| What the user gets | Why it matters | |--------------------|----------------| | (seasonal, event‑specific, “just because”) | Saves time, keeps the doll feeling fresh. | | Emotion‑aware dialogue (cheerful, calming, adventurous) | Makes interactions feel more human‑like and supportive. | | Progress tracking – a “Style Diary” that shows favorite looks, mood trends, and suggestions over time | Encourages repeat play and creates a personal story. | | One‑tap “Surprise Me!” – random but curated combo | Adds surprise factor without overwhelming the user. |
export default function MoodSelector( onSuggestion ) const [selected, setSelected] = useState(null); your_dolls briana
| Feature | Core Idea | Main UI | Data Flow | Key Benefits | |---------|-----------|---------|-----------|--------------| | | Detect user mood → recommend season‑ and preference‑aware outfits + dialogue | Emoji Mood Picker → “Suggestion Card” with Outfit preview & “Try it” button | Mood Detector → Style Engine (rules + personal memory) → UI → Dress‑up + TTS | Faster, more personal play; higher engagement; data‑driven future upgrades | | What the user gets | Why it
| Component | Role | Key Inputs | Key Outputs | |-----------|------|------------|-------------| | | Reads the user’s current mood via voice tone, typed sentiment, or a quick emoji picker. | Voice transcript, text sentiment, emoji selection. | Mood tag ( happy , sad , energetic , relaxed , …). | | Style Engine | Matches mood + context (season, event, location) to outfit & accessory combos stored in the catalog. | Mood tag, date/season, user’s saved “favorite” tags, inventory. | Outfit ID, accessory IDs, suggested dialogue snippets. | | Personal Memory Store (optional but recommended) | Persists user‑specific preferences, past likes/dislikes, and “style fingerprint”. | Interaction logs, explicit “like/dislike” taps. | Personalized weighting for future suggestions. | | Presentation Layer | UI/UX that shows the suggestion and lets the user accept, tweak, or reject. | Outfit ID, accessory IDs, dialogue text. | Confirmation → triggers avatar dress‑up + spoken line. | | Analytics Dashboard (internal) | Tracks feature adoption, success rate, and helps fine‑tune the recommendation model. | Event logs, conversion (accept vs. reject). | Reports, A/B‑test results. | | | One‑tap “Surprise Me