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What AI Can and Cannot Do for UX (2024)
jakobnielsenphd.substack.com
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AI can already perform many UX tasks, ranging from design and research ideation to analyzing qualitative user data at scale. It’s the perfect assistant that quickly produces the first drafts of any UX method plan or deliverable. It will do more in the future,... possibly complete UI designs. But AI will not eliminate the need to watch human users.

Website Survival Without SEO in the Age of AI
jakobnielsenphd.substack.com
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Content creators face reduced search traffic due to AI's prowess in delivering tailored answers, challenging traditional SEO strategies. Social will also drive less traffic. Permission marketing will be the main way to survive on the Internet.

Compare AI to Average Humans, Not the Best Human
jakobnielsenphd.substack.com
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To maximize the benefits to humanity, decisions to deploy AI solutions must be based on comparing AI with the average performance of unaided humans, not an unrealistic comparison with the single best human or with unachievable perfection.

Unreliability of AI in Evaluating UX Screenshots
jakobnielsenphd.substack.com
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In a case study of ChatGPT evaluating 12 e-commerce screenshots, most of the AI-driven redesign suggestions were inconsistent and untrustworthy. Human UX expertise must be employed to judge UX advice from AI.

AI: First New UI Paradigm in 60 Years
www.nngroup.com
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AI is introducing the third user-interface paradigm in computing history, shifting to a new interaction mechanism where users tell the computer what they want, not how to do it — thus reversing the locus of control.

Prompt Structure in Conversations with Generative AI
www.nngroup.com
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Most prompts contain a combination of the following components: request, framing context, format specification, and one or more references to previous answers or external sources. There are also 3 types of unconventional prompts that do not follow this structure: "Can you do X," "Give me more," and filler prompts.

AI for UX: Getting Started
www.nngroup.com
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Use generative-AI tools to support and enhance your UX skills — not to replace them. Start with small UX tasks and watch out for hallucinations and bad advice. All UX professionals should use AI: it’s helpful at any level of seniority and for many tasks within the UX lifecycle (including research, design, and writing).

The 6 Types of Conversations with Generative AI
www.nngroup.com
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When interacting with generative-AI bots, users engage in six types of conversations, depending on their skill levels and their information needs. Interfaces for UI bots should support and accommodate this diversity of conversation styles.

Oops! We Automated Bullshit.
www.cst.cam.ac.uk
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ChatGPT is a bullshit generator. AI systems ... are trained with text from Twitter, Facebook, Reddit, and other huge archives of bullshit, alongside plenty of actual facts (including ... text ripped off from professional writers). But there is no algorithm in [AI] to check which parts are true.

Unreliability of AI in Evaluating UX Screenshots
jakobnielsenphd.substack.com
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In a case study of ChatGPT evaluating 12 e-commerce screenshots, most of the AI-driven redesign suggestions were inconsistent and untrustworthy. Human UX expertise must be employed to judge UX advice from AI.

Navigating the Web with Text vs. GUI Browsers: AI UX Is 1992 All Over Again
www.uxtigers.com
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For its first two years, the web was a text-only medium with a command-line user interface similar to the UI for current generative AI tools like ChatGPT. Only after GUI browsers launched in 1993 did the web explode. AI needs a similar GUI revolution in usability.

Accordion Editing and Apple Picking: Early Generative-AI User Behaviors
www.nngroup.com
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Two new user behaviors are prevalent in interactions with text-based AI chatbots. User research shows the iterative and often complex ways users engage with AI tools for productivity.

Relevant Overviews

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