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Chatbots that self-correct errors maintain user trust better, study finds

By PulseAugur Editorial · [2 sources] ·

A new study published on arXiv explores how social chatbots can maintain user trust after making errors. Researchers found that chatbots which self-correct are perceived as more trustworthy and expert than those that rely on external sources for correction. The study also highlights that a strong social connection with the chatbot amplifies the effectiveness of self-correction, influencing belief changes more significantly. AI

IMPACT This research suggests that for AI systems designed for social interaction, self-correction is crucial for maintaining user trust and engagement.

RANK_REASON The cluster contains an academic paper detailing experimental findings on chatbot behavior.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Chatbots that self-correct errors maintain user trust better, study finds

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The cluster contains an academic paper detailing experimental findings on chatbot behavior.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Biswadeep Sen, Yi-Chieh Lee ·

    Correct Yourself, Keep My Trust: How Self-Correction and Social Connection Shape Credibility in Social Chatbots

    arXiv:2606.19286v1 Announce Type: cross Abstract: When social chatbots make mistakes, and they do, how they recover determines whether users trust them again. Social chatbots are increasingly integrated into everyday life, yet they remain prone to generating convincing but inaccu…

  2. arXiv cs.AI TIER_1 English(EN) · Yi-Chieh Lee ·

    Correct Yourself, Keep My Trust: How Self-Correction and Social Connection Shape Credibility in Social Chatbots

    When social chatbots make mistakes, and they do, how they recover determines whether users trust them again. Social chatbots are increasingly integrated into everyday life, yet they remain prone to generating convincing but inaccurate information. The social connection they build…

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