Androids

(AutoNomous DiscoveRy Of depressIve Disorder Signs)

The Androids project investigated the core features of human interactions to model cognitive and emotional processes, a critical step in building technologies for sustainable and all-inclusive societies.

The aim was to design and implement autonomous systems and algorithms able to detect early signs of mood changes and depressions through analyses of interactional exchanges. The project gathered behavioural data (speech, handwriting, facial, vocal and gestural expressions) from healthy/depressed diagnosed subjects, defining behavioural tasks able to detect changes in the healthy perception of social cues due to depressive disorders.
    
Specific scenarios were designed to assess individuals' emphatic and social competencies. The collected data deepened the medical knowledge on behavioural features affecting healthy/depressed interactional exchanges and allowed [the development of] a multi-dimensional mathematical model of communicative features, assessing psychologically and quantitatively healthy/depressed relationships. From this model, automated and cost-effective technological interventions were implemented, to be used in health care centres for the early detection of depressive disorders.

Status: Completed project
Start date: 11 December 2019
End date: 10 December 2021
Funded under: V:ALERE 2019, D.R. 906  4/10/2019, prot. n. 157264 del 17/10/2019
Overall EU contribution: € 337500

Participants:

Dipartimento di Psicologia
Anna Esposito
Olimpia Matarazzo
Terry Amorese
Betul Tolgay
Gennaro Cordasco
Alessandro Vinciarelli (external)
Marcos Faundez Zanuy (external)
Luca Bartoli (external)
Dipartimento di Matematica e Fisica
Stefano Marrone
Bruno Carbonaro
Marco Menale
Simona Bernardi (external)