Tokenaffects
Tokenaffects refer to affective signals embedded in or associated with digital tokens used in interactive systems. They describe how tokens convey emotion or influence user perception and behavior.
They can be explicit metadata attached to tokens (mood tags, emotional intensity) or implicit signals derived
Mechanisms include visual design (color, shape), animation, sound, and social cues (rarity, ownership history). Tokenaffects influence
Measurement involves psychometric methods, behavioral proxies, and biometric indicators; data analysis and experiments such as A/B
Applications include loyalty tokens, social tokens on communities, gamified platforms, NFT-based mood tags, and reputation systems.
Critical considerations include cultural variability, context dependence, risk of manipulation, and privacy concerns. Tokenaffects intersect with