Evidence map›Paper›PMID 42643925›Full record

ArticleResearch in autism2025

Impact of conversational context on gaze patterns of autistic and non-autistic adolescents.

Ruth B Grossman, Amelia Rees, Julia Mertens, Emily Zane

Abstract read
In one paragraph

Article in Research in autism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ruth B GrossmanFACE Lab at Emerson College, Boston, MA, USA.
Amelia ReesFACE Lab at Emerson College, Boston, MA, USA.
Julia MertensBoston Fusion Corporation, Boston, MA, USA.
Emily ZaneEmily Zane, James Madison University, Harrisonburg, VA, USA.

Funding

Verbal/non-verbal asynchrony in adolescents with high-functioning AutismR01DC012774 · NIDCD · EMERSON COLLEGE · PI GROSSMAN, RUTH B. · 2013 to 2016
$1.5M
NIDCD NIH HHS R01 DC012774
6 · The paper itself

Abstract

Purpose: Few studies of social gaze by autistic individuals have focused on live interactions and those studies have been limited to conversations with a single partner. The purpose of this study was to investigate the impact of conversational variations in cognitive load on social gaze of autistic and non-autistic adolescents while engaging with two conversation partners. Methods: Participants engaged in a conversation where two research assistants (RAs) and the participant each shared personal memories and engaged with each other through question asking and commenting. We used eye-tracking glasses to record and analyze participants' gaze in response to two questions: One question was open-ended and referenced an unusual topic (high cognitive demand), while the other question required a simple yes or no response about a common topic (low cognitive demand). Results: Non-autistic adolescents gazed more at the faces of either RA than their autistic peers. Both participant groups gazed more at the face of the RA who had just asked a question. Post-hoc pairwise comparisons revealed that non-autistic participants gazed significantly more at the RA asking the yes/no question than the RA asking the open-ended question condition, but autistic participants showed no such gaze difference across question type. Conclusion: These findings indicate a pattern of interactional gaze that is influenced not only by neurotype, but also by conversational features, such as the difficulty of the question and the overall social demands of interacting with more than one person.

Indexed as

Autismcognitionconversationeye gaze

Identifiers

PMID42643925
PMCPMC13505974

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.