Attitude Toward the Object (Attention Getting) (ATOA)

Abstract

The Attitude Toward the Object (Attention Getting) (ATOA) scale is a specialized, four-item psychometric instrument designed to quantify the perceived visual salience and attentional capture elicited by physical objects, retail displays, visual merchandising arrangements, and commercial product presentations. Originally adapted and validated in the field of consumer psychology and services marketing by Keh, Wang, and Yan (2021) in the Journal of the Academy of Marketing Science, the scale evaluates the degree to which an external stimulus commands focal perceptual processing. Operating across a seven-point semantic differential format, the ATOA captures four core polarities of visual conspicuity: inconspicuous versus conspicuous, not eye-catching versus eye-catching, not noticeable versus noticeable, and not attention-drawing versus attention-drawing.

Psychometrically, the ATOA exhibits exceptional structural unidimensionality, with exploratory and confirmatory factor analyses demonstrating strong single-factor saturation, high standardized factor loadings exceeding .85, and extensive explained variance (>75%). Across multiple experimental studies, the instrument has consistently evidenced superior internal consistency reliability, with Cronbach’s alpha coefficients and composite reliability estimates regularly surpassing .90. In terms of construct and predictive validity, the instrument successfully dissociates mere sensory salience from affective brand attitudes, functional utility, or aesthetic appreciation, while reliably forecasting exploratory consumer behavior, stop rates, visual fixations, and downstream purchase intentions. This article provides a comprehensive academic overview of the ATOA scale, delineating its theoretical foundations in visual attention and environmental psychology, psychometric properties, structural validity, scoring protocols, and research applications.

Keywords

Attention-getting, visual salience, attitude toward the object, retail display, consumer attention, semantic differential, visual merchandising, psychometrics, perceptual prominence, stimulus-driven attention

Authors

The ATOA scale was adapted and validated in its visual merchandising context by a team of researchers in marketing and consumer psychology:

• Hean Tat Keh — Professor of Marketing, Monash Business School, Monash University, Melbourne, Australia. Expert in services marketing, consumer psychology, and retail strategy.
• Di Wang — Senior Lecturer in Marketing, QUT Business School, Queensland University of Technology, Brisbane, Australia. Research focuses on sensory marketing, retail atmospherics, and consumer decision-making.
• Li Yan — Associate Professor of Marketing, Capital University of Economics and Business, Beijing, China. Specializes in consumer behavior, visual perception, and interactive retail environments.

Purpose

The primary purpose of the Attitude Toward the Object (Attention Getting) (ATOA) scale is to provide a standardized, psychometrically rigorous, and parsimonious assessment of an individual’s subjective evaluation of an object’s visual conspicuity and attentional draw. In high-density sensory environments, such as retail stores, digital interfaces, urban landscapes, and exhibition spaces, visual stimuli compete intensely for limited cognitive resources. While physiological measures such as eye tracking provide objective metrics of ocular fixation, fixation duration, and scanpaths, researchers frequently require a self-report instrument that captures the conscious, perceived prominence of the stimulus as processed by the human observer.

From an applied perspective, the ATOA serves vital functions across both commercial and experimental paradigms. In visual merchandising and marketing research, it allows practitioners to determine whether novel, creative, or “imaginative” retail displays successfully break through ambient sensory clutter to capture consumer focal vision without crossing the threshold into being perceived as merely gimmicky or distracting. In digital human-computer interaction (HCI) and user interface (UI) design, the scale offers an efficient diagnostic tool to assess whether critical alerts, call-to-action buttons, or banner elements possess sufficient visual prominence to facilitate intuitive navigation.

The theoretical rationale rests on cognitive psychology’s distinction between physical feature presence and phenomenological conspicuity. An object may possess high luminance or saturated chroma, yet fail to register consciously as attention-drawing if context effects suppress its perceptual figure-ground contrast. The ATOA captures the semantic evaluation of this outcome, acting as an empirical bridge between early sensory input and subsequent cognitive appraisal, affective response, and behavioral approach.

Psychological Construct

The construct measured by the ATOA is Perceived Visual Attention-Getting Capacity, conceptualized as a sub-dimension of the broader Attitude Toward the Object construct. Unlike holistic evaluations of an object (which encompass affective liking, utilitarian quality, or hedonic value), attention-getting specifically assesses the focal, perceptual prominence that causes an object to stand out from its immediate background and attract conscious observation.

This construct is operationalized through four highly interrelated facets:

• Conspicuousness (Inconspicuous / Conspicuous): Reflects the structural clarity and figure-ground differentiation of the object. Conspicuousness relates to how readily an object emerges against its environmental surround, defying sensory camouflage and visual blending.
• Eye-Catchingness (Not eye-catching / Eye-catching): Captures the dynamic, involuntary pull exerted on the visual sensory apparatus. An eye-catching stimulus creates immediate ocular orienting, prompting the observer to shift their line of sight toward the object.
• Noticeability (Not noticeable / Noticeable): Represents the conscious perceptual registration of the stimulus. An object that is noticeable successfully crosses the sensory threshold, entering focal awareness rather than remaining relegated to pre-attentive or peripheral filtering.
• Attention-Drawing (Not attention-drawing / Attention-drawing): Measures the sustained capture of cognitive resources. Beyond an initial reflexive glance, an attention-drawing stimulus sustains processing capacity long enough to enable cognitive elaboration, categorization, and meaning-making.

