Mental Health promotion of cobot Workers in Industry 4.0

Livrables

This will include the strategy for the communication and dissemination activities

Report including list of selected SMEs

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

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.

Protocol and data publication on free on line repository

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

Publications

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

Auteurs: 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
Publié dans: Human Factors and Ergonomics in Manufacturing & Service Industries, 2022, ISSN 1090-8471
Éditeur: John Wiley & Sons Inc.
DOI: 10.1002/hfm.20952

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

Auteurs: Cristina Brambilla; Matteo Malosio; Gianluigi Reni; Alessandro Scano
Publié dans: Biology; Volume 11; Numéro 3; Pages: 391, 2022, ISSN 2079-7737
Éditeur: 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

Auteurs: Cristina Brambilla; Matteo Lavit Nicora; Fabio Storm; Gianluigi Reni; Matteo Malosio; Alessandro Scano
Publié dans: Bioengineering, Numéro 4, 2023, ISSN 2078-2489
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/bioengineering10040445

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

Auteurs: Mondellini M., Prajod P., Lavit Nicora M., Chiappini M., Micheletti E., Storm F.A., Vertechy R., André E. and Malosio M.
Publié dans: Frontiers Psychology, Numéro 14, 2023, ISSN 1664-1078
Éditeur: Frontiers Research Foundation
DOI: 10.3389/fpsyg.2023.1245857

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

Auteurs: C. Carissoli, L. Negri, M. Bassi, F.A. Storim, A. Delle Fave
Publié dans: International Journal of Huma-Computer Interaction, 2023, Page(s) 1-20, ISSN 1532-7590
Éditeur: Taylor & Francis Online
DOI: 10.1080/10447318.2023.2254639

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

Auteurs: Prajod, P., Schiller, D., Huber, T., André, E.
Publié dans: AI for Disease Surveillance and Pandemic Intelligence, 2022, ISBN 978-3-030-93080-6
Éditeur: Springer
DOI: 10.1007/978-3-030-93080-6_16

On the Generalizability of ECG-based Stress Detection Models

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

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

Auteurs: Matteo Lavit Nicora, Sebastian Beyrodt, Dimitra Tsovaltzi, Fabrizio Nunnari, Patrick Gebhard, Matteo Malosio
Publié dans: Human-Robot Interaction for Wellbeing, 2022
Éditeur: 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

Auteurs: Prajod, P., Huber, T., André, E.
Publié dans: MultiMedia Modeling. MMM 2022, 2022, ISBN 978-3-030-98358-1
Éditeur: 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

Auteurs: C. Dei, M.M. Falerni, M.L. Nicora, M. Chiappini, M. Malosio, F.A. Storm
Publié dans: 2023
Éditeur: N/A
DOI: 10.48550/arxiv.2304.14191

Employing socially interactive agents for robotic neurorehabilitation training

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

Livrables

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