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Micro-Processes of Emotional Control in Human–AI Dialogues
KlifdirrДата: Воскресенье, 16.11.2025, 16:33 | Сообщение # 1
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In the initial interactions with AI-driven dialogue systems, users often describe subtle emotional fluctuations reminiscent of the brief tension near GtBet9 Casino terminals or the anticipation before a slot reel stops. These micro-emotional shifts are measurable and directly influence engagement. A 2023–2024 study with 421 participants found that emotional spikes occur within 150–250 ms of unexpected AI responses, as indicated by heart rate variability and galvanic skin response.
Researchers at Stanford AI & Cognition Lab identified that micro-processes of emotional regulation—such as micro-pauses in AI responses or adaptive linguistic softeners—can stabilize affect within 2–3 conversational turns. Social-media feedback confirms this effect: participants frequently describe the system as “calm and human-like” when it pauses or softens phrasing, leading to increased trust and dialogue depth.
Interestingly, overcorrection or excessive emotional modulation reduces natural engagement. When AI responses are delayed beyond 350 ms or over-softened, users perceive the dialogue as artificial, reducing trust scores by 12–15%. Conversely, micro-adjustments delivered in sub-300 ms intervals enhance affective stability and user confidence. Eye-tracking and EEG data show synchronized activity in frontal and limbic regions during optimized micro-regulation.
These findings indicate that emotional control in hybrid dialogues is not continuous but oscillatory, relying on micro-processes to maintain equilibrium. Systems that exploit these temporal windows enhance user satisfaction, engagement, and resilience to emotionally challenging interactions.
 
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