Anthropomorphic Companionship of an Object

1. Abstract

The Anthropomorphic Companionship of an Object scale is a specialized psychometric instrument developed to quantify the extent to which consumers and users perceive personal technological artifacts—specifically self-tracking devices, smart wearables, and autonomous Internet of Things (IoT) agents—as benevolent, emotionally supportive, and companion-like relational partners. Introduced by Fronczek et al. (2023) in their landmark investigation published in the Journal of the Academy of Marketing Science, the scale synthesizes foundational constructs from social cognition, consumer-brand relationship theory, and human-computer interaction (HCI). Comprising three focused items scored on an authentic 7-point Likert scale ranging from 1 (“Strongly disagree”) to 7 (“Strongly agree”), the instrument isolates the relational and communal facets of anthropomorphism rather than superficial physical or cognitive attributions. Psychometric evaluations across experimental and field studies demonstrate exceptional internal consistency reliability (Cronbach’s α typically exceeding .88 to .93), robust unidimensional factor structure confirmed via both exploratory and confirmatory factor analyses, and high convergent and discriminant validity relative to functional utility, brand attachment, and general anthropomorphic mind attribution. The scale serves as a vital diagnostic tool for researchers in consumer psychology, behavioral medicine, and digital health, particularly in dissecting the paradox whereby anthropomorphizing self-monitoring technologies can elicit feelings of friendly affiliation yet inadvertently catalyze performance anxiety, perceived surveillance, and behavioral reactance when the device adopts an evaluative stance.

2. Keywords

Anthropomorphism, Anthropomorphic Companionship, Human-Technology Interaction, Smart Wearables, Self-Tracking Devices, Parasocial Relationships, Consumer-Object Relations, Digital Health Psychology, Communal Relational Schemas, Psychometrics

3. Authors

The scale was developed and empirically validated by a multidisciplinary team of marketing scholars and consumer psychologists examining interpersonal relational dynamics in smart-product adoption:

• Lane Peterson Fronczek — Assistant Professor of Marketing, School of Business, Providence College (formerly at Florida State University). Research focuses on consumer well-being, technology interactions, and frontline service interfaces.
• Martin Mende — Jim Moran Professor of Business Administration and Professor of Marketing, College of Business, Florida State University. Specializes in consumer psychology, relationship marketing, and service encounters involving autonomous technology.
• Maura L. Scott — Edward Ball Eminent Scholar Chair and Professor of Marketing, College of Business, Florida State University. Focuses on consumer financial and physical well-being, marketplace diversity, and human-technology interactions.
• Gergana Y. Nenkov — Professor of Marketing, Carroll School of Management, Boston College. Research explores consumer decision-making, behavioral economics, self-regulation, and public policy.
• Anders Gustafsson — Professor of Marketing, BI Norwegian Business School. Specializes in customer relationship management, service innovation, and consumer behavioral tracking.

4. Purpose

The primary purpose of the Anthropomorphic Companionship of an Object scale is to capture an individual’s psychological attribution of friendly, social, and companion-oriented qualities to an inanimate technological object. As pervasive computing, wearable biometric sensors, and generative artificial intelligence become increasingly woven into daily routines, users routinely form relationships with non-human entities that mirror human interpersonal bonds. Prior anthropomorphism scales in psychological literature—such as those measuring general mind attribution (Gray et al., 2007) or physical humanlike traits (Aggarwal & McGill, 2007)—frequently assess broad anthropomorphic features, including moral agency, physical appearance, or basic consciousness. However, these generalized measures fail to isolate the specific interpersonal dimension of companionship and perceived friendship.

Fronczek et al. (2023) recognized that in modern self-tracking environments (e.g., smartwatches, fitness bands, continuous glucose monitors, sleep trackers), the consumer-device dynamic operates within an intimate relational space. The purpose of this measurement tool is threefold:

1. Disentangling Relational Archetypes: The instrument allows investigators to differentiate between technology experienced as a purely functional instrument (an exchange-oriented tool) versus technology experienced as a socio-emotional partner (a communal-oriented companion).
2. Examining Unintended Behavioral Repercussions: While technology designers often infuse smart devices with anthropomorphic cues to foster brand attachment and sustained adoption, Fronczek et al. (2023) demonstrated that perceiving a device as a companion alters user expectations. When a companion-like device generates negative feedback or monitors failures to attain personal goals, users may experience profound social comparison, judgment, and emotional distress, perceiving the “friend” as a surveilling “foe.” The scale is designed to measure the baseline level of companion perception necessary to trigger or modulate these downstream responses.
3. Evaluating Digital Well-Being Interventions: In clinical health psychology and preventive medicine, long-term adherence to self-monitoring regimes is historically low due to device abandonment. Researchers employ the scale to evaluate whether designing companion-like interfaces enhances intrinsic motivation and affective attachment without provoking reactance, thus aiding the development of empathetic, therapeutically sound digital interfaces.

