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Stanford study finds most chatbot users stay engaged in collaborative work

1 article1 sourcesince Oct 12Last article 1h ago ·

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Stanford HAI faculty affiliate Diyi Yang and her team analyzed about 250,000 anonymized chatbot conversations and found that most users stay engaged rather than seek shortcuts.

According to the study, users ask for explanations, work through friction, and refine their work.

The findings are reported by Stanford HAI on X and linked to a Stanford HAI news post, which describes the conversations as meaningful collaborations between humans and AI.

Written by AI from the articles below · updated Oct 12, 1:16 PM ET

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Latest developmentOct 12, 12:49 PM ET
Stanford study finds most chatbot users engage deeply rather than seek shortcuts

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Oct 12
  1. Stanford HAIOfficial
    Stanford study finds most chatbot users engage deeply rather than seek shortcuts

    AIStanford HAI faculty affiliate Diyi Yang and her team analyzed about 250,000 anonymized chatbot conversations. They found most users stay engaged, asking for explanations, working through friction, and refining their work rather than taking shortcuts.

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