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Stereotype Content Model

The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence categorization, a person will feel...
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Counterfactual thinking is a cognitive process wherein individuals mentally reconstruct alternative versions of past events, often beginning with “what if” or “if only.” This reflective mechanism plays a significant role in shaping emotional experiences and guiding future behavior. Though typically triggered by unfavorable or unexpected outcomes, counterfactual thinking can also emerge in mundane, everyday decisions and experiences, revealing its deep entrenchment in human cognition.Types of...
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Related Experiment Video

Updated: May 8, 2026

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
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Published on: March 1, 2017

User emotional mechanisms and consumption conversion in AI-generated trend toy blind boxes.

Xueting Yang1, Xudong Bao2, Junqing Zhang3

  • 1Department of System Design, Russian State University A.H. Kosygin (Technology. Design. Art), Moscow, 115035, Russia.

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Summary

Consumers

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Area of Science:

  • Consumer Behavior
  • Artificial Intelligence
  • Psychology

Background:

  • The rise of AI-generated content (AIGC) and the "surprise economy" have influenced consumer behavior, particularly in the context of blind-box toys.
  • Blind-box toys are characterized by emotional stimulation and community-based diffusion, creating unique consumption patterns.
  • Understanding consumer motivations, such as conformity versus identification, is crucial in this evolving market.

Purpose of the Study:

  • To investigate the factors influencing purchase intention (PI) for blind-box toys within the context of AIGC.
  • To integrate the Stimulus-Organism-Response (SOR) framework and the Theory of Planned Behavior (TPB) to model consumer behavior.
  • To examine the roles of psychological expectations (PE), AI creation perception (AICP), conformity psychology (CP), and community belongingness (CB).

Main Methods:

  • A comprehensive model was constructed integrating PE (Novelty, Scarcity, Aesthetic Perception, Emotional Value, Product Identification), AICP, CP, and CB.
  • Data from 514 valid responses were analyzed using Structural Equation Modeling (SEM) and Artificial Neural Network (ANN).
  • The study examined the influence of these factors on Subjective Norm (SN), Perceived Behavioral Control (PBC), Attitude (AT), and ultimately PI.

Main Results:

  • Novelty, Aesthetic Perception, Emotional Value, Product Identification, AICP, and Scarcity significantly enhanced Subjective Norm.
  • Attitude, Subjective Norm, and Perceived Behavioral Control positively influenced Purchase Intention, with Attitude having the largest impact.
  • Community Belongingness moderated the relationships between Subjective Norm and Purchase Intention, and Perceived Behavioral Control and Purchase Intention.

Conclusions:

  • Consumer purchase intentions are driven by a combination of community norms, conformity tendencies, aesthetic preferences, and psychological identification with AI-generated content.
  • The study provides theoretical integration of psychological expectations, technology perception, and community mechanisms, supporting most hypotheses.
  • Practical strategies can leverage AIGC to enhance novelty-driven aesthetics, strengthen IP identification, and optimize community operations for marketing.