OpenDialog Docs
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  • GETTING STARTED
    • Introduction
    • Getting ready
    • Quick Start AI Agents
  • STEP BY STEP GUIDES
    • AI Agent Creation Overview
    • Add a new topic of discussion
    • Use knowledge sources via RAG
    • Add a 3rd party integration
    • Test and tweak your AI Agent
    • Publish your AI Agent
  • CORE CONCEPTS
    • OpenDialog Approach
    • OpenDialog Platform
    • OpenDialog Conversation Engine
    • Contexts and attributes
  • CREATE AI APPLICATIONS
    • 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
    • FAQ
    • Troubleshooting and Common Problems
  • Developing With OpenDialog
    • Integrating with OpenDialog
    • Actions
    • WebChat
    • Interaction API
  • Release Notes
    • Release Notes
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On this page
  • Resources and Links
  • Research Highlights
  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 2 years ago