# Additional information

## Resources and Links <a href="#h.t23f6ncuijwz" id="h.t23f6ncuijwz"></a>

* Academic literature
  * [Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns](https://dl.acm.org/doi/10.1145/3290605.3300484)
  * [Say it Like You Mean it: Priming for Structure in Caller Responses to a Spoken Dialog System](https://link.springer.com/article/10.1023/A:1022326328600)
  * [An Introduction to Conversation Analysis](https://www.google.com/books/edition/An_Introduction_to_Conversation_Analysis/kpI6EAAAQBAJ?hl=en\&gbpv=0)
  * [A data-driven model of explanations for a chatbot that helps to practice conversation in a foreign language](https://aclanthology.org/W17-5547.pdf)
  * [The Preference for Self-Correction in the Organization of Repair in Conversation](https://www.researchgate.net/publication/230876456_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](https://link.springer.com/chapter/10.1007/978-3-030-39540-7_14)
* Web resources, blogs
  * [Repair in Conversation Analysis](https://www.thoughtco.com/repair-speech-1692044)

## Research Highlights

Users prefer repair with options listed ([Ashktorab et al. 2019](https://dl.acm.org/doi/10.1145/3290605.3300484)), and options should probably be listed before the question ([Sheeder & Balogh 2003](https://link.springer.com/article/10.1023/A:1022326328600)).


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