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@omarsar0· @omarsar0 · X·· 29 天前AI 评分43
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Google DeepMind 发布主动式智能体论文,研究者构建探针并让 16 名参与者试用一周,参与者可配置角色与主动性等级,相关伙伴会在写作过程中主动介入。三项发现:用户会预先规划预期场景而非被动应对打断;建议既用于生成想法也用于自我监控;打扰程度取决于呈现方式,轻量视觉与非指令性措辞更受认可。设计启示涵盖定制、时机、参与与呈现。

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Super interesting paper on proactive agents from Google DeepMind.

(bookmark it)

Proactive assistance usually means autocomplete.

Researchers asks what it looks like when an agent offers higher-level cognitive support and picks its own moment to speak.

They built a probe and deployed it with 16 participants for a week. Writers create partners by configuring a role and a proactivity level, and relevant partners then take initiative as the writing happens.

Three findings stand out:

> Participants configured support prospectively, planning for situations they anticipated rather than reacting to interruptions.

> They used suggestions for idea generation and also for self-monitoring, which is a purpose proactive tools rarely design for.

> And they judged intrusiveness by presentation, valuing lightweight visual representation and non-directive rhetorical framing.

The design implications cover customization, timing, engagement and representation.

Worth reading if you are building an assistant that acts before being asked, because how the intervention is phrased mattered to users as much as when it arrived.

Paper: https://t.co/du91kpBrWp

来源:@omarsar0 · x.com