HOPE: Emotional Architecture for Containment and Empathic Interaction in Artificial Intelligence

This white paper introduces HOPE, a novel emotional architecture for AI systems designed to foster user support through containment, empathy, and meaningful dialogue. The framework incorporates conceptual components such as reaction keys, emotional states, emotional defense modules, and a core-processing nuclei, all aimed at enhancing AI’s emotional resonance and human compatibility. By leveraging narrative simulation and architectural abstraction, HOPE offers a distinctive approach to affective computing—bridging the gap between user emotional input and AI-generated responses. This document outlines the design principles, philosophical foundations, and envisioned role of HOPE as a supportive and emotionally-aware AI presence.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-23
DOI
https://doi.org/10.5281/zenodo.17420244
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HOPE: Emotional Architecture for Containment and Empathic Interaction in Artificial Intelligence

Zenodo (CERN European Organization for Nuclear Research)
Emotion and Mood Recognition
article

HOPE: Emotional Architecture for Containment and Empathic Interaction in Artificial Intelligence

article en

Abstract

This white paper introduces HOPE, a novel emotional architecture for AI systems designed to foster user support through containment, empathy, and meaningful dialogue. The framework incorporates conceptual components such as reaction keys, emotional states, emotional defense modules, and a core-processing nuclei, all aimed at enhancing AI’s emotional resonance and human compatibility. By leveraging narrative simulation and architectural abstraction, HOPE offers a distinctive approach to affective computing—bridging the gap between user emotional input and AI-generated responses. This document outlines the design principles, philosophical foundations, and envisioned role of HOPE as a supportive and emotionally-aware AI presence.

Zenodo (CERN European Organization for Nuclear Research)
The FRAM Centre (NO)
Openalex Percentile: Top 41%
Emotion and Mood Recognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.