Evidence map›Paper›PMID 41978063›Full record

ArticleSensors (Basel, Switzerland)2026

Co-Design of Smartphone- and Smartwatch-Based Occupational Health Visualisations in Office Environments.

Phillip Probst, Sara Santos, Gonçalo Barros, Mariana Morais, Sofia Garcia, Philipp Koch, Jorge Barroso Dias, Ana Leal, Rute Periquito, Sofia André and 4 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Phillip ProbstLIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), Department of Physics, NOVA School of Science and Technology, NOVA University Lisbon, Largo da Torre, 2829-516 Caparica, Portugal.ORCID 0000-0003-3239-9813
Sara SantosLIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), Department of Physics, NOVA School of Science and Technology, NOVA University Lisbon, Largo da Torre, 2829-516 Caparica, Portugal.ORCID 0009-0001-5084-0249
Gonçalo BarrosCoimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Instituto de Ciências Nucleares Aplicadas à Saúde (ICNAS), University of Coimbra, R. Santa Comba, Celas, 3000-548 Coimbra, Portugal.
Mariana MoraisLIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), Department of Physics, NOVA School of Science and Technology, NOVA University Lisbon, Largo da Torre, 2829-516 Caparica, Portugal.ORCID 0009-0001-2644-0771
Sofia GarciaLIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), Department of Physics, NOVA School of Science and Technology, NOVA University Lisbon, Largo da Torre, 2829-516 Caparica, Portugal.ORCID 0009-0000-5320-3432
Philipp KochGerman Research Center for Artificial Intelligence (DFKI), 23562 Lübeck, Germany.
Jorge Barroso DiasDSHS (Departamento de Saúde, Higiene e Segurança), Câmara Municipal de Lisboa, Avenida Ressano Garcia 2, 1070-228 Lisbon, Portugal.
Ana LealDSHS (Departamento de Saúde, Higiene e Segurança), Câmara Municipal de Lisboa, Avenida Ressano Garcia 2, 1070-228 Lisbon, Portugal.
Rute PeriquitoDSHS (Departamento de Saúde, Higiene e Segurança), Câmara Municipal de Lisboa, Avenida Ressano Garcia 2, 1070-228 Lisbon, Portugal.
Sofia AndréDSHS (Departamento de Saúde, Higiene e Segurança), Câmara Municipal de Lisboa, Avenida Ressano Garcia 2, 1070-228 Lisbon, Portugal.ORCID 0009-0003-6294-2108
Tiago MatosoDSHS (Departamento de Saúde, Higiene e Segurança), Câmara Municipal de Lisboa, Avenida Ressano Garcia 2, 1070-228 Lisbon, Portugal.
Cristina PinhoDSHS (Departamento de Saúde, Higiene e Segurança), Câmara Municipal de Lisboa, Avenida Ressano Garcia 2, 1070-228 Lisbon, Portugal.
Ricardo VigárioLIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), Department of Physics, NOVA School of Science and Technology, NOVA University Lisbon, Largo da Torre, 2829-516 Caparica, Portugal.ORCID 0000-0003-0950-6035
Hugo GamboaLIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), Department of Physics, NOVA School of Science and Technology, NOVA University Lisbon, Largo da Torre, 2829-516 Caparica, Portugal.ORCID 0000-0002-4022-7424

Funding

Fundação para a Ciência e Tecnologia 2024.07630.IACDCFundação para a Ciência e Tecnologia RT/BD/152843/2021
6 · The paper itself

Abstract

Office workers are exposed to a range of occupational health risks, including prolonged sedentary behaviour, postural load, elevated heart rate, and noise, yet objective and continuous monitoring of these risk factors in workplace settings remains uncommon. This study aimed to co-design occupational health visualisations based on smartphone and smartwatch data, through a multi-stakeholder group of office workers and occupational health professionals. A generative co-design framework was applied, comprising a pre-design phase with a field study and questionnaire, a structured multi-stakeholder workshop, and a follow-up evaluation session. Thematic analysis of the workshop transcript yielded 17 occupational health themes, which were subsequently assessed for technical feasibility relative to the available sensing platform. Of the 27 discrete visualisation elements proposed across both groups, the majority were classified as directly addressable using smartphone and smartwatch sensor data. Visualisations covering physical activity, heart rate, environmental noise exposure, and postural load were implemented in Python using real-world data collected from office workers. The follow-up session provided qualitative confirmation that the developed visualisations were interpretable and aligned with the stakeholder expectations. The generative co-design framework proved well-suited to the occupational health visualisation context, enabling structured translation of stakeholder requirements into technically feasible and interpretable visualisation outputs.

Indexed as

Occupational HealthSmartphoneDigital HealthExerciseHeart RateHumansWorking ConditionsWorkplacebiomedical engineeringco-designdata visualisationoccupational healthoffice environments

Identifiers

PMID41978063
PMCPMC13075341

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.