Evidence map›Paper›PMID 32927722›Full record

SynthesisSensors (Basel, Switzerland)2020

Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing.

Javier Marín-Morales, Carmen Llinares, Jaime Guixeres, Mariano Alcañiz

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
–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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Physiological Responses to Virtual Reality-Based Stress Regulation and Relaxation Interventions: A Systematic Review.Stress and health : journal of the International Society for the Investigation of Stress · 2026
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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

4 authors.

Javier Marín-MoralesInstituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022 València, Spain.ORCID 0000-0003-1271-2892
Carmen LlinaresInstituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022 València, Spain.
Jaime GuixeresInstituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022 València, Spain.
Mariano AlcañizInstituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022 València, Spain.ORCID 0000-0001-9207-0636

Funding

European Commission H2020-825585 HELIOS
6 · The paper itself

Abstract

Emotions play a critical role in our daily lives, so the understanding and recognition of emotional responses is crucial for human research. Affective computing research has mostly used non-immersive two-dimensional (2D) images or videos to elicit emotional states. However, immersive virtual reality, which allows researchers to simulate environments in controlled laboratory conditions with high levels of sense of presence and interactivity, is becoming more popular in emotion research. Moreover, its synergy with implicit measurements and machine-learning techniques has the potential to impact transversely in many research areas, opening new opportunities for the scientific community. This paper presents a systematic review of the emotion recognition research undertaken with physiological and behavioural measures using head-mounted displays as elicitation devices. The results highlight the evolution of the field, give a clear perspective using aggregated analysis, reveal the current open issues and provide guidelines for future research.

Indexed as

EmotionsMachine LearningVirtual RealityHumansaffective computingemotion elicitationemotion recognitionhead-mounted displaymachine learningvirtual reality

Identifiers

PMID32927722
PMCPMC7570837

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.