Socio-Cognitive Engineering of a Robotic Partner for Child’s Diabetes Self-Management

Social or humanoid robots do hardly show up in "the wild", aiming at pervasive human benefits such as child health. This paper presents the socio-cognitive engineering (SCE) methodology for the required field research \& development of robots, focusing on the incremental development of a social robot and child-robot activities that support the...

PAL System impact valorization and future perspectives: DR 6.14

PAL developed a Personal Assistant for healthy Lifestyle (PAL), a system that will assist the child, health professional and parent to advance the self-management of children with type 1 diabetes aged 7 - 14, so that an adequate shared patient-caregiver responsibility for child’s diabetes regimen is established before adolescence.

Multimodal Interaction leveraging non-expert coverage extensions: DR 4.3

The present report describes the work carried out in the third project year regarding Natural Multimodal Interaction. It summarises the Deliverable D4.3: “Natural Multimodal Interaction leveraging non-expert coverage ex-tensions”. In year 3, many additional functionalities have been added to the overall system, which are also supported by...

Ontology engineering for the design and implementation of personal pervasive lifestyle support

Ontologies for social, cognitive and affective agent-based support of child’s diabetes self-management

The PAL project is developing: (1) an embodied conversational agent (robot and its avatar); (2) applications for child-agent activities that help children from 8 to 14 years old to acquire the required knowledge, skills and attitude for adequate diabetes self-management; and (3) dashboards for caregivers to enhance their supportive role for this...

The federated ontology of the pal project interfacing ontologies and integrating time-dependent data

This paper describes ongoing work carried out in the European project PAL which will support childre in their diabetes self-management as well as assist health professionals and parents involved in the diabete regimen of the child. Here, we will focus on the construction of the PAL ontology which has been assemble from several independently...

Ontologies for Social, Cognitive and Affective Agent-Based Support of Child’s Diabetes Self Management

The PAL project is developing: (1) an embodied conversational agent (robot and its avatar); (2) applications for child-agent activities that help children from 8 to 14 years old to acquire the required knowledge, skills and attitude for adequate diabetes self-management; and (3) dashboards for caregivers to enhance their supportive role for this...

PAL Technical Architecture and SoftwareArchitecture: DR 5.1

Towards Long-Term Social Child-Robot Interaction: Using Multi-Activity Switching to Engage Young Users

Social robots have the potential to provide support in a number of practical domains, such as learning and behaviour change. This potential is particularly relevant for children, who have proven receptive to interactions with social robots. To reach learning and therapeutic goals, a number of issues need to be investigated, notably the design of...