Human Machines founder Geoff Gibbins shared a study of more than 420 U.S. knowledge workers collaborating with an AI chatbot. His account describes more than 10,400 messages, assessed across nine behavioral measures.
The work examines behaviors such as providing context, challenging a response and changing how a task is approached. Gibbins connects those interactions to the quality of the resulting work.
This is the company’s own research account. For a leadership team designing AI training, it offers a concrete question to investigate: which habits help people assess and improve the work they produce with AI? This retrospective links to the company’s published research update.
Human Machines helps teams improve how people collaborate with AI in their daily work.
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