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David Alaba submitted by /u/ShotBoss14 [link] [Kommentare]
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! submitted by /u/pparker20 [link] [Kommentare]
The robot behaved long enough for us to record this video. This robot was developed for the RoboMaster competition and powered by us. submitted by /u/Cubemars [link] [Kommentare]
I trade perps and spend hours staring at charts. There's always this dead zone under the chart that shows nothing. Figured that attention is worth something, so I built a thing. It's a browser extension that puts one small sponsored card in that empty space. You might see that 'NICHELOOM' ad there in the chart. This ad is never over the candles, you can collapse or dismiss it. Advertisers bid to show a card, and you keep 50% of the revenue, paid in USDC. It's open source so you can read exactly what it does before installing, it doesn't touch your wallet, trades, or positions. Only thing it ever asks for is a payout address if you want to get paid. Works on Hyperliquid, TradingView, Binance. It's early. The earnings are small right now (think a few dollars a week if you're active, not a paycheck) because it depends on advertiser demand, which I'm still building. Posting here because I genuinely want feedback from people who actually trade. Is the card annoying? useful? would you keep it? submitted by /u/Fearless_Run4 [link] [Kommentare]