OpenDialog Docs
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OpenDialog Docs
    • Introduction
    • Getting ready
    • Billing and plans
    • Quick Start AI Agents
    • AI Agent Creation Overview
    • Add a new topic of discussion
    • Use knowledge sources via RAG
    • Adding a structured conversation
    • Add a 3rd party integration
    • Test and tweak your AI Agent
    • Publish your AI Agent
    • OpenDialog Approach
    • OpenDialog Platform
    • OpenDialog Conversation Engine
    • Contexts and attributes
    • Designing your application
      • Conversation Design
        • Conversational Patterns
          • Introduction to conversational patterns
          • Building robust assistants
          • Openings
          • Authentication
          • Information collection
          • Recommendations
          • Extended telling
          • Repair
            • Types of repair
            • User request not understood
            • Example dialog
            • Additional information
          • Transfer
          • Closing
        • Best practices
      • Message Design
      • Webchat Interface design
      • Accessibility
      • Inclusive design
    • Leveraging Generative AI
    • 3rd party Integrations in your application
    • Previewing your application
    • Launching your application
    • Monitoring your application
    • Debugging your application
    • Translating your application
    • Additional menu links
    • FAQ
    • Troubleshooting and Common Problems
    • Integrating with OpenDialog
    • WebChat
    • [Legacy] External APIs
    • Public APIs
    • Release Notes
    • Version 3 Upgrade Guide
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For the complete documentation index, see llms.txt. This page is also available as Markdown.
  1. CREATE AI APPLICATIONS
  2. Designing your application
  3. Conversation Design
  4. Conversational Patterns
  5. Repair

Additional information

Resources and Links

  • Academic literature

    • Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns

    • Say it Like You Mean it: Priming for Structure in Caller Responses to a Spoken Dialog System

    • An Introduction to Conversation Analysis

    • A data-driven model of explanations for a chatbot that helps to practice conversation in a foreign language

    • The Preference for Self-Correction in the Organization of Repair in Conversation

    • ​​Conversational Repair in Chatbots for Customer Service: The Effect of Expressing Uncertainty and Suggesting Alternatives

  • Web resources, blogs

    • Repair in Conversation Analysis

Research Highlights

Users prefer repair with options listed (Ashktorab et al. 2019), and options should probably be listed before the question (Sheeder & Balogh 2003).

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Last updated 3 years ago

  • Resources and Links
  • Research Highlights