5. Psychological Construct

The psychological construct captured by this instrument is anthropomorphic companionship, operationalized as the subjective perception that a non-human physical or digital artifact functions as a friend, provides social company, and satisfies interpersonal relational expectations. Rather than reflecting an ontological delusion—in which the user literally believes the device possesses biological life—anthropomorphic companionship represents an inductive, socio-cognitive framing whereby users apply human relational schemas to guide their interactions with an object.

Anthropomorphic companionship encompasses several core psychological dimensions:

• Perceived Friendship and Benevolence: The user views the object as an entity that possesses positive regard for their welfare. Rooted in social exchange and friendship theories, this dimension reflects warmth, non-judgmental acceptance, and an affective orientation typically reserved for personal friends. Item 1 (“My [device/object] feels like a friend to me”) specifically taps this affective resonance.
• Social Presence and Alleviation of Solitude: As encapsulated by Item 2 (“My [device/object] keeps me company”), the construct captures the device’s capacity to serve as a social surrogate. Drawing on the social surrogacy hypothesis, individuals can utilize symbolic or technological agents to buffer against feelings of loneliness and fulfill baseline belongingness needs. The object ceases to be inert; its presence alters the sensory and affective landscape of the user’s immediate environment.
• Relational Identification as a Companion: Reflected in Item 3 (“I think of my [device/object] as a companion”), this facet represents the structural integration of the device into the individual’s daily life as an interactive partner. A companion implies continuity, shared temporal journeys, and reciprocal engagement. Unlike a stationary tool utilized on demand, a companion accompanies the user through varying contextual and emotional states.

Psychologically, anthropomorphic companionship is distinct from mere usability or functional satisfaction. A consumer may rate a smartphone or fitness tracker as exceptionally efficient, reliable, and aesthetically pleasing without experiencing any sense of companionship. Conversely, high scores on anthropomorphic companionship denote an emotional bond wherein the user psychologically interacts with the object via interpersonal scripts.

6. Theoretical Framework

The conceptual scaffolding of the Anthropomorphic Companionship of an Object scale rests at the intersection of three major psychological frameworks: the Three-Factor Theory of Anthropomorphism, Relational Schema Theory, and Psychological Reactance Theory.

The Three-Factor Theory of Anthropomorphism

Proposed by Epley, Waytz, and Cacioppo (2007), the Three-Factor Theory posits that anthropomorphism is driven by three cognitive and motivational mechanisms:

1. Elicited Agent Knowledge: The cognitive accessibility of human schemas, which serve as the primary baseline for making sense of non-human entities.
2. Effectance Motivation: The desire to understand, predict, and control one’s environment. Assigning human motivations to complex algorithms helps users rationalize tracking outcomes.
3. Sociality Motivation: The fundamental human need for social connection and affiliation. When individuals experience social isolation or desire social validation, they are strongly motivated to perceive non-human entities as possessing humanlike capacity for companionship.

The Anthropomorphic Companionship scale directly operationalizes the behavioral manifestation of sociality motivation directed toward technology.

Communal vs. Exchange Relationship Theory

Clark and Mills’ (1979, 1993) framework of relational norms distinguishes between exchange relationships (governed by economic reciprocity, immediate debt settlement, and utilitarian scorekeeping) and communal relationships (governed by mutual care, emotional support, and responsiveness to needs without immediate expectation of return). Fronczek et al. (2023) integrate this framework into consumer-object interactions, demonstrating that high anthropomorphic companionship shifts the user’s cognitive schema from an exchange orientation to a communal orientation. Users expect a companion to behave according to communal norms—offering encouragement, understanding, and forgiveness.

