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Personal Technologies for Affective Health



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)


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

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)


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 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)


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

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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

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
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

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

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

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

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

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

Personal values in HCI research

Author(s): Sas, C.
Published in: CHI’17 Values in Computing Workshop, 2017, Page(s) 4

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