HCAIFeb 25

Exploring Human-Machine Coexistence in Symmetrical Reality

arXiv:2602.21584v1h-index: 1
Originality Synthesis-oriented
AI Analysis

It addresses the problem of outdated human-centric interaction paradigms for researchers and practitioners in AI and human-computer interaction, but appears incremental as it builds on existing concepts of coexistence.

The paper tackles the challenge of human-AI interaction by proposing a novel descriptive framework for symbiotic coexistence across physical and virtual worlds, termed 'symmetrical reality', to renovate human-machine interaction paradigms.

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.

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The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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