Table 2.
Studies on visual narrative processing reporting significant interactions between scores from the Visual Language Fluency Index questionnaire and behavioral or neurocognitive measures
| Paper | Measure | Processing type | Effect of fluency |
|---|---|---|---|
| Cohn et al. (2012) | Reaction times | Narrative and semantic structure | Faster RTs for greater fluency |
| ERP effects | Narrative structure | Larger amplitude ERP effects for greater fluency | |
| Cohn & Kutas (2015) | ERP effects | Narrative and inference | Larger amplitude ERP effects for greater fluency |
| Cohn & Kutas (2017) | ERP effects | Narrative patterning | Different ERP components for familiarity with narrative pattern |
| Cohn & Maher (2015) | ERP effects | Morphological incongruity | Larger amplitude ERP effects for greater fluency |
| Self-paced viewing times | Morphological incongruity | Longer viewing times to anomalies for greater fluency | |
| Cohn & Wittenberg (2015) | Self-paced viewing times | Inference | Shorter viewing times for greater fluency |
| Cohn & Bender (2017) | Segmentation choices | Narrative segmentation | Segmentation choices were easier with greater fluency |
| Hagmann & Cohn (2016) | Accuracy | Narrative structure | Greater tolerance of incongruity for greater fluency |
| Cohn et al. (2016) | Ratings | Morphological familiarity and interpretations | Less tolerance of incongruity for greater fluency |
| Bateman et al. (2018) | Eye movements | Layout | More fluency associated with more consistent reading paths across panels |
| Kirtley et al. (2018) | Eye movements | Text-image relationships | Larger saccades within panels for greater fluency |