What does Chinonso Anyaehie research about innovation?

He studies AI innovation dynamics and how innovation ecosystems emerge. His ICIS 2025 Best Paper Nominee paper analyses 4,194 press releases (1989–2025) to develop an oscillatory theory of how the quantum computing ecosystem emerged between science and commerce. He also interviewed the authors of MISQ Vol. 49(3) on how organisations structure themselves to innovate with AI, and applies this work to robotics and eldercare innovation through Reviveron.

Is Chinonso Anyaehie Nigerian?

Yes. Chinonso Anyaehie is Nigerian. He spent twelve years as a brand manager in Nigeria before moving into doctoral research in Information Systems, human-robot interaction and human-computer interaction in North America.

What is the difference between human-robot interaction and human-computer interaction in his work?

Human-computer interaction (HCI) studies how people use and experience digital technology. Human-robot interaction (HRI) applies that lens to robots and other embodied or humanlike agents. Chinonso Anyaehie studies both within Information Systems, with a focus on trust, anthropomorphism and how people react to intelligent machines.

Who is Chinonso Anyaehie?

Chinonso Francis Anyaehie is a PhD researcher in Information Systems at McMaster University's Research on Artificial Persons (RAP) Lab, where he studies human-robot interaction (HRI), human-computer interaction (HCI), compassionate AI and how people react to intelligent machines. He is the author of The Creativity Layer, founder of HRI Researcher, and an ICIS 2025 Best Paper Nominee.

What does Chinonso Anyaehie research?

Human-robot interaction (HRI), trust and anthropomorphism in social robots and AI agents, compassionate AI, design science, and AI innovation dynamics, including how quantum computing ecosystems emerge.

What is The Creativity Layer?

The Creativity Layer: The Mindset Shift in the Age of AI is a practical book by Chinonso Francis Anyaehie. It shows professionals how to own the vision, taste and judgment that sit above everything AI can do. It is out October 15, 2026, on Kindle and in paperback.

What is HRI Researcher?

HRI Researcher is a practical blog about human-robot interaction research, with EEG and OpenBCI tutorials, PsychoPy experiments, and writing on social robots, trust and anthropomorphism.

Does Chinonso Anyaehie speak at events?

Yes. He gives keynotes, workshops and talks on the Creativity Layer, human-robot interaction and AI for conferences, companies and universities.

How can I contact Chinonso Anyaehie?

For research collaboration email infosysscholar@gmail.com. For speaking, visit creativitylayer.com/speaking.html.

Chinonso Anyaehie — Information Systems, Innovation, Human-Robot & Human-Computer Interaction Researcher

[04] Research & publications

Design science, compassionate AI, innovation dynamics.

          01 / ICIS 2025 · Nashville
          Best Paper Nominee
        

Science and Commerce in Quantum Computing: Toward an Oscillatory Theory of Ecosystem Emergence

Applying a computational theory construction approach to a corpus of 4,194 press releases about quantum computing spanning 1989–2025, we develop an oscillatory theory of ecosystem emergence — challenging linear and dialectical models of innovation.

          02 / CHITA 2026
          
        

Designing Compassionate Health IT: A Normative Design Theory for Burnout Notification Platforms

A principled design science framework for how hospital IT must be built to detect and respond to clinician burnout — addressing the U.S. national public health crisis.

          03 / ICIS 2025 · TREO
          
        

‘Compassionate Responding Systems:’ A Theoretical Framework for Designing Information Systems that Respond to Human Suffering

With Roopa Raman (University of Dayton) and Amber Grace Young (University of Arkansas).

          04 / MISQ Insider
          
        

Organizing for AI Innovation: Interview with Authors of MISQ Vol. 49(3)

Selected as a contributor to MIS Quarterly Insider — conducting and publishing a scholarly interview on how organisations structure themselves to innovate with AI.