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Christina Koulouglioti

dblp:217/3126 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0003-3227-6696ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3Systems, architecture and hardware · 2Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 87% Health and well-being technologies · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › social robot
cultural robotics
0.412019
CARESSES: The Flower that Taught Robots about Culture · HRI 2019
Human-robot interaction › assistive robotics
socially assistive robotics
0.412019
CARESSES: The Flower that Taught Robots about Culture · HRI 2019
Health and well-being technologies
elderly care
0.112019
CARESSES: The Flower that Taught Robots about Culture · HRI 2019

Methods — techniques the papers use, named apart from their topics

environmental sensor systems · 0.4
YearPublicationVenuePosition
2019 CARESSES: The Flower that Taught Robots about Culture
abstract
The video describes the novel concept of “culturally competent robotics”, which is the main focus of the project CARESSES (Culturally-Aware Robots and Environmental Sensor Systems for Elderly Support). CARESSES a multidisciplinary project whose goal is to design the first socially assistive robots that can adapt to the culture of the older people they are taking care of. Socially assistive robots are required to help the users in many ways including reminding them to take their medication, encouraging them to keep active, helping them keep in touch with family and friends. The video describes a new generation of robots that will perform their actions with attention to the older person's customs, cultural practices and individual preferences.
Antonio Sgorbissa, Alessandro Saffiotti, Nak Young Chong, Linda Battistuzzi, Roberto Menicatti, Federico Pecora, Irena Papadopoulos, Amit Kumar Pandey, Hiroko Kamide, Christina Koulouglioti, Sanjeev Kanoria, Raffaele Mastrolonardo, Chris Papadopoulos, Len Merton, Jaeryoung Lee, Gurch Randhawa, Yuto Lim
HRI10
2018 Embedding Ethics in the Design of Culturally Competent Socially Assistive Robots
abstract
Research focusing on the development of socially assistive robots (SARs) for the care of older adults has grown in recent years, prompting a great deal of ethical analysis and reflection on the future of SARs in caring roles. Much of this ethical thinking, however, has taken place far from the settings where technological innovation is practiced. Different frameworks have been proposed to bridge this gap and enable researchers to handle the ethical dimension of technology from within the design and development process, including Value Sensitive Design (VSD). VSD has been defined as a “theoretically grounded approach to the design of technology that accounts for human values in a principled and comprehensive manner throughout the design process”. Inspired in part by VSD, we have developed a process geared towards embedding ethics at the core of CARESSES, an international multidisciplinary project that aims to design the first culturally competent SAR for the care of older adults. Here we describe that process, which included extracting key ethical concepts from relevant ethical guidelines and applying those concepts to scenarios that describe how the CARESSES robot will interact with individuals belonging to different cultures. This approach highlights the ethical implications of the robot's behavior early in the design process, thus enabling researchers to identify and engage with ethical problems proactively.
Linda Battistuzzi, Antonio Sgorbissa, Chris Papadopoulos, Irena Papadopoulos, Christina Koulouglioti
IROS5
2018 Encoding Guidelines for a Culturally Competent Robot for Elderly Care
abstract
The functionalities and behaviours of socially assistive robots for the care of older people are usually defined by the robot's designers with limited room for runtime adaptation to meet the preferences, expectations and needs of the assisted person. However, adaptation plays a crucial role for the robot's acceptability and ultimately for its effectiveness. Culture, which deeply influences a person's preferences and habits, can be viewed as an invaluable “enabling technology” to achieve such level of adaptation. This paper discusses how guidelines describing culturally competent assistive behaviours can be encoded in a robot to effectively tune its actions, gestures and words. The proposed system is implemented on a Pepper robot and tested with an Indian persona, whose habits and preferences the robot discovers and adapts to at runtime.
Antonio Sgorbissa, Irena Papadopoulos, Barbara Bruno, Christina Koulouglioti, Carmine Tommaso Recchiuto
IROS4