Evidence map›Paper›PMID 39627271›Full record

ArticleScientific reports2024

Social attention in the wild - fixations to the eyes and autistic traits during a naturalistic interaction in a healthy sample.

Raimund Buehler, Ulrich Ansorge, Giorgia Silani

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Raimund BuehlerDepartment of Clinical and Health Psychology, Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010, Vienna, Austria. raimund.buehler@univie.ac.at.
Ulrich AnsorgeDepartment of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.
Giorgia SilaniDepartment of Clinical and Health Psychology, Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010, Vienna, Austria. giorgia.silani@univie.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attention to social stimuli is a key component of social behavior and facilitates the development of fundamental social skills. Studies investigating social attention in neurotypical or neurodiverse populations have often relied on screen-based experiments using static images or videos, which lack the sensory richness and reciprocity present in real-life social interactions. This can possibly be attributed to the challenges one encounters when creating naturalistic experiments, such as dealing with dynamically moving areas of interest (AOIs), which require either time-intensive manual coding or restraining of participants. Here, we present findings from an experimental paradigm using unrestrained mobile eye-tracking and a face detection algorithm (MTCNN) to measure fixation rates during a semi-structured, face-to-face interview. Data from N = 62 healthy adult participants was analyzed for gaze behavior and related to participants' autistic traits. We observed a significant negative correlation between fixation rates on the eye region averaged over the entire interaction and scores on the autism spectrum quotient (AQ) (r = -0.14), indicating participants with high autistic traits fixated less frequently on the eye region. We also compared different types of interview questions (open vs. closed) to explore whether the reduction in fixation rates was more pronounced for specific time intervals during the interview. Lastly, we discuss both possibilities for extensions as well as limitations of the presented paradigm that could serve as inspiration for future research.

Indexed as

AttentionFixation, OcularSocial InteractionAdultAutistic DisorderEye MovementsEye-Tracking TechnologyFemaleHumansMaleSocial BehaviorYoung Adult

Identifiers

PMID39627271
PMCPMC11615244

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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.