Autism Quotient Scores Modulate the Perception and Production of Text Specificity in Typical Adult Females
Objectives: Test whether people with high- vs. low-Autism Quotient scores (AQ; Baron-Cohen et al., 2001) differ in their (1) perception of sentence specificity and (2) propensity to generalize content during a summarization task, as indicated by automatic measures of sentence specificity.
Methods: Participants included 62 typically developing undergraduate students (38 females, all native speakers of English). Participants took the AQ test (higher scores indicate more ASD-like symptoms), rated for specificity 40 sentences drawn from news (0-6, lower rating=more specific), and summarized two texts, one with rich specific detail and one more general. An automated specificity measurement tool was applied to the original articles and to article summaries produced by participants. We computed Spearman correlations between participants’ AQ scores and: (1) the deviation of their sentence specificity ratings from average sentence ratings collected from ~30 independent raters per sentence, and (2) specificity scores of the article summaries.
Results: Preliminary analyses revealed significant gender differences in both AQ and specificity judgments; male and female data were thus analyzed separately. We found no correlation (rho=-0.01) between male judgments of specificity and AQ. For females, however, the correlation between perceived specificity and AQ score was -0.29, trending toward significance (p=0.08). Women with higher AQ scores perceived sentences to be more specific than women with lower AQ scores. In the summarization task, we found that females with higher AQ scores tended to write summaries that were more general (rho=-0.22, p=0.18).
Conclusions: Our study is the first to examine the perception and production of linguistic specificity in people with varying degrees of autism-like symptoms. Although preliminary, our results reveal previously unexplored gender differences, which we plan to confirm with a larger sample and participants with official ASD diagnoses (anticipated by May 2017). This is the first step in a research program aimed at developing technology-augmented interventions to visualize the mismatch in expectations regarding specificity to both typical people and individuals with ASD, to improve the quality of communication across the two groups. Furthermore, we aim to develop a battery of tests to quantify an individual’s perception of specificity, and explore the use of these metrics for assessing intervention effectiveness.