Technology-imagery-perception (TIP) model¶

Theory · All theories
Evidence · 4 claims (4 for) · 1 study (1 associational), q2 · 1 of 1 report an effect size · 4 claims rest on one study

Description¶

The TIP model is "a psychological perception model rather than a design-performance model" organizing audience reception of digitally framed traditional art in three layers: a technology layer of perceived immersive, interactive, and distributed affordances; an imagery layer of sensible scene, imaginable atmosphere, and virtual-real imagination; and a response layer of emotional resonance, cognitive evaluation, and behavioral intention, with technology acceptance as an attitudinal moderator. It separates perceived system capability from artwork quality and respondent response, improving conceptual alignment with media psychology.

Design Implications¶

Context¶

Requirements¶

• Measurement must keep distinct referents: technology-affordance items describe system capabilities, imagery items describe artwork qualities, and response items describe respondent states, per the article's item-level referent rule

Constraints¶

• The article states it should be treated as a cross-sectional explanatory framework to be tested longitudinally or experimentally, not as a confirmed causal sequence; it concerns respondents' subjective perceptions, not objective performance of VR, AR, NFT, or blockchain systems

Target Learners¶

• online audiences of digital heritage and lacquer art
• museum visitors

Target Learning Objectives¶

• aesthetic perception of traditional art
• interpretive understanding and cultural association
• behavioral intention to share, revisit, or participate

Claims¶

• Perceived Digital Affordances Associated With Lacquer Imagery Characteristics [+M]
• Imagery Characteristics Associated With Aesthetic Responses [+M]
• Serial Indirect Association Sensible Scene To Behavioral Intention [+M]
• Technology Acceptance Moderates Vr Imagination Behavioral Intention [+M]

Related Theories¶

• Three-hypothesis framework for the neural relationship between visual imagery and visual perception

Examples¶

• Use audience-perception associations to set design priorities for digital lacquer-painting experiences, pending evaluation with real interfaces

Key Sources¶

• Liu Yuanyuan. (2026). Audience attitudes and aesthetic perception of digitally empowered contemporary lacquer painting: a survey-based technology-imagery-perception model. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2026.1866076