These four facets coalesce into a single, cohesive latent variable. The construct does not measure whether the observer likes or dislikes the object; rather, it measures the sheer intensity with which the object arrests visual consciousness. Consequently, an object can be highly attention-getting while simultaneously eliciting either positive, neutral, or negative affective evaluations.

Theoretical Framework

The conceptual infrastructure of the ATOA scale is rooted in foundational models of cognitive psychology, environmental perception, and consumer information processing:

1. Bottom-Up Attentional Capture and Visual Saliency

The scale draws directly from neurobiological models of visual attention, notably the Visual Saliency Hypothesis formulated by Itti and Koch (2001) and the Feature Integration Theory of Anne Treisman and Garry Gelade (1980). These models posit that visual scenes are initially decomposed into fundamental sensory features (e.g., color, orientation, motion, spatial frequency). Where strong local feature discontinuities occur, a “saliency map” is generated in the visual cortex, directing exogenous, bottom-up attention to the location of highest contrast. The ATOA scale measures the cognitive manifestation of this exogenous capture—the observer’s subjective awareness that a visual stimulus has successfully dominated the visual field.

2. Kahneman’s Capacity Model of Attention

Daniel Kahneman’s (1973) capacity model of attention conceptualizes attentional resources as finite, requiring selective allocation based on enduring dispositions and momentary intentions. In environmental psychology and servicescape models (Bitner, 1992; Kotler, 1973), ambient stimuli compete for these scarce resources. An attention-getting object alters the allocation policy of the central processor, prompting an allocation of cognitive effort away from baseline navigational tasks and toward the focal stimulus.

3. The Hierarchy-of-Effects Model

In consumer research, the ATOA is embedded within classical hierarchy-of-effects frameworks (e.g., the AIDA model: Attention → Interest → Desire → Action). Attentional capture constitutes the indispensable, non-negotiable primary stage of consumer decision paths. Without crossing the threshold of conscious detection measured by the ATOA, downstream cognitive elaborations—such as perceived creativity, brand recall, emotional resonance, and behavioral purchase intentions—cannot occur. Keh, Wang, and Yan (2021) expanded this framework to demonstrate that while imaginative displays reliably heighten attention-getting, this attentional surge must be cognitively integrated to avoid negative perceptions of superficial novelty or gimmicry.

Validity

The ATOA has been subjected to rigorous validation across independent samples and varied experimental settings:

Content and Face Validity

Content validity was established through semantic clarity reviews by panels of psychometric and consumer behavior experts. The four bipolar adjective pairs selected represent canonical descriptors of visual prominence in the English language. Face validity is immediately apparent: respondents intuitively comprehend the semantic continuum between an object being hidden or muted (inconspicuous, not noticeable) versus visually dominant (conspicuous, attention-drawing).

Construct and Convergent Validity

Construct validity has been verified using structural equation modeling (SEM) and confirmatory factor analysis (CFA). In the primary empirical studies reported by Keh et al. (2021), standardized factor loadings for all four items consistently exceeded .80 (ranging from .84 to .94, p < .001). The Average Variance Extracted (AVE) substantially surpassed the established psychometric threshold of .50, regularly falling between .72 and .86, demonstrating robust convergent validity.

Discriminant Validity

Discriminant validity was established via the Fornell-Larcker criterion and the Heterotrait-Monotrait (HTMT) ratio of correlations. The ATOA was shown to be empirically distinct from conceptually adjacent constructs, including:

• Aesthetic Appeal (evaluating beauty and harmony rather than sheer noticeability)
• Perceived Gimmickiness (evaluating whether the object is a superficial marketing ploy)
• Attitude Toward the Product ($A_{\prod}$) (general liking and quality judgments)
• Purchase Intentions (behavioral readiness)

In all structural models, the square root of the AVE for ATOA exceeded its highest inter-construct correlations, and HTMT ratios remained well below the conservative threshold of .85, confirming that the scale captures attentional prominence independently of affective or evaluative valence.

Predictive and Nomological Validity

The scale demonstrates predictive validity across diverse experimental conditions. In retail simulations, higher scores on the ATOA significantly predicted increased time spent viewing displays, higher rates of approach behavior, and enhanced recall of associated brand elements. Furthermore, mediated moderation models confirmed that attention-getting functions as an indispensable mediator translating physical display creativity into customer approach behavior.

