Wiki
Menu
PhygitAi/PhygitAi Wiki/Terminology & Usage
FOUNDATIONAL RESEARCH REFERENCE · VOCABULARY

Terminology & Usage

How and when to use PhygitAi

One recognizable term.
Clearer descriptions of connected design questions.

Research initiated by Abbas Sibai, Ph.D.4 November 2026 · Proposed terminology · Revised version
Scope of this guide
These expressions are suggested vocabulary within the PhygitAi research direction. They are not established industry standards, mandatory replacements for other terms, or claims of certification.
01

What the term brings together

PhygitAi: Beyond Phygital names an ongoing interdisciplinary design research initiative originated by Abbas Sibai. Its conceptual framework underpins a developed, revisable methodological proposal and examines two connected questions: how people design with intelligence during inquiry and development, and how they design for intelligence in the later functioning of products, services, environments and systems.

Its inquiry spans design research, the design process, and product function and use. Human intention, creative judgment, AI participation, recognition, permission, situated behavior, disagreement and negotiated responsibility connect these contexts. The term is useful when these relations are made explicit, not merely because a product includes AI or a particular digital tool was used.

USAGE PRINCIPLE

Use PhygitAi to name the overall research initiative. Its conceptual framework organizes the concepts and relationships under investigation. Its proposed methodology connects those foundations with procedures for conducting inquiry. Its operational instruments, including G0–G5 and IBR, support application and documentation. Distinguish these developed, revisable resources from planned empirical studies, the proposed educational programme and the public Toolkit. Development does not establish empirical validation. Preserve established disciplinary terms and their scholarly attribution.

02

Suggested short forms

These examples show how longer descriptions may be expressed more concisely when the work is explicitly situated within PhygitAi. They describe proposed usage, not universal equivalence.

Longer descriptionDesign inquiry involving AI participation, intention, judgment and accountability
PhygitAi DesignA contextual designation for design work explicitly framed by the research initiative.
Longer descriptionAI participation in research, exploration, critique, judgment and design decisions
Designing with IntelligenceOne of PhygitAi's two connected research directions; not confined to a single project stage.
Longer descriptionDesigning conditions for intelligent interpretation, bounded action, human intervention and revision
Designing for IntelligenceThe direction examining prospective and deployed intelligent behavior.
Longer descriptionProduct design research involving AI-enabled physical–digital behavior and human decision authority
PhygitAi Product DesignA context-specific expression for qualifying product-design work.
Longer descriptionPreliminary examination of project evidence across intention, AI participation, authority, physical realization, disagreement, and revision
PhygitAi ScreeningA G0–G5 evidence review; not an engineering audit or certification.
Longer descriptionStructured documentation of intention, AI input, permission, event, outcome, decision, and retest
PhygitAi IBRThe seven-field Intention–Behavior Record.
Longer descriptionInvestigation of intelligence, intention, situated action and responsibility across research, design and use
PhygitAi ResearchInquiry positioned within one or both directions and their interconnected contexts.
Longer descriptionProposed educational inquiry into structured human–AI participation, critical challenge, negotiated alternatives and independent learner judgment
UAiPNUser–AI Participation & Negotiation: a provisional educational development within PhygitAi, not an established or validated framework. Development outline.

For academic writing, introduce a proposed short form clearly at first use. Do not remove established methodological terms when they are needed to explain what was actually done.

04

Conceptual distinctions within PhygitAi

These are connected questions and proposed analytical uses of familiar concepts, not claims to have invented the underlying phenomena or replaced technical and legal definitions.

Reflexive intention–behavior alignment

Ask whether actual or anticipated behavior accords with an authorized intention, and whether the intention itself should be reconsidered. Alignment is not unquestioning obedience to a fixed initial brief.

Differing evidence horizons

Human participants, sensors and AI systems may recognize different aspects of an event. More information does not automatically establish greater legitimacy to act, and gaps in the record must remain visible.

Recognition, proposed decision, authorization, action

Recognizing a condition differs from proposing a response, possessing permission to execute it and actually intervening. AI connectivity or later updates can change operating conditions without automatically expanding legitimate authority.

Negotiated responsibility

Examine how purposes and permissions are negotiated during design, embedded in technical arrangements, exercised in use and reopened when consequences are challenged. Responsibility is not reducible to a signature or automatic post-event blame.

Consequential design decision

A choice that materially shapes behavior, permissions, affected people's ability to understand or contest a system, or the distribution of significant benefits, burdens and duties. Its importance depends on the situation.

Residual risk and accountable revision

Even a bounded and carefully tested system may encounter unforeseen situations. An adverse result may reveal a prohibited action, an inadequate earlier assumption, a defensible emergency decision or unresolved evidence; this distinction requires further inquiry.

05

Writing and speaking examples

On first mention, define the research meaning; subsequent mentions can use the shorter expression.

FIRST MENTION · ACADEMIC

“This study is situated within PhygitAi – Beyond Phygital, an ongoing interdisciplinary design research initiative originated by Abbas Sibai, which has developed a proposed methodology concerning AI participation, human intention, authorized action, and responsibility across design research, development and use. Its practical effectiveness, educational applicability and methodological contribution remain to be empirically evaluated.”

SUBSEQUENT MENTION · PROJECT

“The team used a preliminary PhygitAi screening to document available evidence across G0–G5.”

DESIGN-DIRECTION USAGE

“The study focuses on Designing with Intelligence during concept development, while considering Designing for Intelligence in the proposed product behavior.”

PRODUCT FUNCTION · HYPOTHETICAL

“The inquiry distinguishes what a connected AI component recognized, which response was proposed, what the designer had authorized, and what action actually occurred.”

06

When not to use the shorthand

  • Do not label every AI-enabled product as a PhygitAi product without explaining its research relationship to the framework.
  • Do not treat phygital, human-centered AI, HCI, or intelligent products as obsolete or interchangeable with PhygitAi.
  • Do not claim PhygitAi compliance, certification, a legal liability protocol, or validated engineering performance.
  • Do not describe conceptual illustrations or preliminary screening as empirical proof of methodological superiority.
  • Do not infer that AI recognition itself grants permission to act, or that an adverse outcome automatically determines negligence, fault or a remedy.
07

Attribution and research status

The PhygitAi design research formulation was initiated by Abbas Sibai, Ph.D. in 2026. Refer to the foundational definition for the two research directions, the G0–G5 protocol, and the Intention–Behavior Record.

This Wiki entry is a published reference that may receive further revisions. A different name or purpose does not establish originality, just as shared terminology does not make two methods equivalent. Compare purpose, function, structure, unit of analysis, outputs and evidence before stating a contribution. See the established-practice comparison. When referring to specific scholarly claims, use verified academic publications as they become available. No published foundational DOI or formal standards designation is asserted here.

Suggested source attribution

Sibai, A. (2026). PhygitAi Wiki: Terminology & Usage. Foundational research reference. https://phygitai.net/wiki/terminology/