Personal Technologies for Affective Health

Project Information

AffecTech

Grant agreement ID: 722022

DOI 10.3030/722022

Project closed

EC signature date 16 August 2016

Start date 1 January 2017

End date 31 March 2021

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 3 871 209,57

EU contribution € 3 871 209,57

Coordinated by

UNIVERSITY OF LANCASTER
United Kingdom

Deliverables

Other (12)

Measurement

Tools for measuring the efficacy of emotion regulation strategies in affective disorders, i.e. cognitive reappraisal (ESR5,8), biofeedback (ESR9), feedback’s modalities for cognitive reappraisal (ESR12) and biofeedback in mindfulness training (ESR13)

Training 5

e-learning AFFECTIVA platform hosting host learning materials from all network wide training events

Dissemination

Website completion, social media set up, i.e., Pinterest, Facebook, podcasts, blogs, Twitter, Google+

Prototypes 2

Technologies for emotional processing in affective disorders, i.e., integrated heart sensors and Kinect cameras for biofeedback interactive arts (ESR1), interactive systems exploring the organisation of episodic memories (ESR2), wearable systems for visualising & co-exploration of emotional experience (ESR3), integrating whole-body movement for capturing co-regulation in family settings (ESR4), capturing emotional sense making (ESR5), adaptive wearable system for processing emotional experience in depression (ESR12)

Guidelines 2

Design guidelines for training emotional regulation, i.e. mobile biofeedback system (ESR 9), mindfulness training at home (ESR13), design patterns for developing platforms integrating wearable and interactive systems (ESR 15)

Prototypes 3

Technologies for training emotion regulation, i.e., wearable systems for training cognitive reappraisal (ESR8), mobile app for the biofeedback management of stress (ESR9), wearables for training mindfulness at home (ESR13)

Prototypes

Technologies for capturing emotional experience and/or regulation, i.e. model-based wearable devices (ESR6), integrated wearable system for monitoring and management of bipolar disorder (ESR7), smartphone-based emotion regulation capturing tools (ESR10), system for unobtrusive stress monitoring at night (ESR11)

Publications

At least 5 conference + 3 journal papers for each ESR

PhD awards

PhD theses successfully defended

Guidelines

Design guidelines for developing interfaces for emotional processing, i.e., recall, understand and regulate (ESR2), embodied representation of associated physical and social processes (ESR3), whole-body movement for co-regulation (ESR4), mobile interfaces capturing self reports of regulation (ESR5)

Models

Models of emotional experience and regulation in affective disorders, i.e. embodiment (ESR1, ESR3), emotional memory organisation (ESR2), emotional awareness (ESR4), changing components of regulation (ESR5), evolution (ESR6) and management of affective disorders(ESR7), biofeedback for mobile settings (ESR9), affective state for persuasive feedback (ESR10), extend mood assessment with sleep quality (ESR11), ethical and social framework for affective health technologies in the wild (ESR15)

Training

Recruitment completed, i.e. all ESR1-15 are in place

Publications

Peer reviewed articles (3)

Closed-loop quantitative verification of rate-adaptive pacemakers

Author(s): N. Paoletti, A. Patane, M. Kwiatkowska
Published in: ACM Transactions on Cyber-Physical Systems, 2018, ISSN 2378-962X
Publisher: ACM

Semantic Place Understanding for Human–Robot Coexistence—Toward Intelligent Workplaces

Author(s): Stefano Rosa, Andrea Patane, Chris Xiaoxuan Lu, Niki Trigoni
Published in: IEEE Transactions on Human-Machine Systems, 2018, Page(s) 1-11, ISSN 2168-2291
Publisher: IEEE Systems, Man, and Cybernetics Society
DOI: 10.1109/THMS.2018.2875079

A hybrid intervention for challenging the stigma of mental illness.

Author(s): Coman, A. and Sas, C.
Published in: Bulletin of the Transilvania University of Brasov, Issue 9(58-2), 2016, Page(s) 73-80, ISSN 2066-7701
Publisher: Transilvania University of Brasov

Conference proceedings (7)

When Your Fitness Tracker Betrays You: Quantifying the Predictability of Biometric Features Across Contexts

Author(s): S. Eberz, G. Lovisotto, A. Patane, M. Kwiatkowska, V. Lenders and I. Martinovic
Published in: IEEE Symposium on Security and Privacy, 2018
Publisher: IEEE

CommonSense: Collaborative learning of scene semantics by robots and humans

Author(s): S. Rosa, A. Patane, X. Lu, and N. Trigoni
Published in: International Workshop on Internet of People, Assistive Robots and Things, Issue 1, 2018
Publisher: Association for Computing Machinery

Calibrating the Classifier: Siamese Neural Network Architecture for End-to-End Arousal Recognition from ECG

Author(s): A. Patane and M. Kwiatkowska
Published in: Fourth International Conference on Machine Learning, Optimization, and Data Science, 2018
Publisher: Springer

Automated Recognition of Sleep Arousal using Multimodal and Personalized Deep Ensembles of Neural Networks

Author(s): Patane, A., Ghiasi, S., Scilingo, E. P., & Kwiatkowska, M.
Published in: Proceedings of Computing in Cardiology, 2018
Publisher: IEEE

Robustness Guarantees for Bayesian Inference with Gaussian Processes

Author(s): Cardelli, L., Kwiatkowska, M., Laurenti, L., & Patane, A.
Published in: Proceedings of 33rd AAAI Conference on Artificial Intelligence 2019, Issue 33, 2019
Publisher: AAAI

Personal values in HCI research

Author(s): Sas, C.
Published in: CHI’17 Values in Computing Workshop, 2017, Page(s) 4
Publisher: http://www.valuesincomputing.org/wp-content/uploads/2017/03/sas_personal_vic2017.pdf

AFFECTECH: Personal Technologies for Affective Health

Author(s): Repetto, C., Sas, C., Botella, C. Riva, G.
Published in: The 15th European Congress of Psychology, 2017, Page(s) 2
Publisher: The 15th European Congress of Psychology