Adjusting Image Attributes of Localized Regions with Low-level Dialogue
Table 2: Performance ratings by users. ImaDial received a Fair to Good rating.
['Rating', 'Very Poor', 'Poor', 'Fair', 'Good', 'Excellent']
Performance ratings are rated on a 5-point Likert Scale from Very Poor, Poor, Fair, Good, to Excellent. Good received the most ratings (29), and few users (10) rated our system as Very Poor or Excellent. For system features, we choose NLU-refer (NLU performance on refer), Vision Engine (Object segmentation), NLU-attribute/value (NLU performance on attribute and value) for rating. attribute and value were combined because of similar preprocessing. According to a statement “I found it difficult for the chatbot to  ”, where   is a system feature description, system features are rated on a 4-point Likert Scale, from Strongly Disagree, Disagree, Agree, to Strongly Agree. Most users agreed the system had difficulty tracking refer and for the Vision Engine inferring the correct mask. Most users agreed that the system could correctly track attribute and value.