Evidence map›Paper›PMID 33810613›Full record

ArticleSensors (Basel, Switzerland)2021

Wearable Technologies for Mental Workload, Stress, and Emotional State Assessment during Working-Like Tasks: A Comparison with Laboratory Technologies.

Andrea Giorgi, Vincenzo Ronca, Alessia Vozzi, Nicolina Sciaraffa, Antonello di Florio, Luca Tamborra, Ilaria Simonetti, Pietro Aricò, Gianluca Di Flumeri, Dario Rossi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
10.5field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 71 citations in OpenAlex.

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  15. Improving Psychiatry Services with Artificial Intelligence: Opportunities and Challenges.Turk psikiyatri dergisi = Turkish journal of psychiatry · 2024
    Review
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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

11 authors at 3 institutions in 1 country.

Andrea GiorgiBrainSigns, SRL, 00185 Rome, Italy.ORCID 0000-0001-6220-3389
Vincenzo RoncaBrainSigns, SRL, 00185 Rome, Italy.ORCID 0000-0002-7174-6331
Alessia VozziBrainSigns, SRL, 00185 Rome, Italy.
Nicolina SciaraffaBrainSigns, SRL, 00185 Rome, Italy.
Antonello di FlorioBrainSigns, SRL, 00185 Rome, Italy.
Luca TamborraDepartment of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University, 00185 Rome, Italy.
Ilaria SimonettiDepartment of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University, 00185 Rome, Italy.
Pietro AricòBrainSigns, SRL, 00185 Rome, Italy.ORCID 0000-0002-3831-6620
Gianluca Di FlumeriBrainSigns, SRL, 00185 Rome, Italy.ORCID 0000-0003-4426-051X
Dario RossiBrainSigns, SRL, 00185 Rome, Italy.
Gianluca BorghiniBrainSigns, SRL, 00185 Rome, Italy.ORCID 0000-0001-8560-5671
Sapienza University of Rome · ITFondazione Santa Lucia · ITLibera Università Internazionale degli Studi Sociali Guido Carli · IT

Funding

MINDTOOTH: Wearable device to decode human mind by neurometrics for a new concept of smart interaction with the surrounding environment 950998SAFEMODE: Strengthening synergies between Aviation and maritime in the area of human Factors towards achieving more Efficient and resilient MODE of transportation 814961SIMUSAFE: Simulator Of Behavioral Aspects For Safer Transport 723386WORKINGAGE: Smart Working environments for all Ages 826232
6 · The paper itself

Abstract

The capability of monitoring user's performance represents a crucial aspect to improve safety and efficiency of several human-related activities. Human errors are indeed among the major causes of work-related accidents. Assessing human factors (HFs) could prevent these accidents through specific neurophysiological signals' evaluation but laboratory sensors require highly-specialized operators and imply a certain grade of invasiveness which could negatively interfere with the worker's activity. On the contrary, consumer wearables are characterized by their ease of use and their comfortability, other than being cheaper compared to laboratory technologies. Therefore, wearable sensors could represent an ideal substitute for laboratory technologies for a real-time assessment of human performances in ecological settings. The present study aimed at assessing the reliability and capability of consumer wearable devices (i.e., Empatica E4 and Muse 2) in discriminating specific mental states compared to laboratory equipment. The electrooculographic (EOG), electrodermal activity (EDA) and photoplethysmographic (PPG) signals were acquired from a group of 17 volunteers who took part to the experimental protocol in which different working scenarios were simulated to induce different levels of mental workload, stress, and emotional state. The results demonstrated that the parameters computed by the consumer wearable and laboratory sensors were positively and significantly correlated and exhibited the same evidences in terms of mental states discrimination.

Indexed as

LaboratoriesWearable Electronic DevicesHeart RateHumansReproducibility of ResultsWorkloademotional stateeye blinks rateheart ratemental workloadskin conductance levelstresswearable device

Identifiers

PMID33810613
PMCPMC8036989
OpenAlexW3145360089

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.