Mental Health promotion of cobot Workers in Industry 4.0

Información del proyecto

MindBot

Identificador del acuerdo de subvención: 847926

DOI

10.3030/847926

Proyecto cerrado

Fecha de la firma de la CE 22 Noviembre 2019

Fecha de inicio 1 Enero 2020

Fecha de finalización 30 Septiembre 2023

Financiado con arreglo a

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

Coste total

€ 3 919 863,75

Aportación de la UE

€ 3 908 863,75

Coordinado por

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

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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.

Publicaciones

Peer reviewed articles (5)

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

Autores: 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
Publicado en: Human Factors and Ergonomics in Manufacturing & Service Industries, 2022, ISSN 1090-8471
Editor: John Wiley & Sons Inc.
DOI: 10.1002/hfm.20952

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

Autores: Cristina Brambilla; Matteo Malosio; Gianluigi Reni; Alessandro Scano
Publicado en: Biology; Volume 11; Edición 3; Pages: 391, 2022, ISSN 2079-7737
Editor: 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

Autores: Cristina Brambilla; Matteo Lavit Nicora; Fabio Storm; Gianluigi Reni; Matteo Malosio; Alessandro Scano
Publicado en: Bioengineering, Edición 4, 2023, ISSN 2078-2489
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/bioengineering10040445

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

Autores: Mondellini M., Prajod P., Lavit Nicora M., Chiappini M., Micheletti E., Storm F.A., Vertechy R., André E. and Malosio M.
Publicado en: Frontiers Psychology, Edición 14, 2023, ISSN 1664-1078
Editor: Frontiers Research Foundation
DOI: 10.3389/fpsyg.2023.1245857

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

Autores: C. Carissoli, L. Negri, M. Bassi, F.A. Storim, A. Delle Fave
Publicado en: International Journal of Huma-Computer Interaction, 2023, Página(s) 1-20, ISSN 1532-7590
Editor: 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

Autores: Prajod, P., Schiller, D., Huber, T., André, E.
Publicado en: AI for Disease Surveillance and Pandemic Intelligence, 2022, ISBN 978-3-030-93080-6
Editor: Springer
DOI: 10.1007/978-3-030-93080-6_16

On the Generalizability of ECG-based Stress Detection Models

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

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

Autores: Matteo Lavit Nicora, Sebastian Beyrodt, Dimitra Tsovaltzi, Fabrizio Nunnari, Patrick Gebhard, Matteo Malosio
Publicado en: Human-Robot Interaction for Wellbeing, 2022
Editor: 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

Autores: Prajod, P., Huber, T., André, E.
Publicado en: MultiMedia Modeling. MMM 2022, 2022, ISBN 978-3-030-98358-1
Editor: 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

Autores: C. Dei, M.M. Falerni, M.L. Nicora, M. Chiappini, M. Malosio, F.A. Storm
Publicado en: 2023
Editor: N/A
DOI: 10.48550/arxiv.2304.14191

Employing socially interactive agents for robotic neurorehabilitation training

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