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Maggie Appleton

Interview participant ·

1 场访谈 · 3 条观点 · 1 个话题

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Agent output can overwhelm human decision-making

Maggie Appleton argues that large amounts of text suit agent output but are difficult for people to digest when making informed decisions.

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原始摘录

agents love to output reams and reams of text. And that's an ideal output for agents, but it is not an ideal input for humans. So we have a mismatch with like, what do humans need to be able to digest large amounts of information and truly understand it and be able to make informed decisions?
Design Engineering with Maggie Appleton

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打开该集并跳转至21:32。

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Match decision tools to the question

Maggie Appleton proposes decision interfaces that include diagrams, prototypes or embedded HTML according to the question being asked.

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原始摘录

Decisions that have come with diagrams and prototypes and HTML embedded in them so that depending on what question is being asked, it shows me the correct interface to make that decision.
Design Engineering with Maggie Appleton

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打开该集并跳转至22:54。

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Sketching helps shape an idea before prompting

Maggie Appleton describes needing quick, loose visual feedback early in a project, before she can explain to an agent what to build.

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原始摘录

you need something that is like quick feedback and very loose in the early stages to figure out the shape of something before you can put into words what you want an agent to do. And also it's visual. It's not text.
Design Engineering with Maggie Appleton

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打开该集并跳转至26:19。

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