CARESSES - European Commissionec.europa.eu/research/conferences/2016/aha-summit/... · CARESSES has...

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CARESSES Culture Aware Robots and Environmental Sensor Systems for Elderly Support CARESSES has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 737858 CARESSES has received funding from the Ministry of Internal Affairs and Communication of Japan Antonio Sgorbissa, Università degli Studi di Genova, Genova, Italy Nak Young Chong, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan Global Innovation Forum on Active and Healthy Ageing, 5th December 2016, Brussels. MIC

Transcript of CARESSES - European Commissionec.europa.eu/research/conferences/2016/aha-summit/... · CARESSES has...

Page 1: CARESSES - European Commissionec.europa.eu/research/conferences/2016/aha-summit/... · CARESSES has received funding from the European Union’s Horizon 2020 research and innovation

CARESSESCulture Aware Robots and Environmental

Sensor Systems for Elderly Support

CARESSES has received funding from the European Union’s Horizon 2020 research and innovation

programme under grant agreement No 737858

CARESSES has received funding from the Ministry of Internal Affairs and Communication of Japan

Antonio Sgorbissa, Università degli Studi di Genova, Genova, Italy

Nak Young Chong, Japan Advanced Institute of Science and Technology,

Nomi, Ishikawa, Japan

Global Innovation Forum on Active and Healthy Ageing, 5th December 2016, Brussels.

MIC

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The Idea

We consider personal robots that are physically

identical, but we make them act and communicate

in different ways to match the culture, customs,

and etiquette of the person they are assisting.

A culturally competent robot understands the form

taken by general characteristics in each individual

and acts accordingly…

Take different

forms

in different

individuals

Cultural Knowledge,

Cultural Awareness,

Cultural Sensitivity

General cultural

characteristics

(National Level)

… by avoiding

stereotypes

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General Information

Horizon2020SC1-PM-14-2016

Fundedby

EC/MIC

3 years

€ 2 millions

EU budget9

partners

¥ 60 millions

JPN budget

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Consortium

Testing

facility

Technical

development

Robot

technology

Health & user

evaluation

Orebro

University

Bedfordshire

University

Middlesex

University

Advinia

Health

Care

University

of Genova

Softbank

Robotics

Nagoya

University

JAIST

J. Adv. Inst.

of Sci.

& Tech.

Chubu

University

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Main Objective

Make a robot culturally competent, i.e. capable of

representing cultural models, using these models in sensing,

planning and acting,and acquiring them.

Build a demonstration system based on state-of-

the art in assistive domestic robots, and integrate into it the

outcome of thescientific work.

Design experiments for testing the role of cultural

competence to design robots more sensitiveto the user’s needs,

customs and lifestyle.

Explore the role of cultural competence for improving

the acceptability of health-care robots in the Society.

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Starting technology

Softbank Robotics

Pepper robotWearables(e.g., smartwatches)

Nearables(e.g., localizationbeacons)

universAAL

ECHONET

iHouse @ JAIST

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Key Research Areas

KRA1 Transcultural Robotic Nursing

KRA2 Cultural Knowledge Representation

KRA3 Culturally Sensitive Planning & Execution

KRA4 Culture-aware Interaction in aSmart ICT Environment

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Work Plan

WP7 End-User

Evaluation

WP8Dissemination

and

Exploitation

WP3 Culturally

Sensitive

Planning

and

Execution

WP1Transcult.

Robotic

Nursing

WP4 Culture-

Aware

Interaction

in a Smart

ICT Environ.

WP5 System

Integration

WP6 Testing in

Health-

Care

Facilities

WP2 Cultural

Knowl.

Represent.

WP9Project

Management

WP10Ethics

Requirements

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Cloud

System integration

universAAL MIDDLEWARE

User Interaction

Context

Service

APPLICATIONS & SERVICES (CARESSES)

Mobile

Service

Application

universAAL

Service

Application

3rd Party

AAL service

Application

ActuatorsSensors

Interfaces

Robots

universAAL Adaptation

Bridge with

ECHONET

Cultural knowledge

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Testing and Evaluation

WP7 End-User Evaluation

• Client perception of robot’s

cultural competence (CCATool)

• Client and caregiver quality of life

(SF-36)

• Informal caregiver burden (ZBI)

• Client satisfaction with robot

(QUIS)

• …

WP6 Testing in Health-Care Facilities

Advinia Health Care Homes, UK

• Clients from 2 cultural groups

• 10 Clients per cultural group

• 2 weeks per client

HISUISUI Facility, Japan

• Clients from 1 cultural groups

• 10 Clients per cultural group

• 2 weeks per client

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Robotics Laboratory, Japan Advanced Institute of Science and Technology

CARESSESCulture Aware Robots and Environmental

Sensor Systems for Elderly Support

Antonio Sgorbissa, Università degli Studi di Genova, Genova, Italy

Nak Young Chong, Japan Advanced Institute of Science and Technology,

Nomi, Ishikawa, Japan

Global Innovation Forum on Active and Healthy Ageing, 5th December 2016, Brussels.

