by cognitive neuroscientists such as Lawrence Barsalou (1999, 2008), the perceptual symbol systems framework posits that high-level human cognition is fundamentally anchored in modal sensory simulations rather than amodal, abstract propositions. When a person contemplates an object, understands language describing physical items, or observes an image of an artifact, the brain re-enacts the sensorimotor neural states that were active during historical physical interactions with that class of objects. In marketing contexts, observing a non-touch stimulus does not trigger a disembodied semantic calculation; instead, it reactivates bodily memories of weight, resistance, grip, and tactile friction. Ringler et al. (2021) leveraged this framework to assert that haptic imagery vividness is the explicit introspective readout of these embodied sensorimotor simulations running within the consumer’s motor and somatosensory cortices.

Mental Simulation Theory and Perceptual Fluency

Mental simulation theory (Taylor & Schneider, 1989; Elder & Krishna, 2012) suggests that when individuals generate vivid cognitive simulations of product consumption, they experience heightened processing fluency. As the ease of imagining interaction increases, the cognitive effort decreases, which individuals implicitly misattribute to positive product qualities, familiarity, and hedonic appeal. High vividness in mental simulation acts as a psychological bridge between contemplation and behavioral action, fostering downstream consequences such as elevated psychological ownership (Peck & Shu, 2009), willingness to pay, and purchase confidence.

Crossmodal Sensory Integration

The theoretical framework of Ringler, Sirianni, and Christenson (2021) heavily relies on the neuroscience of crossmodal sensory correspondence (Spence, 2011). Because humans inhabit an inherently multisensory environment, sensory modalities do not operate in isolated silos. Sensory cortex remapping demonstrates that auditory inputs reliably modulate activity in the somatosensory cortex. When a product generates a consequential sound—an intrinsic, functional acoustic output produced as a direct physical consequence of product operation (such as the distinct snip of precision scissors or the latching mechanism of a luxury handbag)—the auditory system delivers diagnostic data regarding physical density, tension, and material composition. These acoustic features feed directly into the tactile imagery generator, dramatically enhancing the vividness, ease, and clarity of imagined touch even when the physical hands remain completely motionless.

7. Validity

The empirical validity of the Haptic Imagery Vividness scale has been established through multiple rigorous laboratory and online experimental investigations, adhering to contemporary standards of psychometric testing.

Construct and Convergent Validity

Construct validity is evidenced by the scale’s sensitivity to experimental manipulations designed to influence sensory simulation. In the foundational studies conducted by Ringler et al. (2021), participants exposed to dynamic retail displays featuring high-fidelity consequential product sounds demonstrated statistically significant increases in haptic imagery vividness scores relative to control conditions devoid of sound or featuring non-consequential, ambient soundscapes. Convergent validity is highlighted by strong, theoretically coherent correlations with adjacent constructs:

• Perceived Psychological Ownership: Moderate to high positive correlations (typically r = .52 to .68, p < .001), corroborating the theoretical premise that vividly imagining holding a product triggers psychological possession.
• Product Evaluation and Attitudes: Significant positive associations with overall brand and product attitudes (r = .45 to .59, p < .001).
• Purchase Intentions: Robust predictive relationships, where haptic imagery vividness repeatedly functioned as a statistically significant mediator between acoustic presentation and purchase probability in multi-stage bootstrap mediation analyses (e.g., 95% bootstrap confidence intervals entirely excluding zero).

Discriminant Validity

Discriminant validity was established by distinguishing the haptic imagery construct from general visual imagery vividness and general processing fluency. While participants exposed to rich multimodal stimuli experienced elevated haptic vividness, their reported general visual vividness did not show identical trajectories when auditory cues specifically communicated tactile resistance rather than visual aesthetics. Furthermore, average variance extracted (AVE) analyses regularly satisfy the Fornell-Larcker criterion, with AVE estimates exceeding the squared correlation between haptic imagery vividness and alternative sensory or cognitive constructs (such as Need for Touch or general mood states).

8. Reliability

Reliability analyses across diverse sample demographics demonstrate that the 3-item Haptic Imagery Vividness scale possesses exceptional psychometric precision and internal consistency despite its brief length.

Internal Consistency

In the primary empirical investigations conducted by Ringler et al. (2021), the internal consistency of the instrument was tested across multiple discrete experimental studies involving hundreds of participants:

• Study Cohort 1: Cronbach’s alpha (α) was reported at an exceptional .95.
• Study Cohort 2: Cronbach’s alpha was documented at .94.
• Replication and Subsequent Investigations: Independent empirical replications in consumer psychology environments consistently yield Cronbach’s alpha coefficients ranging between .91 and .96, comfortably exceeding the widely accepted psychometric threshold of .70 (or .80 for basic research).
• Composite Reliability (CR): Structural equation modeling confirms composite reliability values well above .92, demonstrating that random measurement error is exceptionally low across the scale items.

Test-Retest and Cross-Stimulus Stability

Because the instrument measures a context-dependent mental state (the momentary vividness of simulation elicited by a specific promotional stimulus), traditional longitudinal test-retest reliability across weeks is not theoretically indicated. However, the scale exhibits high intra-session stability across counterbalanced stimulus presentations and homogeneous test items, showing average inter-item correlations exceeding r = .80.

