Emotion-Attended Stateful Memory (EASM):The Architecture for Hyper-Personalization at Scale

• URL: http://arxiv.org/abs/2605.14833v1
• Date: Thu, 14 May 2026 13:39:19 GMT
• Title: Emotion-Attended Stateful Memory (EASM):The Architecture for Hyper-Personalization at Scale
• Abstract summary: We propose an emotion-attended stateful memory architecture that dynamically constructs user-specific conversational context.<n>We conducted a controlled A/B study across thirty non-scripted conversations spanning six emotionally distinct categories.<n>Results remained consistent even in emotionally adversarial conversations involving grief, distress, and uncertainty.
• Score: 3.036596192442501
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Current language model systems remain fundamentally stateless across sessions, limiting their ability to personalize interactions over time. While retrieval-augmented generation and fine-tuning improve knowledge access and domain capability, they do not enable persistent understanding of individual users. We propose an emotion-attended stateful memory architecture that dynamically constructs user-specific conversational context using long-term history, emotional signals, and inferred intent at inference time. To evaluate its impact, we conducted a controlled A/B study across thirty non-scripted conversations spanning six emotionally distinct categories using the same underlying language model in both conditions. The memory-enriched condition consistently outperformed the stateless baseline across all evaluated scenarios. The largest gains were observed in memory grounding (95% improvement), plan clarity (57%), and emotional validation (34%). Results remained consistent even in emotionally adversarial conversations involving grief, distress, and uncertainty. These findings suggest that stateful emotional memory may represent a foundational infrastructure layer for hyper-personalized AI systems, though broader validation across larger and more diverse evaluations remains necessary

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