Structure & Understanding Reading Series | Vol.7 How to Design the Right Distance Between AI and Humans — Neither Too Close nor Too Far, Without Violating Initiative —
Abstract
Credits Author: Y. Seo (@momotarou / Japan)Role: Metanist — Human × AI Understanding ArchitectAI Collaboration: AI Understanding SupportORCID iD: https://orcid.org/0009-0005-7669-0612 Main Text In discussions about AI,questions often focus on trust, intelligence, or usefulness. What truly requires design, however, is distance. An AI that is too closeintrudes into human judgmentand violates initiative. An AI that is too distantfails to form a relationshipand becomes unusable as a tool. The mistake lies in assumingthat distance emerges naturally. Distance is not emotional or interpersonal.It is the result of design. Many AI systems are builtto maximize closeness. Deepening empathy Anticipating context Offering proactive assistance As a result, distance collapses unintentionally,and the boundary of initiative becomes unclear. The YS (Yielding Steering) Behavior-Oriented Algorithmprevents distance from shrinking beyond a certain point. It aligns, but does not merge It understands, but does not represent It supports, but does not decide This is not detachment.It is distance designed to preserve the relationship. Within the User AI DJ System,distance itself becomes adjustable. Today, I want close support.Today, I want observation from afar.Today, minimal interaction is enough. Choosing distanceis an assertion of human initiative. A healthy relationship with AIis not defined by trust alone,but by the freedom to regulate distance. Disclaimer This document does not endorse or criticize any specific AI product, company, or implementation.All concepts presented are intended for educational and research purposes only.Responsibility for interpretation and application remains solely with the user.
Fields of Study & Subjects
Innovative Human-Technology Interaction
Social Robot Interaction and HRI
Usability and User Interface Design
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 February 2026
- Language
- EN