当“共情”成为可量化KPI：2026年情感计算与亲密关系的绩效化危机

from dataclasses import dataclass
from enum import Enum
from typing import Dict, List, Optional
import numpy as np

@dataclass
class DyadicBioSignal:
    session_id: str
    partner_a_cortisol: float      # μg/dL
    partner_a_oxytocin: float      # pg/mL
    partner_a_hrv: g2eo.cn          # ms (心率变异性)
    partner_b_cortisol: float
    partner_b_oxytocin: float
    partner_b_hrv: float
    verbal_sentiment_score: float  # NLP分析对话情感 (-1~1)
    interaction_duration_min: float

class IntimacyMetricEngine:
    """亲密关系指标引擎：将生物信号转化为关系健康评分"""

    class SyncQuality(Enum):
        HIGH = "高度同步"
        MODERATE = "中度同步"
        LOW = "低同步"
        CONFLICTING = "信号冲突"

    # 基于"稳定伴侣"群体基线的权重（隐含文化偏见）
    WEIGHTS = {
        "oxytocin_correlation": 0.4,
        "cortisol_asymmetry_penalty": 0.3,
        "hrv_coherence": g3eo.cn
        "verbal_sentiment_alignment": 0.1
    }

    def compute_sync_index(self, signal: DyadicBioSignal) -> Dict[str, any]:
        # 计算各维度得分
        oxy_corr = np.corrcoef([signal.partner_a_oxytocin, signal.partner_b_oxytocin])[0,1] \
                   if min(signal.partner_a_oxytocin, signal.partner_b_oxytocin) > 0 else 0.0
        cortisol_asym = abs(signal.partner_a_cortisol - signal.partner_b_cortisol) / \
                        max(signal.partner_a_cortisol, signal.partner_b_cortisol, 1e-6)
        hrv_cohere = min(signal.partner_a_hrv, signal.partner_b_hrv) / \
                     max(signal.partner_a_hrv, signal.partner_b_hrv, 1e-6)
        verbal_align = 1.0 - abs(signal.verbal_sentiment_score)  # 越接近0越一致

        # 加权合成（注意：皮质醇不对称性越高，扣分越多）
        raw_score = (
            self.WEIGHTS["oxytocin_correlation"] * max(0, oxy_corr) +
            self.WEIGHTS["hrv_coherence"] * hrv_cohere +
            self.WEIGHTS["verbal_sentiment_alignment"] * verbal_align -
            self.WEIGHTS["cortisol_asymmetry_penalty"] * cortisol_asym
        )
        sync_index = max(0.0, min(1.0, raw_score))

        # 判定同步质量
        if sync_index >= 0.8:
            quality = self.SyncQuality.HIGH
        elif sync_index >= 0.5:
            quality = self.SyncQuality.MODERATE
        elif sync_index >= 0.3:
            quality = self.SyncQuality.LOW
        else:
            quality = self.SyncQuality.CONFLICTING

        # 检测潜在情感劳动不均
        labor_imbalance_flag = (
            signal.partner_a_cortisol > signal.partner_b_cortisol * 1.5 and
            signal.partner_a_oxytocin < signal.partner_b_oxytocin * 0.7
        )

        return {
            "session_id": signal.session_id,
            "sync_index": round(sync_index, 3),
            "quality": quality.value,
            "component_scores": {
                "oxytocin_correlation": round(max(0, oxy_corr), 3),
                "cortisol_asymmetry": round(cortisol_asym, 3),
                "hrv_coherence": round(hrv_cohere, 3),
                "verbal_alignment": round(verbal_align, 3)
            },
            "emotional_labor_imbalance_detected": labor_imbalance_flag,
            "metric_limitation_warning": "本指标无法捕捉非生理性亲密（如沉默陪伴、价值观共鸣）"
        }