Week 5
Questions this week
How is smoothness in conversational AI produced and expressed through the interface? What labor, infrastructure, and organizational decisions remain outside the user experience? How far can these hidden conditions be traced without reducing them to a simplified explanation?
Research discoveries
I conducted a preliminary interface audit of ChatGPT, Gemini, and Claude using the same neutral text and summarization prompt. I observed recurring patterns: all three minimized the waiting process, presented completed answers without a visible speaker, and separated uncertainty from the response through general disclaimers or peripheral interface elements. The interfaces also suggested possible controls through model labels, source panels, or output settings, but it was not always clear whether these provided meaningful agency. This research helped me distinguish process visibility from user agency. Showing technical labels or a “Thinking” state does not necessarily explain the process or allow users to change it. I was also surprised by how little of the system needs to be shown for the interaction to feel immediate and complete.
Other work
I refined my thesis framework around the proposition that smoothness may redistribute friction beyond the interface and contribute to constructing AI as a sociotechnical black box. I selected conversational AI as my primary case and organized the research through four layers: interface, hidden processes, material infrastructure, and power and responsibility. I also developed the next research step, “Attempting to Trace One Response,” which will map one AI response across these four layers and identify what is known, assumed, and unknown.
Other questions or notes
No additional questions at this time.
























