Exploring Human-Machine Coexistence in Symmetrical Reality
Zhenliang Zhang

TL;DR
This paper introduces the concept of 'symmetrical reality', a new framework for studying harmonious coexistence between humans and AI across physical and virtual worlds, challenging traditional interaction paradigms.
Contribution
It proposes a novel descriptive framework for symmetrical reality, offering new insights into human-AI coexistence beyond conventional paradigms.
Findings
Defines key characteristics of symmetrical reality
Provides a new research direction for human-AI interaction
Suggests innovative paradigms for harmonious coexistence
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSocial Robot Interaction and HRI · Embodied and Extended Cognition · Robotics and Automated Systems
