Mental Health promotion of cobot Workers in Industry 4.0

Leistungen

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.

Veröffentlichungen

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

Autoren: 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
Veröffentlicht in: Human Factors and Ergonomics in Manufacturing & Service Industries, 2022, ISSN 1090-8471
Herausgeber: John Wiley & Sons Inc.
DOI: 10.1002/hfm.20952

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

Autoren: Cristina Brambilla; Matteo Malosio; Gianluigi Reni; Alessandro Scano
Veröffentlicht in: Biology; Volume 11; Ausgabe 3; Pages: 391, 2022, ISSN 2079-7737
Herausgeber: 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

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

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

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

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

Autoren: C. Carissoli, L. Negri, M. Bassi, F.A. Storim, A. Delle Fave
Veröffentlicht in: International Journal of Huma-Computer Interaction, 2023, Seite(n) 1-20, ISSN 1532-7590
Herausgeber: 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

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

On the Generalizability of ECG-based Stress Detection Models

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

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

Autoren: Matteo Lavit Nicora, Sebastian Beyrodt, Dimitra Tsovaltzi, Fabrizio Nunnari, Patrick Gebhard, Matteo Malosio
Veröffentlicht in: Human-Robot Interaction for Wellbeing, 2022
Herausgeber: 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

Autoren: Prajod, P., Huber, T., André, E.
Veröffentlicht in: MultiMedia Modeling. MMM 2022, 2022, ISBN 978-3-030-98358-1
Herausgeber: 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

Autoren: C. Dei, M.M. Falerni, M.L. Nicora, M. Chiappini, M. Malosio, F.A. Storm
Veröffentlicht in: 2023
Herausgeber: N/A
DOI: 10.48550/arxiv.2304.14191

Employing socially interactive agents for robotic neurorehabilitation training

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

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