Page 12: CARESSES - European Commissionec.europa.eu/research/conferences/2016/aha-summit/... · CARESSES has received funding from the European Union’s Horizon 2020 research and innovation

Japan: Super-aging SocietyRobotics Laboratory, Japan Advanced Institute of Science and Technology

Japan: Super-aging Society

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Japan: Super-Aging SocietyRobotics Laboratory, Japan Advanced Institute of Science and Technology

Japan: Super-aging Society

Page 14: CARESSES - European Commissionec.europa.eu/research/conferences/2016/aha-summit/... · CARESSES has received funding from the European Union’s Horizon 2020 research and innovation

Japan: Ethnicity

• One of the most homogeneous ethnicities in the world

• Changing demographics (changing populations)

• Preparing for the challenges of a non-homogeneous

society

Robotics Laboratory, Japan Advanced Institute of Science and Technology

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Culture-Aware Verbal/Non-

verbal InteractionRobotics Laboratory, Japan Advanced Institute of Science and Technology

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Robotics Laboratory, Japan Advanced Institute of Science and Technology

iHouse: a Smart Home• Connect: M2M communication,

connectivity• Sense: sensing, context

extraction• Control: control logics,

algorithms• Actuate: actuation• Store: database

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iHouse: a Smart HomeRobotics Laboratory, Japan Advanced Institute of Science and Technology

Learning user daily routines, activities, and preferences

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Floor PlanRobotics Laboratory, Japan Advanced Institute of Science and Technology

Floor Plan

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Photovoltaic and Fuel CellRobotics Laboratory, Japan Advanced Institute of Science and Technology

Photovoltaic and Fuel Cell

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Outlets and WindowsRobotics Laboratory, Japan Advanced Institute of Science and Technology

Outlets and Windows

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Indoor SensorsRobotics Laboratory, Japan Advanced Institute of Science and Technology

Indoor Sensors

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Outdoor SensorsRobotics Laboratory, Japan Advanced Institute of Science and Technology

Outdoor Sensors

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CurtainRobotics Laboratory, Japan Advanced Institute of Science and Technology

Curtain

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Air ConditionerRobotics Laboratory, Japan Advanced Institute of Science and Technology

Air Conditioner

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Robotics Laboratory, Japan Advanced Institute of Science and Technology

Light (DC Powered LED)

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HISUISUI geriatric healthcare

Robotics Laboratory, Japan Advanced Institute of Science and Technology

Services-nursing, short-stay rehab, day care

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Robotics Laboratory, Japan Advanced Institute of Science and Technology

HISUISUI geriatric healthcareFacilities

Page 28: CARESSES - European Commissionec.europa.eu/research/conferences/2016/aha-summit/... · CARESSES has received funding from the European Union’s Horizon 2020 research and innovation

Robotics Laboratory, Japan Advanced Institute of Science and Technology

HISUISUI geriatric healthcareIndoor/outdoor recreation activities

Page 29: CARESSES - European Commissionec.europa.eu/research/conferences/2016/aha-summit/... · CARESSES has received funding from the European Union’s Horizon 2020 research and innovation

Questions?

CARESSES - contact persons

University of Genova, Italy

Prof. Antonio Sgorbissa, [email protected]

Japan Advanced Institute of Science and Technology

Prof. Nak Young Chong, [email protected]

Other participants

Orebro University, Sweden

Prof. Alessandro Saffiotti, [email protected]

Middlesex University, UK

Prof. Irena Papadopoulos, [email protected]

University of Bedfordshire, UK

Dr Chris Papadopoulos, [email protected]

Softbank Robotics Europe, France

Mr Rodolphe Gelin, [email protected]

Advinia Healthcare Limited, UK

Mr Duncan Sweetland, [email protected]

Nagoya University, Japan

Prof. Hiroko Kamide, [email protected]

Chubu University, Japan

Prof. Jaeryoung Lee, [email protected]