Industrial Design
Exploring how artificial intelligence contributes to design exploration, development processes, and outcomes.
AN ONGOING RESEARCH EXPLORATION · INDUSTRIAL DESIGN · AI
PhygitAi
Beyond Phygital.
Designing with Intelligence.
Designing for Intelligence.
PhygitAi explores how artificial intelligence reshapes industrial design processes, physical-digital experiences, and human creative judgment.
PhysicalDigitalAIHuman-centred
PLATFORMS
Use PhygitAi Across Platforms
Explore PhygitAi through ChatGPT, Claude, and Gemini, with platform-specific access information, installation instructions, and available package downloads.
Explore all platformsOUR RESEARCH FOCUS
Human–AI Collaboration in Design
A research approach exploring how human intentions, AI contributions, decision authority, and product behavior can be examined and documented in industrial and physical–digital design.
Physical–Digital Experiences
Examining relationships between physical products, digital systems, and adaptive intelligence.
Human-Centred Approach
Keeping human judgment, decision authority, and accountability central to the design process.
Responsible AI Use
Examining AI contributions, evidence, limitations, and opportunities for accountable revision.
01 / Research orientation
Two interconnected
directions.
A developing inquiry into both the role of AI within the design process and the new conditions for which designers may design.
Designing with
Intelligence.
Exploring how artificial intelligence participates in design exploration, creative judgment, and decision-making.
Designing for
Intelligence.
Investigating how industrial design may respond to environments, artifacts, and experiences shaped by emerging forms of intelligence.
02 / Research focus
Questions shaping
the inquiry.
Four interrelated themes introduce the research territory without presenting its unpublished framework.
AI in design processes
Exploring AI's role in ideation, design exploration, and creative decision-making.
Adaptive products
Considering intelligent behaviours in physical-digital products and experiences.
Human authority
Keeping human intention, agency, and meaningful oversight central to design.
Accountability & revision
Examining how design decisions and outcomes can be assessed and revised.
At the centre of the inquiry: human intention, creative judgment, authority, and accountability.
03 / About the initiative
An evolving
research inquiry.
PhygitAi is a conceptual research initiative developing a perspective on the intersection of physical and digital experiences, artificial intelligence, and industrial design.
Research in developmentIts theoretical foundations and potential applications are currently being developed. Material shared here introduces the research direction rather than a completed theoretical framework.
Initiated by Abbas Sibai.
04 / The purpose behind the name
Why
PhygitAi?
More than an AI-generated answer: a research direction connecting intelligent products, human decisions and accountable design practice.
PhygitAi
PhygitAi brings together physical–digital design and artificial intelligence. Beyond the phygital experience, it explores how intelligence participates in designing products—and how designed products increasingly respond intelligently.
Physical×Digital×AI
When AI influences a design,
who remains responsible?
AI can generate ideas, contribute to design decisions, and influence the behaviour of physical–digital products. PhygitAi investigates the intentions guiding those decisions, the evidence behind them, who holds authority, and what happens when actual outcomes differ from expectations.
Its goal is not to replace the designer's judgment, but to make human–AI collaboration more visible, examinable, and accountable.
Start with human purpose.
Make design objectives, assumptions, user needs, and constraints explicit.
Keep people responsible.
Distinguish AI suggestions from human evaluation, authorization, and decisions.
Question what is known.
Separate reported activity, supplied records, missing evidence, and uncertainty.
Learn from behaviour.
Examine intended versus observed outcomes and support accountable revision.
General-purpose AI assistance
Ideas and explanations.
Open-ended AI can suggest concepts and produce confident, useful responses. Without an explicit review protocol, decision authority, supporting documentation, and uncertainty may remain unclear.
PhygitAi preliminary screening
Structured design inquiry.
PhygitAi applies its G0–G5 research checkpoints, a seven-field Intention–Behavior Record (IBR), and six focused workflows to organize the available evidence and identify questions that require human review.
For education, research, and design practice. A shared language for students and educators to discuss AI-assisted design, for researchers to examine traceability, and for design teams to reflect on decisions in adaptive physical–digital products.
Explore the six workflows ↗PhygitAi is a conceptual, research-stage methodology. It aims to reduce unsupported certainty, not to guarantee error-free AI output, independently validate evidence, certify products, or claim proven superiority over other AI systems.
06 / Researcher & academic contact
Researcher &
academic contact.
For academic correspondence, research conversations, and inquiries relating to PhygitAi.
Initiated by
Abbas Sibai, Ph.D.
Académie Libanaise des Beaux-Arts (ALBA)
University of Balamand
Academic inquiries
abbas.sibai@alba.edu.lb
PhygitAi is an independent, ongoing research initiative. The academic affiliation identifies the researcher and does not imply institutional endorsement.
The inquiry continues
What comes
after phygital?
Abbas Sibai, Ph.D.Researcher & DesignerPhygitAi · Beyond Phygital