9. Factor Analysis

The structural dimensionality of the 3-item Haptic Imagery Vividness battery has been thoroughly scrutinized using both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

Exploratory Factor Analysis (EFA)

Principal axis factoring and principal component analyses across experimental data sets consistently extract a single, dominant latent factor with an eigenvalue substantially exceeding 1.0 (typically ranging from 2.65 to 2.85). This solitary factor routinely accounts for 88% to 94% of the total shared variance among the three items. The scree test clearly displays an unequivocal single-factor cliff, with no secondary factors approaching an eigenvalue of 0.40. Standardized factor loadings across all three items are uniformly elevated:

• Item 1 (Clarity of imagined touch): Factor loadings consistently exceed λ = .90.
• Item 2 (Vividness of holding and using): Factor loadings typically range between λ = .92 and .96.
• Item 3 (Ease of physical sensation simulation): Factor loadings reliably range between λ = .88 and .93.

Confirmatory Factor Analysis (CFA)

When evaluated via confirmatory structural equation modeling, the unidimensional model demonstrates near-saturated or exceptional model fit indices across samples. Because a standard 3-item one-factor CFA model possesses zero degrees of freedom (just-identified), researchers frequently inspect two-stage measurement models alongside related constructs (e.g., psychological ownership, purchase intent). In these full measurement models:

• The Comparative Fit Index (CFI) consistently exceeds .98 (often reaching .99 to 1.00).
• The Tucker-Lewis Index (TLI) reliably exceeds .98.
• The Root Mean Square Error of Approximation (RMSEA) falls within the optimal boundary (< .05 or .06).
• The Standardized Root Mean Square Residual (SRMR) remains below .03.

These empirical findings definitively substantiate the single-factor, unidimensional architecture of the scale, confirming that the three items tap into an identical underlying latent cognitive phenomenon.

10. Instrument / Measurement Tool

The operational specifications of the Haptic Imagery Vividness (Product-related) instrument are structured as follows:

• Construct Measured: Product-related haptic imagery vividness (mental tactile simulation fidelity, clarity, and ease).
• Administration Format: Paper-and-pencil self-report or computer-assisted self-administered online survey (Qualtrics, Prolific, Amazon MTurk, laboratory software).
• Number of Items: 3 concise, self-contained questions.
• Response Continuum: 7-point Likert-type scale anchored from 1 = Not at all to 7 = Extremely / Very much.
• Scoring Procedure: The instrument contains no reverse-scored items. An overall haptic imagery vividness composite index is generated by calculating the arithmetic mean of all three items. Higher mean scores indicate greater mental tactile clarity and simulation ease.
• Completion Time: Approximately 30 to 45 seconds, making it ideal for multi-condition experimental designs with minimal participant fatigue.

11. Permissions & Fee and Test Year

The scale was formally published in academic literature in 2021 in the Journal of Retailing. As an academic psychometric instrument introduced within a peer-reviewed scholarly journal, the items are accessible without licensing fees for non-commercial educational, scientific, and scholarly research purposes, provided that appropriate bibliographic attribution is given to Ringler, Sirianni, and Christenson (2021). Commercial entities, market research agencies, or corporations seeking to embed the scale within proprietary enterprise consumer software, specialized commercial diagnostic suites, or revenue-generating platforms should consult the copyright policies of Elsevier and the Journal of Retailing or obtain direct guidance from the corresponding authors.

12. References

• Barsalou, L. W. (1999). Perceptual symbol systems. Behavioral and Brain Sciences, 22(4), 577-660. https://doi.org/10.1017/s0140525x99002149
• Barsalou, L. W. (2008). Grounded cognition. Annual Review of Psychology, 59(1), 617-645. https://doi.org/10.1146/annurev.psych.59.103006.093639
• Elder, R. S., & Krishna, A. (2012). The visual depiction effect in advertising: Facilitating embodied mental simulation through product orientation. Journal of Consumer Research, 38(6), 988-1003. https://doi.org/10.1086/661531
• Peck, J., & Childers, T. L. (2003). To have and to hold: The influence of haptic information on product judgments. Journal of Marketing, 67(2), 35-48. https://doi.org/10.1509/jmkg.67.2.35.18612
• Peck, J., & Shu, S. B. (2009). The effect of mere touch on perceived ownership. Journal of Consumer Research, 36(3), 434-447. https://doi.org/10.1086/598614
• Ringler, C., Sirianni, N. J., & Christenson, B. (2021). The power of consequential product sounds. Journal of Retailing, 97(2), 288-300. https://doi.org/10.1016/j.jretai.2020.10.007
• Spence, C. (2011). Crossmodal correspondences: A tutorial overview. Attention, Perception, & Psychophysics, 73(4), 971-995. https://doi.org/10.3758/s13414-010-0073-7
• Taylor, S. E., & Schneider, S. K. (1989). Coping and the simulation of events. Social Cognition, 7(2), 174-194. https://doi.org/10.1521/soco.1989.7.2.174

13. Items of the Scale