Evidence map›Paper›PMID 38351036›Full record

ArticleScientific reports2024

A deepfake-based study on facial expressiveness and social outcomes.

Laetitia A Renier, Kumar Shubham, Rahil Satyanarayan Vijay, Swasti Shreya Mishra, Emmanuelle P Kleinlogel, Dinesh Babu Jayagopi, Marianne Schmid Mast

Abstract read
PubMed Full text at PMC Publisher
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

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

2 citing papers in PubMed.

  1. Review
  2. Article
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

7 authors.

Laetitia A RenierDepartment of Organizational Behavior, Faculty of Business and Economics (HEC), University of Lausanne, Internef #558, 1015, Lausanne, Switzerland. laetitia.renier@unil.ch.
Kumar ShubhamInternational Institute of Information Technology, Bangalore, India.
Rahil Satyanarayan VijayInternational Institute of Information Technology, Bangalore, India.
Swasti Shreya MishraInternational Institute of Information Technology, Bangalore, India.
Emmanuelle P KleinlogelCEMOI Laboratory, IAE Reunion, University of Reunion Island, Saint Denis, France.
Dinesh Babu JayagopiInternational Institute of Information Technology, Bangalore, India.
Marianne Schmid MastDepartment of Organizational Behavior, Faculty of Business and Economics (HEC), University of Lausanne, Internef #558, 1015, Lausanne, Switzerland.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung CRSII5_183564
6 · The paper itself

Abstract

Artificial intelligence (AI)-generated media is used in entertainment, art, education, and marketing. AI-generated faces or facial expressions using deepfake-based technologies might also contribute to nonverbal behavior studies. As a proof of concept, in this research, we test the replicability of past results regarding the positive effects of facial expressiveness (e.g., gazing, nodding, and smiling) on social outcomes. Because the facial expressions when listening to someone (i.e., nonverbal immediacy) encompass several behaviors that are typically related (i.e., smiling while nodding), the effect of combinations of these behaviors is challenging to study. We thus test the effect of facial expressiveness (gazing, nodding, and smiling vs. none) on first impression judgements in a job interview setting using AI-generated experimental video material. We measure how competent, warm, and favorably independent observers (n = 823) perceive the targets (n = 159) showing AI-generated facial expressions. Our results replicate past research showing that the more targets are facially expressive, the more they are perceived favorably. Apart from supporting evidence of the importance of facial expressiveness for conveying a positive impression, we show the benefits of relying on AI-generated experimental video material for the study of nonverbal behavior.

Indexed as

Artificial IntelligenceFacial ExpressionSmiling

Identifiers

PMID38351036
PMCPMC10864353

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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.