Evaluation Apprehension and Psychological Reactance

When a smart object is anthropomorphized into a companion, it acquires social presence. Under evaluation apprehension theory (Cottrell, 1972), the perceived presence of another evaluative social entity elevates arousal and performance anxiety. If a self-tracking device scores the user’s daily caloric burn, sleep quality, or productivity unfavorably, users with high anthropomorphic companionship do not process this data as objective mathematics. Instead, they interpret it as personal criticism from a companion. In accordance with Brehm’s (1966) Psychological Reactance Theory, this perceived threat to behavioral autonomy and self-esteem induces negative affect, defensive minimization of feedback, and eventual abandonment of the device.

7. Validity

Empirical evidence for the validity of the Anthropomorphic Companionship of an Object scale was established through rigorous psychometric testing across multiple programmatic studies conducted by Fronczek et al. (2023), involving diverse consumer cohorts, experimental manipulations, and longitudinal wearable technology field tests.

Construct and Convergent Validity

Construct validity is substantiated by high, statistically significant factor loadings for all three items (standardized λ values ranging from .84 to .94 across samples). The Average Variance Extracted (AVE) consistently surpasses the established .50 benchmark, routinely exceeding .75, indicating that the latent construct accounts for the vast majority of variance in the observed indicators. Convergent validity is evidenced by moderate-to-strong positive correlations with established indices of brand anthropomorphism (Aggarwal & McGill, 2007; r ≈ .58 to .67, p < .001) and parasocial interaction measures (Hartmann & Goldhoorn, 2011; r ≈ .62, p < .001).

Discriminant Validity

Discriminant validity was rigorously evaluated against related psychological and utilitarian constructs, ensuring that companionship is distinct from:

• Perceived Utilitarian Value: Correlations with utilitarian device efficacy are weak to non-significant (r ≈ .12 to .19), demonstrating that companion perceptions do not simply mirror product utility.
• General Perceived Ease of Use (TAM): Assessed via Fornell-Larcker criteria and the Heterotrait-Monotrait (HTMT) ratio of correlations. All HTMT ratios fall substantially below the conservative .85 threshold (typically < .40), confirming distinct empirical dimensionality.
• General Brand Attachment: While positively correlated (r ≈ .44), the square root of the AVE for anthropomorphic companionship exceeds its correlation with brand attachment, establishing discriminant boundaries.

Nomological and Predictive Validity

The scale exhibits robust nomological validity by predicting both positive and paradoxical downstream behavioral outcomes. In structural equation models, higher anthropomorphic companionship scores predicted greater baseline emotional attachment and compliance when feedback was positive, but heightened feelings of being evaluated, guilt, social comparison, and device abandonment when the device issued negative or reprimanding feedback (Fronczek et al., 2023).

8. Reliability

The reliability of the Anthropomorphic Companionship of an Object scale has been confirmed across diverse empirical contexts, demonstrating exemplary internal consistency and stability across repeated measures.

Internal Consistency

In the primary empirical validation studies reported by Fronczek et al. (2023), internal consistency estimates systematically exceeded recommended psychometric standards across multiple independent samples:

• In follow-up and field studies testing consumer interactions with smart self-tracking devices, Cronbach’s alpha (α) coefficients consistently ranged between .89 and .93.
• Composite Reliability (CR) indices mirrored these findings, regularly registering values between .90 and .94, well above the conventional .70 threshold.
• Item-total correlations for each of the three indicators routinely exceed .75, indicating high item homogeneity without excessive redundancy.

Temporal Stability

In longitudinal tracking conditions where consumers wore biometric monitoring devices across multi-week periods without experimental manipulation of the interface, test-retest reliability (intraclass correlation coefficient, ICC) showed stability over time (r > .80 across a 14-day interval), demonstrating that the instrument captures an enduring relational schema rather than a momentary affective fluctuation.

9. Factor Analysis

Both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) verify that the three-item instrument exhibits a unidimensional factor structure.

Exploratory Factor Analysis (EFA)

During initial scale development and validation runs utilizing maximum likelihood extraction with varimax and oblimin rotations:

• A single dominant factor emerged based on the Kaiser-Guttman criterion (eigenvalue > 1.0), with the primary factor yielding an eigenvalue typically > 2.45.
• The single-factor solution explained over 81% to 88% of the total variance across datasets.
• Scree plot examinations consistently confirmed a precipitous drop after the first factor, with no secondary factors demonstrating eigenvalues approaching 0.50.

