How would you say that? Pictures elicit better NLG data from the crowd.
Table 2: Nature of the data collected with each MR. Italics denote averages across all numbers of attributes.
['[EMPTY]', '[BOLD] Textual MR Mean', '[BOLD] Textual MR StDev', '[BOLD] Pictorial MR Mean', '[BOLD] Pictorial MR StDev']
A two-way ANOVA was conducted to examine the effect of MR modality and the number of attributes on average task duration. The difference between two modalities was not significant, with p=0.76. There was no statistically significant interaction between the effects of modality and the number of attributes in the MR, on time taken to collect the data. A main effects analysis showed that the average duration of utterance creation was significantly longer for larger numbers of attributes, F(2,1236) = 24.99, p<0.001, as expected. A two-way ANOVA was conducted to examine the effect of MR modality and the number of attributes on the length of utterance. There was a statistically significant interaction between the effects of modality and the number of attributes in the MR, F(2,1236) = 23.74, p<0.001. A main effects analysis showed that the average length of utterance was significantly larger not only for a larger number of attributes, with p<0.001, but also for the utterances created based on a textual/logical MR which had a higher number of attributes, p<0.001. A two-way ANOVA was conducted to examine the effect of MR modality and the number of attributes on the number of sentences per utterance. There was a statistically significant interaction between the effects of modality and the number of attributes in the MR, F(2,1236) = 3.83, p<0.05. A main effects analysis showed that the average number of sentences was significantly larger not only for a larger number of attributes, with p<0.001, but also for the utterances created based on a textual/logical MR which had a higher number of attributes, p<0.001.