What is "Spatial" about Spatial Computing?

2025-08-28

AI Summary

Conceptual ambiguity surrounding “spatial computing” across human-computer interaction, geographic information science, and computer science has led to theoretical fragmentation and impediments to interdisciplinary integration. This paper addresses this problem by proposing a dual-cognitive framework wherein “space” is reconceptualized as both contextual understanding and interactive space, thereby reframing spatial computing as a novel computational paradigm that orchestrates environment, computation, and embodied human experience. Methodologically, we integrate GIS, mixed reality, and HCI techniques to construct a physically and digitally seamless computational environment. The contribution is twofold: first, it resolves conceptual tensions across disciplines; second, it establishes a unified theoretical framework—grounded in embodiment and scalable across domains—that enhances explanatory power while enabling cross-disciplinary collaboration and innovation in embodied spatial intelligence. (132 words)

Technology Category

• Knowledge Representation and Reasoning: Geometric, Spatial, and Temporal Reasoning
• Cognitive Modeling & Cognitive Systems: (Computational) Cognitive Architectures
• Humans and AI: Human-Computer Interaction

Application Category

• Social Networks and Social Media: Computational social science
• Systems and Infrastructure for Web, Mobile and WoT: Web applications in cross-disciplinary domains and verticals such as mixed reality, smart cities, and digital health
• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems

Abstract

Recent advancements in geographic information systems and mixed reality technologies have positioned spatial computing as a transformative paradigm in computational science. However, the field remains conceptually fragmented, with diverse interpretations across disciplines like Human-Computer Interaction, Geographic Information Science, and Computer Science, which hinders a comprehensive understanding of spatial computing and poses challenges for its coherent advancement and interdisciplinary integration. In this paper, we trace the origins and historical evolution of spatial computing and examine how "spatial" is understood, identifying two schools of thought: "spatial" as the contextual understanding of space, where spatial data guides interaction in the physical world; and "spatial" as a mixed space for interaction, emphasizing the seamless integration of physical and digital environments to enable embodied engagement. By synthesizing these perspectives, we propose spatial computing as a computational paradigm that redefines the interplay between environment, computation, and human experience, offering a holistic lens to enhance its conceptual clarity and inspire future technological innovations that support meaningful interactions with and shaping of environments.

Problem

• Conceptual fragmentation in spatial computing across disciplines
• Diverse interpretations of spatial in computing paradigms
• Need for coherent advancement and interdisciplinary integration

Innovation

• Spatial computing integrates physical and digital environments
• Redefines interplay between environment computation human experience
• Synthesizes contextual spatial data with mixed reality interaction