Recurrence-Aware Conversation Decision Support in Emotionally Loaded Romantic Relationships: A Conceptual Framework

Fuente: Zenodo
Guardado en:
Detalles Bibliográficos
Autor principal: Yakovleva, Mariia
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2026
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866901317039947776
author Yakovleva, Mariia
author_facet Yakovleva, Mariia
contents <p>Conceptual paper introducing recurrence-aware conversation decision support for difficult romantic conversations. The paper argues that repeated romantic conflicts should be treated not as one-off message-generation tasks, but as longitudinal decision-support problems shaped by prior attempts, recurring interaction patterns, competing goals, and uncertain response paths. It proposes six core functions for such systems: recurrence representation, pattern identification, objective clarification, goal-strategy mismatch detection, branch preparation, and post-conversation learning. The contribution is analytical rather than empirical and focuses on category definition, differentiation from adjacent tools, risks, limitations, and future evaluation directions.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19375721
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Recurrence-Aware Conversation Decision Support in Emotionally Loaded Romantic Relationships: A Conceptual Framework
Yakovleva, Mariia
recurrence-aware conversation decision support
difficult romantic conversations
romantic relationship conflict
longitudinal decision support
conversational AI
human-computer interaction
relationship technology
interpersonal communication
conflict repair
boundary setting
branching dialogue support
post-conversation reflection
<p>Conceptual paper introducing recurrence-aware conversation decision support for difficult romantic conversations. The paper argues that repeated romantic conflicts should be treated not as one-off message-generation tasks, but as longitudinal decision-support problems shaped by prior attempts, recurring interaction patterns, competing goals, and uncertain response paths. It proposes six core functions for such systems: recurrence representation, pattern identification, objective clarification, goal-strategy mismatch detection, branch preparation, and post-conversation learning. The contribution is analytical rather than empirical and focuses on category definition, differentiation from adjacent tools, risks, limitations, and future evaluation directions.</p>
title Recurrence-Aware Conversation Decision Support in Emotionally Loaded Romantic Relationships: A Conceptual Framework
topic recurrence-aware conversation decision support
difficult romantic conversations
romantic relationship conflict
longitudinal decision support
conversational AI
human-computer interaction
relationship technology
interpersonal communication
conflict repair
boundary setting
branching dialogue support
post-conversation reflection
url https://doi.org/10.5281/zenodo.19375721