ALIZ-E

Adaptive Strategies for Sustainable Long-Term Social Interaction

Coordinatore	UNIVERSITY OF PLYMOUTH    more  Organization address address: Portland Square A318 city: Plymouth postcode: PL4 8AA contact info Titolo: Dr. Nome: John Cognome: Martin Email: send email Telefono: 441753000000 Fax: 441752000000
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	10˙655˙017 €
EC contributo	8˙287˙000 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2009-4
Funding Scheme	CP
Anno di inizio	2010
Periodo (anno-mese-giorno)	2010-03-01   -   2014-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITY OF PLYMOUTH  Organization address address: Portland Square A318 city: Plymouth postcode: PL4 8AA contact info Titolo: Dr. Nome: John Cognome: Martin Email: send email Telefono: 441753000000 Fax: 441752000000	UK (Plymouth)	coordinator	0.00
2	ALDEBARAN ROBOTICS SAS  Organization address address: RUE RAYMOND LOSSERAND city: PARIS postcode: 75014 contact info Nome: Petra Cognome: Koudelkova Email: send email Telefono: +33 1 77 37 17 75	FR (PARIS)	participant	0.00
3	CONSIGLIO NAZIONALE DELLE RICERCHE  Organization address address: PIAZZALE ALDO MORO city: ROMA postcode: 185 contact info Titolo: Prof. Nome: Cristiano Cognome: Castelfranchi Email: send email Telefono: +39 06 44595283 Fax: +39 06 44595243	IT (ROMA)	participant	0.00
4	DEUTSCHES FORSCHUNGSZENTRUM FUER KUENSTLICHE INTELLIGENZ GMBH  Organization address address: Trippstadter Strasse city: KAISERSLAUTERN postcode: 67663 contact info Titolo: Dr. Nome: Walter Cognome: Olthoff Email: send email Telefono: +49 631 20575 5000	DE (KAISERSLAUTERN)	participant	0.00
5	Fondazione Centro San Raffaele  Organization address address: Via Olgettina city: Milano postcode: 20132 contact info Titolo: Dr. Nome: Maria Rosa Cognome: Pedrazzi Email: send email Telefono: +39 02 2643 4845 Fax: +39 02 2643 4717	IT (Milano)	participant	0.00
6	IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE  Organization address address: Exhibition Road, South Kensington Campus city: LONDON postcode: SW7 2AZ contact info Titolo: Mr. Nome: Shaun Cognome: Power Email: send email Telefono: +44 207 59 48773 Fax: +44 207 594 48609	UK (LONDON)	participant	0.00
7	NEDERLANDSE ORGANISATIE VOOR TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK - TNO  Organization address address: Schoemakerstraat city: DELFT postcode: 2628 VK contact info Titolo: Mrs. Nome: Fenneke Cognome: Poot Email: send email Telefono: +31 88 86662836	NL (DELFT)	participant	0.00
8	Ospedale San Raffaele  Organization address address: Via Olgettina city: Milano postcode: 20132 contact info Titolo: Dr. Nome: Maria Rosa Cognome: Pedrazzi Email: send email Telefono: +39 02 2643 4845 Fax: +39 02 2643 4717	IT (Milano)	participant	0.00
9	THE UNIVERSITY OF HERTFORDSHIRE HIGHER EDUCATION CORPORATION  Organization address address: COLLEGE LANE city: HATFIELD postcode: AL10 9AB contact info Titolo: Dr. Nome: Lola Cognome: Cañamero Email: send email Telefono: +44 7958074606 Fax: +44 1707 284303	UK (HATFIELD)	participant	0.00
10	VRIJE UNIVERSITEIT BRUSSEL  Organization address address: PLEINLAAN city: BRUSSEL postcode: 1050 contact info Titolo: Ms. Nome: Martina Cognome: Follet Email: send email Telefono: +32 2 629 2210 Fax: +32 2 629 3640	BE (BRUSSEL)	participant	0.00

Mappa

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 Obiettivo del progetto (Objective)

The goal of ALIZ-E is to develop methods for developing and testing interactive, mobile robots which will be able to interact with human users over extended periods of time, i.e. a possibly non-continuous succession of interactions which can refer back to, and build forth on, previous experiences.To achieve this aim, ALIZ-E will address three related issues in developing interactive robots capable of self-sustaining medium- to long-term autonomous operation in real-world indoor environments. One, ALIZ-E will address how long-term experience can be acquired, to ground actions and interactions across time. Two, ALIZ-E will address how a system can deal robustly with inevitable differences in quality in perceiving and understanding a user and her environment. To this end, novel methods for adaptively controlling how a system invokes and adaptively balances a hybrid ensemble of processing and behaviours. Third, ALIZ-E will address how a system can adapt its interaction based on how user behaviour changes over time and contexts.To demonstrate and evaluate scientific methods, ALIZ-E will instantiate and evaluate these methods in working systems that interact with hospitalized children undergoing diabetes treatment. Long-term interaction in this context means interactions over a period of up to 5 days (possibly longer). Choosing this scenario, ALIZ-E makes it possible to bring existing extensive experience in conducting clinical trials of IT technology to the field of cognitive systems and human-robot interaction, to help develop novel methods for evaluating interactive robots at system-level.The theory and practice of ALIZ-E will impact on theoretical cognitive systems research (eg. memory, long-term affective interaction), implementation (eg. adaptive deployment of processing and behaviour for robust interaction, cloud computing for cognitive systems, speech processing for young users) and commercial applications of these technologies.