Personal Technologies for Affective Health

Risultati finali

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

Pubblicazioni

Closed-loop quantitative verification of rate-adaptive pacemakers

Autori: N. Paoletti, A. Patane, M. Kwiatkowska
Pubblicato in: ACM Transactions on Cyber-Physical Systems, 2018, ISSN 2378-962X
Editore: ACM

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

Autori: Stefano Rosa, Andrea Patane, Chris Xiaoxuan Lu, Niki Trigoni
Pubblicato in: IEEE Transactions on Human-Machine Systems, 2018, Pagina/e 1-11, ISSN 2168-2291
Editore: IEEE Systems, Man, and Cybernetics Society
DOI: 10.1109/THMS.2018.2875079

A hybrid intervention for challenging the stigma of mental illness.

Autori: Coman, A. and Sas, C.
Pubblicato in: Bulletin of the Transilvania University of Brasov, Numero 9(58-2), 2016, Pagina/e 73-80, ISSN 2066-7701
Editore: Transilvania University of Brasov

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

Autori: S. Eberz, G. Lovisotto, A. Patane, M. Kwiatkowska, V. Lenders and I. Martinovic
Pubblicato in: IEEE Symposium on Security and Privacy, 2018
Editore: IEEE

CommonSense: Collaborative learning of scene semantics by robots and humans

Autori: S. Rosa, A. Patane, X. Lu, and N. Trigoni
Pubblicato in: International Workshop on Internet of People, Assistive Robots and Things, Numero 1, 2018
Editore: Association for Computing Machinery

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

Autori: A. Patane and M. Kwiatkowska
Pubblicato in: Fourth International Conference on Machine Learning, Optimization, and Data Science, 2018
Editore: Springer

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

Autori: Patane, A., Ghiasi, S., Scilingo, E. P., & Kwiatkowska, M.
Pubblicato in: Proceedings of Computing in Cardiology, 2018
Editore: IEEE

Robustness Guarantees for Bayesian Inference with Gaussian Processes

Autori: Cardelli, L., Kwiatkowska, M., Laurenti, L., & Patane, A.
Pubblicato in: Proceedings of 33rd AAAI Conference on Artificial Intelligence 2019, Numero 33, 2019
Editore: AAAI

Personal values in HCI research

Autori: Sas, C.
Pubblicato in: CHI’17 Values in Computing Workshop, 2017, Pagina/e 4
Editore: http://www.valuesincomputing.org/wp-content/uploads/2017/03/sas_personal_vic2017.pdf

AFFECTECH: Personal Technologies for Affective Health

Autori: Repetto, C., Sas, C., Botella, C. Riva, G.
Pubblicato in: The 15th European Congress of Psychology, 2017, Pagina/e 2
Editore: The 15th European Congress of Psychology

Risultati finali

Pubblicazioni

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