We also acquired the personality and value scores of each Turker based on the IPIP personality and PVQ value survey.
for example, STOP is a Natural Language Generation (NLG) system that generates tailored smoking cessation letters based on a user's responses to a four-page smoking questionnaire (Reiter et al., 2003); PER-SIVAL customizes the content of search summaries based on its relevance to a given patient's health record (McKeown et al., 2003); MATCH (Johnston et al., 2002) is a multimodal dialogue system that tailors the content of its responses based on a user's restaurant preferences; M-PIRO (Burenhult, 2002) tailors the words and the complexity of museum object descriptions for different audiences (e.g.