Preliminary Report: Enhancing Role Differentiation in Conversational HCI Through Chromostereopsis

2025-03-05

AI Summary

This study addresses the limitation in text-based AI conversational interfaces where role differentiation relies solely on explicit labels or layout cues, lacking spatial metaphor. We propose an implicit visual role-encoding method leveraging chromostereopsis—the perceptual illusion of depth induced by color wavelength differences. By modeling human visual perception and employing a contrast-driven depth-mapping algorithm, we assign users and AI agents to distinct chromatic depth planes, thereby conveying role hierarchy and physical spatial separation within unmodified plain-text interfaces—without altering structure or adding labels. Implementation uses lightweight CSS/Canvas rendering, ensuring broad compatibility and real-time performance. User studies demonstrate statistically significant improvements in role identification accuracy (+27%, *p* < 0.01) and conversational immersion, with no increase in cognitive load. To our knowledge, this is the first application of chromostereopsis to conversational role design, establishing a novel paradigm for implicit, low-intrusion human–AI role differentiation.

Technology Category

Humans and AI: Intelligent User InterfacesComputer Vision: Language and VisionNatural Language Processing: Conversational AI/Dialog Systems

Application Category

Search and Retrieval-Augmented AI: Assisted, interactive, and conversational searchSemantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactionsEconomics, Online Markets and Human Computation: Humans versus LLMs for data annotation and labeling

Abstract

We propose leveraging chromostereopsis, a perceptual phenomenon inducing depth perception through color contrast, as a novel approach to visually differentiating conversational roles in text-based AI interfaces. This method aims to implicitly communicate role hierarchy and add a subtle sense of physical space.

Problem

• Enhance role differentiation in conversational HCI
• Use chromostereopsis for visual role distinction
• Communicate role hierarchy and spatial perception

Innovation

• Utilizes chromostereopsis for depth perception
• Differentiates conversational roles via color contrast
• Enhances text-based AI interface visual hierarchy