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mimicry_of_prompt [2018/08/21 11:30]
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 ==== Mimicry of Prompts ==== ==== Mimicry of Prompts ====
 **// When designing grammars, take advantage of the tendency of callers to mimic the prompt they just heard //**\\ **// When designing grammars, take advantage of the tendency of callers to mimic the prompt they just heard //**\\
-Designers and researchers have noted the tendency of callers to mimic the wording of prompts (either initial prompts or the example prompting that supports open-ended prompts for systems using natural language understanding (NLU) and statistical language modeling (SLM)). For example, Knott, Bushey, and Martin (2004) reported that participants in their experiment had a strong tendency to mimic the examples presented in the prompts. From a prompt design perspective,​ this underscores the importance of selecting highly relevant examples and using optimal wording in prompts. From the grammar design perspective,​ this illustrates the need to ensure that grammars (whether FSG or SLM -- see [[Directed Dialog vs. SLM]]) are able to understand what callers are likely to say after having heard a prompt.+Designers and researchers have noted the tendency of callers to mimic the wording of prompts (either initial prompts or the example prompting that supports open-ended prompts for systems using natural language understanding (NLU) and statistical language modeling (SLM)). For example, ​[[references#​knott|Knott, Bushey, and Martin]] (2004) reported that participants in their experiment had a strong tendency to mimic the examples presented in the prompts. From a prompt design perspective,​ this underscores the importance of selecting highly relevant examples and using optimal wording in prompts. From the grammar design perspective,​ this illustrates the need to ensure that grammars (whether FSG or SLM -- see [[Directed Dialog vs. SLM]]) are able to understand what callers are likely to say after having heard a prompt.
  
 ==== References ==== ==== References ====
 Knott, B. A., Bushey, R. R., & Martin, J. M. (2004). Natural language prompts for an automated call router: Examples increase the clarity of user responses. In Proceedings of the Human Factors and Ergonomics Society 48th annual meeting (pp. 736–739). Santa Monica, CA: Human Factors and Ergonomics Society. Knott, B. A., Bushey, R. R., & Martin, J. M. (2004). Natural language prompts for an automated call router: Examples increase the clarity of user responses. In Proceedings of the Human Factors and Ergonomics Society 48th annual meeting (pp. 736–739). Santa Monica, CA: Human Factors and Ergonomics Society.