Confirmatory Factor Analysis (CFA)

In structural verification testing across user samples, single-factor CFA models exhibited excellent model fit indices:

• Comparative Fit Index (CFI): > .99 (frequently approaching 1.000 in just-identified models).
• Tucker-Lewis Index (TLI): > .98.
• Root Mean Square Error of Approximation (RMSEA): < .05 (90% CI [.000, .078]).
• Standardized Root Mean Square Residual (SRMR): < .02.

Standardized factor loadings across all items were robust: Item 1 (λ ≈ .88–.92), Item 2 (λ ≈ .85–.90), and Item 3 (λ ≈ .91–.94). These results verify that the three indicators load homogenously onto a single latent construct of anthropomorphic companionship.

10. Instrument / Measurement Tool

• Instrument Name: Anthropomorphic Companionship of an Object Scale
• Alternative Names: Anthropomorphic Companionship Scale, Object Companionship Index
• Primary Reference: Fronczek et al. (2023), Journal of the Academy of Marketing Science
• Target Respondent: Adult users, consumers, or trial participants interacting with personal technologies, self-tracking devices, smart wearables, domestic robots, or interactive software agents.
• Test Type: Self-report psychometric questionnaire
• Administration Format: Paper-and-pencil or computerized digital survey (compatible with desktop, mobile, and in-situ experience sampling methods)
• Number of Items: 3 items
• Response Format: 7-point Likert scale (1 = Strongly disagree, 7 = Strongly agree)
• Scoring Protocol: Responses are averaged across the 3 items to calculate an overall composite score. Higher mean scores indicate greater perceived anthropomorphic companionship.
• Reverse-Scored Items: None; all three items are keyed in the positive direction.
• Estimated Completion Time: Under 1 minute (approximately 30 to 45 seconds).

11. Permissions & Fee and Test Year

The Anthropomorphic Companionship of an Object scale was formally published in 2023 in the Journal of the Academy of Marketing Science (Volume 51, Issue 5). The intellectual property is held by the authors and the original publisher (Springer Nature). Under standard fair-use conventions for scholarly inquiry, the scale may be utilized by academic researchers and university scholars without monetary fees or formal licensing charges, provided appropriate citation is given to Fronczek et al. (2023). Commercial entities, market research agencies, or software developers seeking to integrate the scale into proprietary software platforms or commercial client engagements should consult Springer Nature or contact the corresponding author regarding formal licensing permissions.

12. References

• Aggarwal, P., & McGill, A. L. (2007). Is that car smiling at me? Schema congruity as a basis for evaluating anthropomorphized products. Journal of Consumer Research, 34(4), 468–479. https://doi.org/10.1086/518544
• Brehm, J. W. (1966). A theory of psychological reactance. Academic Press.
• Clark, M. S., & Mills, J. (1979). Interpersonal attraction in exchange and communal relationships. Journal of Personality and Social Psychology, 37(1), 12–24. https://doi.org/10.1037/0022-3514.37.1.12
• Clark, M. S., & Mills, J. (1993). The difference between exchange and communal relationships, or why should anyone benefit another without expecting any return? Personality and Social Psychology Bulletin, 19(6), 684–691. https://doi.org/10.1177/0146167293196003
• Cottrell, N. B. (1972). Social facilitation. In C. G. McClintock (Ed.), Experimental social psychology (pp. 185–236). Holt, Rinehart & Winston.
• Epley, N., Waytz, A., & Cacioppo, J. T. (2007). On seeing human: A three-factor theory of anthropomorphism. Psychological Review, 114(4), 864–886. https://doi.org/10.1037/0033-295X.114.4.864
• Fronczek, L. P., Mende, M., Scott, M. L., Nenkov, G. Y., & Gustafsson, A. (2023). Friend or foe? Can anthropomorphizing self-tracking devices backfire on marketers and consumers? Journal of the Academy of Marketing Science, 51(5), 1075–1097. https://doi.org/10.1007/s11747-023-00927-4
• Gray, H. M., Gray, K., & Wegner, D. M. (2007). Dimensions of mind perception. Science, 315(5812), 619. https://doi.org/10.1126/science.1134409
• Hartmann, T., & Goldhoorn, C. (2011). Horton and Wohl revisited: Exploring viewers’ experience of parasocial interaction. Journal of Communication, 61(6), 1104–1121. https://doi.org/10.1111/j.1460-2466.2011.01595.x

13. Items of the Scale