Towards Context-Aware Facial Emotion Reaction Database for Dyadic Interaction Settings.

Abdallah Hussein Sham, Amna Khan, David Lamas, Pia Tikka, Gholamreza Anbarjafari

Open access · goldAbstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

1.5field-weighted citation impact, top 18% of its field

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

1 citing paper in PubMed, 6 citations in OpenAlex.

Computer Vision in Human Analysis: From Face and Body to Clothes.Sensors (Basel, Switzerland) · 2023
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

5 authors at 2 institutions in 2 countries.

Abdallah Hussein ShamDigital Technology Institute, Tallinn University, Narva mnt 25, 10120 Tallinn, Estonia.ORCID 0000-0003-1773-904X

Amna KhanDigital Technology Institute, Tallinn University, Narva mnt 25, 10120 Tallinn, Estonia.

David LamasDigital Technology Institute, Tallinn University, Narva mnt 25, 10120 Tallinn, Estonia.

Pia TikkaEnactive Virtuality Lab, Tallinn University, Narva mnt 25, 10120 Tallinn, Estonia.ORCID 0000-0003-3658-7993

Gholamreza AnbarjafariiCV Lab, University of Tartu, Narva mnt 18, 51009 Tartu, Estonia.ORCID 0000-0001-8460-5717

Tallinn University · EEYıldız Technical University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emotion recognition is a significant issue in many sectors that use human emotion reactions as communication for marketing, technological equipment, or human-robot interaction. The realistic facial behavior of social robots and artificial agents is still a challenge, limiting their emotional credibility in dyadic face-to-face situations with humans. One obstacle is the lack of appropriate training data on how humans typically interact in such settings. This article focused on collecting the facial behavior of 60 participants to create

Indexed as

EmotionsInterpersonal RelationsAwarenessCommunicationFacial ExpressionHumansRecognition, Psychologydata collectionemotion reactionemotion recognitionfacial expression analysisresponsible AI

Identifiers

PMID36617055

DOI10.3390/s23010458

PMCPMC9824663

OpenAlexW4313471285

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.