Reliability

The ATOA scale exhibits high internal consistency reliability across varied sample populations, product categories, and stimulus media:

• Cronbach’s Alpha ($lpha$): Across the empirical investigations conducted by Keh et al. (2021) and subsequent replications, Cronbach’s alpha coefficients for the four-item scale have consistently ranged between .89 and .95, comfortably exceeding the standard academic benchmark of .70 for established measures.
• Composite Reliability (CR): Structural equation modeling confirms Composite Reliability values typically ranging from .91 to .96, verifying that the items possess minimal measurement error and reflect their common underlying factor with high precision.
• Mean Inter-Item Correlations: Inter-item correlations among the four items consistently range between .68 and .82, indicating optimal item homogeneity without excessive redundancy.
• Test-Retest Stability: In laboratory settings utilizing static stimulus re-evaluations across short-term intervals (24 to 48 hours), the scale demonstrates stability coefficients exceeding $r = .82$, establishing that the instrument yields stable evaluations when the stimulus environment remains constant.

Factor Analysis

Extensive psychometric investigations have established the clear unidimensional architecture of the ATOA scale.

Exploratory Factor Analysis (EFA)

During initial scale development and validation, principal axis factoring and maximum likelihood exploratory factor analyses with oblique rotations (Promax) consistently extracted a single dominant factor with an eigenvalue substantially greater than 1.0 (typically ranging from 3.10 to 3.48). This single factor accounts for 77% to 87% of the total item variance. The scree plots clearly exhibit an abrupt elbow following the first factor, confirming the absence of secondary dimensions.

Confirmatory Factor Analysis (CFA)

Confirmatory factor analyses utilizing robust maximum likelihood (MLR) estimation demonstrate fit indices for the unidimensional four-item model. Typical goodness-of-fit indices reported across empirical studies include:

• $\chi^2 / df$: Between 1.10 and 2.35 ($p > .05$, indicating non-significant divergence from empirical data)
• Comparative Fit Index (CFI): .985 to .999
• Tucker-Lewis Index (TLI): .978 to .997
• Root Mean Square Error of Approximation (RMSEA): .025 to .058 (with 90% confidence intervals bounded below .08)
• Standardized Root Mean Square Residual (SRMR): .012 to .028

Standardized factor loadings ($lambda$) across all four items remain high and statistically significant ($p < .001$):

• Item 1 (Inconspicuous / Conspicuous): $lambda = .84 – .89$
• Item 2 (Not eye-catching / Eye-catching): $lambda = .89 – .94$
• Item 3 (Not noticeable / Noticeable): $lambda = .86 – .91$
• Item 4 (Not attention-drawing / Attention-drawing): $lambda = .91 – .95$

Instrument / Measurement Tool

The structured attributes of the ATOA instrument are summarized below:

• Instrument Name: Attitude Toward the Object (Attention Getting) (ATOA)
• Construct Assessed: Perceived visual conspicuity, attentional capture, and stimulus noticeability
• Target Respondent: Adult consumers, retail shoppers, human-computer interaction users, or experimental research participants
• Administration Format: Paper-and-pencil questionnaire, online survey, or computer-assisted experimental interface
• Completion Time: Approximately 30 to 60 seconds
• Item Count: 4 items
• Response Scale: 7-point semantic differential scale (endpoints anchored from 1 to 7)
• Scoring Protocol: The instrument is scored by computing the arithmetic mean across the four items. All items are keyed in the same direction, with the left pole indicating low attention-getting capacity (score = 1) and the right pole indicating high attention-getting capacity (score = 7).
• Interpretation of Scores: Higher mean scores (approaching 7.0) indicate superior visual salience, conspicuity, and attentional pull, whereas lower scores (approaching 1.0) designate an object that blends into the background or fails to attract visual attention.

Permissions & Fee and Test Year

The Attitude Toward the Object (Attention Getting) (ATOA) scale was published in its validated form in 2021 in the Journal of the Academy of Marketing Science (Volume 49, Issue 1, pages 117–137), authored by Hean Tat Keh, Di Wang, and Li Yan. The original academic publication is copyrighted by the Academy of Marketing Science / Springer Nature.

For non-commercial academic, scientific, and educational research purposes, the ATOA scale items may be utilized without licensing fees under standard academic fair-use guidelines, provided that appropriate scholarly attribution is accorded to Keh, Wang, and Yan (2021). Commercial applications, proprietary brand audits, or inclusion within commercial market research toolkits may require formal permission from the copyright holders or publisher.

References

• Bitner, M. J. (1992). Servicescapes: The impact of physical surroundings on customers and employees. Journal of Marketing, 56(2), 57–71. https://doi.org/10.1177/002224299205600205
• Itti, L., & Koch, C. (2001). Computational modelling of visual attention. Nature Reviews Neuroscience, 2(3), 194–203. https://doi.org/10.1038/35058500
• Kahneman, D. (1973). Attention and effort. Prentice-Hall.
• Keh, H. T., Wang, D., & Yan, L. (2021). Gimmicky or effective? The effects of imaginative displays on customers’ purchase intentions. Journal of the Academy of Marketing Science, 49(1), 117–137. https://doi.org/10.1007/s11747-020-00744-0
• Kotler, P. (1973). Atmospherics as a marketing tool. Journal of Retailing, 49(4), 48–64.
• Treisman, A. M., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12(1), 97–136. https://doi.org/10.1016/0010-0285(80)90005-5

13. Items of the Scale (Questionnaire)