W8media desire labSocial media rarely shows us just a toy. It connects cuteness, identity, belonging, and scarcity until attention becomes desire. This chatbox makes that influence path visible through experience.
Labubu is an “ugly-cute” character IP popularized through blind-box collecting. It also appears as a bag charm, styling signal, and social-media object—making it both a toy and a language of identity and community.
When recommendation feeds, unboxing videos, friend activity, and limited-release cues appear together, it becomes hard to tell: do I truly like this, or is the environment moving me? Traditional media-literacy materials explain concepts but rarely let people feel the process.
The primary audience is young consumers and collectors active on TikTok, Xiaohongshu, and Instagram. Stakeholders also include families, educators, brands, and content platforms.
Desire is rarely triggered by one ad. It often grows through emotional value, identity fit, community belonging, and FOMO. Visualizing that progression gives users space to reflect before acting.
Welcome to a 30-second experience: What Kind of Collector Are You?
The feed shows no prices or checkout buttons, only one hook: Which Monster Matches You?
The page says: Everyone has a favorite. This week's most shared type is Dream Collector.
This does not feel like a shop. It feels like a quiz, so I want to see my type.
Step one reframes shopping as self-discovery, matching identity construction in the research.
No purchase push appears here. The system only records willingness to enter the experience.
A bilingual, non-commerce simulation. Across seven stages, users experience content attraction, personality matching, social proof, and scarcity cues while an influence dashboard reveals how each psychological factor changes.
The prototype turns marketing research into an experiential consumer-insight tool for strategy classes, campaign pretests, youth media-literacy programs, and responsible-marketing workshops. Its differentiation is explaining conversion—not maximizing it.
Help users name an impulse, separate genuine liking from social pressure, and ask better questions before buying—while helping marketers and designers understand how emotion, identity, and community shape demand.