Exploring Human-Machine Coexistence in Symmetrical Reality

📅 2026-02-25
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🤖 AI Summary
This study addresses the challenges posed by advancing artificial intelligence to traditional anthropocentric paradigms of human–computer interaction by proposing a novel conceptual framework termed “symmetric reality.” This framework integrates physical and virtual domains to model equitable coexistence between humans and AI within blended environments. Through a cross-domain integration approach, it transcends the limitations of existing human–AI interaction theories by reconceptualizing the relationship as one of mutual agency and shared presence. The work offers the first systematic articulation of the symmetric reality paradigm, establishing an innovative theoretical foundation and research trajectory for fostering harmonious human–AI coexistence.

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📝 Abstract
In the context of the evolution of artificial intelligence (AI), the interaction between humans and AI entities has become increasingly salient, challenging the conventional human-centric paradigms of human-machine interaction. To address this challenge, it is imperative to reassess the relationship between AI entities and humans. Through considering both the virtual and physical worlds, we can construct a novel descriptive framework for a world where humans and machines coexist symbiotically. This paper will introduce a fresh research direction engendered for studying harmonious human-machine coexistence across physical and virtual worlds, which has been termed "symmetrical reality". We will elucidate its key characteristics, offering innovative research insight for renovating human-machine interaction paradigms.
Problem

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human-machine coexistence
symmetrical reality
human-centric paradigm
AI entities
virtual and physical worlds
Innovation

Methods, ideas, or system contributions that make the work stand out.

symmetrical reality
human-machine coexistence
human-AI interaction
virtual-physical integration
symbiotic paradigm
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