Table 1: Types of repair
Table 1 shows that the vast majority of repairs are of trouble sources
in user turns (72), most of which are other-initiated but self-repaired.
This study will focuses on these on other-initiated self-repair of user
turns as these are representative examples of the bot misunderstanding,
or not understanding, the user’s intent.
Step 3: In the third step, the repairables in each repair sequences were
classified. This resulted in the identification of five different
repairable types were identified, as illustrated by Table 2.