OpenDialog Patterns
  • A Pattern Library for Conversation
    • A "Read Me" for this Library
    • About this Library
  • The Pattern Library
    • Openings (Inge updated this)
      • Anatomy of an opening
      • Examples of transactional openings for text-based assistants (Inge added this WIP)
      • Additional Information
    • Authentication
      • Components
      • Example Dialog
      • Using in OpenDialog
    • Information Collection
      • Components
      • Example Dialog
      • Using in OpenDialog
      • Additional Information
    • Providing Recommendations
      • Components
      • Example Dialog
      • Using in OpenDialog
      • Additional Information
    • Extended Telling
      • Components
      • Example Dialog
      • Using in OpenDialog
      • Additional Information
    • Repair (Inge WIP)
      • Types of repair
      • User request not understood
      • Example Dialog
      • Using in OpenDialog
      • Additional Information
    • Transfer
      • Components
      • Example Dialog
      • Using in OpenDialog
      • Additional Information
    • Closing
      • Components
      • Example Dialog
      • Using in OpenDialog
      • Additional Information
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  1. The Pattern Library

Information Collection

Information is always being collected during a conversation, with every question, story, or any other exchange. But sometimes specific information is needed to accomplish the goal of the interaction. The information collection process could be system-driven, where the bot leads the user through specific areas of interest. It could also be user-driven, where the user provides an extended account. With user-driven information collection, the system must be capable of processing and handling the diversity of incoming information appropriately.

In addition to conversationally collected information, it is also possible to use external sources like a user profile or an API pass-through to collect information. In the components below, we discuss some common approaches to information collection with conversational bots.

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Last updated 3 years ago