Balanced Blended Space: Foundational Human–AI Dialogues in a Symmetry-Based Mediation Framework

Authors

David Smith, CUNY New York City College of TechnologyFollow

Document Type

Working Paper

Publication Date

Summer 2023

Abstract

This working paper documents the early development of the Balanced Blended Space (BBS) framework through a series of iterative interactions between a cognitive agent (human researcher) and a computational agent (AI system) conducted in 2023. The work is motivated by the need for a universal theoretical model capable of describing the integration of physical, virtual, and conceptual spaces, particularly in response to increasing fragmentation across contemporary communication systems.

BBS is proposed as a symmetry-based mediation framework in which relationships between domains—such as physical and virtual space, cognition and computation, and multiple sensory modalities—are treated as structurally equivalent and mappable. Central to the framework is the concept of mediation pathways, defined as configurable processes through which information is transmitted and transformed across domains. These pathways are understood as potentially unbounded in length and complexity, motivating the development of a formal syntax capable of exhaustively describing such interactions.

The document itself serves both as a theoretical precursor and as an instantiation of the framework it describes. Each interaction may be interpreted as a Source–Vector–Destination (SVD) transformation, forming a chain of mediated exchanges through which the framework emerges. In this context, artificial intelligence is treated not as a tool but as a participating computational agent, reflecting a core premise of BBS that cognition and computation operate in symmetrical relation.

The performing arts are introduced as a low-risk experimental domain for testing configurations of blended systems, leading toward the development of a Blended Reality Performance System (BRPS). While the framework is not presented in finalized form, this document provides a foundational record of its conceptual emergence and establishes a basis for future formalization, implementation, and cross-domain application.

Overview

This working paper presents the foundational development of the Balanced Blended Space (BBS) framework through a recorded sequence of human–AI interactions conducted in 2023. The document captures the early formation of a symmetry-based approach to understanding how information is transmitted, transformed, and integrated across physical, virtual, and conceptual domains.

Rather than presenting a finalized theory, this work documents the process through which the framework emerged. Through iterative exchanges between cognitive and computational agents, key concepts—including mediation pathways, cross-domain symmetry, and the relationship between cognition and computation—are progressively introduced and refined. As such, the document functions both as a theoretical precursor and as a developmental artifact.

Purpose

The primary aim of this work is to establish a universal descriptive framework capable of modeling interactions across blended environments. This includes:

• Defining symmetries across domains (physical, virtual, conceptual)

• Modeling information flow through mediation pathways

• Exploring the structural relationship between human cognition and computational systems

• Establishing the basis for a formal syntax describing mediated interactions

The framework is intentionally designed to be generalizable, supporting analysis across disciplines including media systems, artificial intelligence, performance environments, and human–computer interaction.

Why This Matters

Contemporary communication systems are increasingly fragmented across platforms, modalities, and contexts. Existing approaches—particularly those emphasizing fully immersive virtual environments—often prioritize isolation from physical context over integration.

BBS proposes an alternative: a balanced model of blended interaction in which physical and virtual domains coexist, and in which shared experience remains central. By treating cognition and computation as structurally symmetrical participants, the framework opens new possibilities for collaborative systems that extend beyond tool-based paradigms.

Methodological Note

This document is based on 568 prompt–response exchanges between a human researcher and an AI system. The interaction is preserved with minimal editorial modification, allowing the reader to observe the iterative development of ideas in situ.

From a BBS perspective, each exchange may be interpreted as a mediated transformation between agents, forming a chain of information flow across domains. The document can therefore be read both as a record of conceptual development and as an instance of the system it describes.

Position within CHI

This work is part of the broader activities of the Center for Holistic Integration (CHI) and contributes to several ongoing meta-projects:

• The Balanced Blended Space (BBS) framework

• The development of a formal mediation syntax

• The Blended Reality Performance System (BRPS) as an experimental testbed

• The Collaborative AI initiative, exploring structured human–AI co-creation

How to Read This Document

Readers may approach the document from multiple perspectives:

• As a theoretical text, introducing the early structure of BBS

• As a process record, documenting iterative co-development

• As a mediation sequence, in which each exchange represents a transformation of information between agents

These layers are intentionally preserved, reflecting the framework’s emphasis on transformation, symmetry, and interaction.