Mental Health promotion of cobot Workers in Industry 4.0

Informazioni relative al progetto

MindBot

ID dell’accordo di sovvenzione: 847926

DOI

10.3030/847926

Progetto chiuso

Data della firma CE 22 Novembre 2019

Data di avvio 1 Gennaio 2020

Data di completamento 30 Settembre 2023

Finanziato da

• SOCIETAL CHALLENGES - Health, demographic change and well-being

Costo totale

€ 3 919 863,75

Contributo UE

€ 3 908 863,75

Coordinato da

IRCCS - ASSOCIAZIONE LA NOSTRA FAMIGLIA 'ISTITUTO SCIENTIFICO EUGENIO MEDEA'
Italy

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (7)

Communication and Dissemination Plan

This will include the strategy for the communication and dissemination activities

List of SMEs

Report including list of selected SMEs

MindBot platform validation report

The report will provide more knowledge about effective interventions by employers to promote good mental health, and about the barriers to effective implementation of such interventions, in particular for SMEs adopting cobots

Psychological, psychosocial and organizational data integration report using SHEL model

This includes psychological measures, indicators of organizational performance, social network analysis and qualitative analysis of workers' experience with MindBot platform.

Technical guidelines for the design of cobots able to increase workers' state of well-being

Technical guidelines for the design of cobots that may contribute to foster workers wellbeing experiences and pave the way towards improved policies on mental health in the workplace

Organizational guidelines for the design of an adequate manufacturing workplace adopting advanced cobots

These organizational guidelines will contribute to improved mental health in the workplace

MindBot employment model for persons diagnosed with ASD

This deliverable is the employment model for persons diagnosed with autism spectrum disorders in manufacturing SMEs adopting advanced cobots

Demonstrators, pilots, prototypes (1)

MindBot platform implemented in the workplace and/or in a laboratory environment

Prototype of the MindBot platform in the SME that could have an impact on productivity and economic results of workplaces.

Other (1)

Protocol and data publication on free on line repository

Final protocol and de-identified collected data are stored in a public repository.

Pubblicazioni

Peer reviewed articles (5)

Physical and mental well-being of cobot workers: A scoping review using the Software-Hardware-Environment-Liveware-Liveware-Organization model

Autori: Fabio A. Storm; Mattia Chiappini; Carla Dei; Caterina Piazza; Elisabeth André; Nadine Reißner; Ingrid Brdar; Antonella Delle Fave; Patrick Gebhard; Matteo Malosio; Alberto Peña Fernández; Snježana Štefok; Gianluigi Reni
Pubblicato in: Human Factors and Ergonomics in Manufacturing & Service Industries, 2022, ISSN 1090-8471
Editore: John Wiley & Sons Inc.
DOI: 10.1002/hfm.20952

Optimal Biomechanical Performance in Upper-Limb Gestures Depends on Velocity and Carried Load

Autori: Cristina Brambilla; Matteo Malosio; Gianluigi Reni; Alessandro Scano
Pubblicato in: Biology; Volume 11; Numero 3; Pages: 391, 2022, ISSN 2079-7737
Editore: MDPI
DOI: 10.3390/biology11030391

Biomechanical Assessments of the Upper Limb for Determining Fatigue, Strain and Effort from the Laboratory to the Industrial Working Place: A Systematic Review

Autori: Cristina Brambilla; Matteo Lavit Nicora; Fabio Storm; Gianluigi Reni; Matteo Malosio; Alessandro Scano
Pubblicato in: Bioengineering, Numero 4, 2023, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/bioengineering10040445

Behavioral patterns in robotic collaborative assembly: comparing neurotypical and Autism Spectrum Disorder participants

Autori: Mondellini M., Prajod P., Lavit Nicora M., Chiappini M., Micheletti E., Storm F.A., Vertechy R., André E. and Malosio M.
Pubblicato in: Frontiers Psychology, Numero 14, 2023, ISSN 1664-1078
Editore: Frontiers Research Foundation
DOI: 10.3389/fpsyg.2023.1245857

Mental Workload and Human-Robot Interaction in Collaborative tasks: A Scoping Review

Autori: C. Carissoli, L. Negri, M. Bassi, F.A. Storim, A. Delle Fave
Pubblicato in: International Journal of Huma-Computer Interaction, 2023, Pagina/e 1-20, ISSN 1532-7590
Editore: Taylor & Francis Online
DOI: 10.1080/10447318.2023.2254639

Conference proceedings (6)

Do Deep Neural Networks Forget Facial Action Units? - Exploring the Effects of Transfer Learning in Health-Related Facial Expression Recognition

Autori: Prajod, P., Schiller, D., Huber, T., André, E.
Pubblicato in: AI for Disease Surveillance and Pandemic Intelligence, 2022, ISBN 978-3-030-93080-6
Editore: Springer
DOI: 10.1007/978-3-030-93080-6_16

On the Generalizability of ECG-based Stress Detection Models

Autori: Pooja Prajod, Elisabeth André
Pubblicato in: Proceedings 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA 2022), 2022, ISBN 978-1-6654-6283-9
Editore: IEEE
DOI: 10.48550/arxiv.2210.06225

Towards social embodied cobots: The integration of an industrial cobot with a social virtual agent

Autori: Matteo Lavit Nicora, Sebastian Beyrodt, Dimitra Tsovaltzi, Fabrizio Nunnari, Patrick Gebhard, Matteo Malosio
Pubblicato in: Human-Robot Interaction for Wellbeing, 2022
Editore: N/A
DOI: 10.48550/arxiv.2301.06471

Using Explainable AI to Identify Differences Between Clinical and Experimental Pain Detection Models Based on Facial Expressions

Autori: Prajod, P., Huber, T., André, E.
Pubblicato in: MultiMedia Modeling. MMM 2022, 2022, ISBN 978-3-030-98358-1
Editore: Springer
DOI: 10.1007/978-3-030-98358-1_25

Design of a multimodal device to improve well-being of autistic workers interacting with collaborative robots

Autori: C. Dei, M.M. Falerni, M.L. Nicora, M. Chiappini, M. Malosio, F.A. Storm
Pubblicato in: 2023
Editore: N/A
DOI: 10.48550/arxiv.2304.14191

Employing socially interactive agents for robotic neurorehabilitation training

Autori: Rhythm Arora, Matteo Lavit Nicora, Pooja Prajod, Daniele Panzeri, Elisabeth André, Patrick Gebhard, Matteo Malosio
Pubblicato in: The 5th Workshop on Behavior Adaptation Interaction and Learning for Assistive Robotics (BAILAR), 2021
Editore: N/A
DOI: 10.48550/arxiv.2206.01587