Opendata, web and dolomites

POTION SIGNED

Promoting social interaction through emotional body odours

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "POTION" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DI PISA 

Organization address
address: LUNGARNO PACINOTTI 43/44
city: PISA
postcode: 56126
website: www.unipi.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 6˙560˙150 €
 EC max contribution 6˙560˙150 € (100%)
 Programme 1. H2020-EU.1.2.2. (FET Proactive)
 Code Call H2020-FETPROACT-2018-01
 Funding Scheme RIA
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DI PISA IT (PISA) coordinator 1˙410˙450.00
2    SRA INSTRUMENTS SAS FR (MARCY-L'ETOILE) participant 819˙168.00
3    ISPA CRL PT (LISBOA) participant 788˙645.00
4    KAROLINSKA INSTITUTET SE (STOCKHOLM) participant 759˙687.00
5    UNIVERSITY OF ESSEX UK (COLCHESTER) participant 648˙773.00
6    UNIVERSITAT POLITECNICA DE VALENCIA ES (VALENCIA) participant 498˙925.00
7    INVENTYA VENTURES (EU) LIMITED IE (DUBLIN) participant 426˙625.00
8    KATHOLIEKE UNIVERSITEIT LEUVEN BE (LEUVEN) participant 424˙375.00
9    UNIVERSITA DEGLI STUDI DI PADOVA IT (PADOVA) participant 416˙250.00
10    FEEL-ING S.R.L. IT (PISA) participant 367˙250.00

Map

 Project objective

The way chemistry influences human communication is one of the most intriguing and debated topics. More specifically, the nature of chemosignals and their sphere of influence on social interaction is a very important key to understanding human behaviour. POTION proposes a novel technological paradigm to delve deeper into understanding meaningful social interaction, combining new knowledge about the chemical composition of human social chemosignals together with a novel olfactory-based technology designed to drive social behaviour. A first challenging analysis on human chemosignals to delineate the chemical underpinnings of the emotions of happiness and fear will be carried out since they are the representative emotions that drive approach and avoidance behaviour, i.e., the fundamental building blocks of social interaction between individuals of the same species. Results of this analysis will be used to artificially synthetize the chemosignals of these two emotions, which will provide the basis of an innovative computer-controlled odour delivery system able to drive the approach-avoidance social strategy. This breakthrough device will be controlled in a closed loop by the social-emotional state of the subjects evaluated through a novel computational neural model. The POTION system will be applied and tested in both social and clinical scenarios. In the social scenarios, we venture to reveal how olfaction clues work in managing the feelings of trust, presence and inclusion, in both virtual, real, and social media contexts. In the clinical scenario, POTION will propose a new human chemosignal-based diagnosis and treatment for social anxiety, phobias and depression, which are known to all share impaired social functioning. POTION will provide further insight to the fundamental underpinnings of human behaviour with the goal to help establish healthy social relationships through trust, leading to an overall improvement in wellbeing.

 Publications

year authors and title journal last update
List of publications.
2019 Dimitri Ognibene, Vincenzo G. Fiore, Xiaosi Gu
Addiction beyond pharmacological effects: The role of environment complexity and bounded rationality
published pages: 269-278, ISSN: 0893-6080, DOI: 10.1016/j.neunet.2019.04.022
Neural Networks 116 2020-03-05

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "POTION" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "POTION" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.2.2.)

EnTimeMent (2019)

EnTimeMent - ENtrainment and synchronization at multiple TIME scales in the MENTal foundations of expressive gesture

Read More  

HPCWE (2019)

High performance computing for wind energy

Read More  

CHIST-ERA IV (2019)

European Coordinated Research on Long-term ICT and ICT-based Scientific and Technological Challenges

Read More