PhD study: UX Designers & AI/ML Practitioners to test a "Trust in LLM-based Chatbots" Design Method (~25 min, anonymous) [R]

Hi everyone,

I'm a PhD researcher at Mainz University of Applied Sciences, Germany. My dissertation looks at how interface and UX design shape user trust in AI/LLM-based chatbots, specifically how to support calibrated trust, where users neither over-rely on a system nor dismiss a capable one.

As part of this, I've developed a structured method that helps designers or developers decide which trust-related interface elements to use in a chatbot, and how strongly to apply them, depending on the use context. I'm looking for practitioners to apply the method to a worked example and tell me whether it's understandable, useful, and applicable in practice. Critical feedback is exactly what I'm after; there are no right or wrong answers.

Who I'm looking for:
People who design, build, or research AI/LLM-based products, e.g.:

• UX, product, or interaction designers
• AI/ML engineers, data scientists, or applied-AI / conversational-AI practitioners
• Advanced students or researchers in these areas

You should be comfortable reading and responding in English.

What's involved (~20-30 min, at your own pace):

• Read a short description of the method and a sample chatbot case
• Apply the method step by step to that case, noting your reasoning as you go
• Rate it on three dimensions (clarity, usefulness, applicability) and leave open feedback

Details:
Fully anonymous online survey. Voluntary, no compensation. No personal data is required beyond a few optional questions about your professional background. Responses are used only for my dissertation, and you can stop any time before submitting. Consent details are on the first page.

Survey link: https://ww3.unipark.de/uc/ux4ai/

Happy to answer questions in the comments or by DM.
Thanks for considering it!