Context in Human Emotion Perception for Automatic Affect Detection: A Survey of Audiovisual Databases

An important aspect of human emotion perception is the use of contextual information to understand others' feelings even in situations where their behavior is not very expressive or has an emotionally ambiguous meaning. For technology to successfully detect affect, it must mimic this human ability when analyzing audiovisual input. Databases upon...

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...

Evaluating Cognitive and Affective Intelligent Agent Explanations in a Long-Term Health-Support Application for Children with Type 1 Diabetes

Explanation of actions is important for transparency of-, and trust in the decisions of smart systems. Literature suggests that emotions and emotion words - in addition to beliefs and goals - are used in human explanations of behaviour. Furthermore, research in e-health support systems and human-robot interaction stresses the need for studying...

Integration and refinement: DR 2.4

Work package 2 has researched and developed 4 main functionalities that resolve around strategic learning goal setting for children, transparency of the system (explanation and style), and progress monitoring of the child. The first is PAL Control (see deliverable D2.1), an interface for children and health care professionals (HCP) to set...

The role of emotion in self-explanations by cognitive agents

Artificial Intelligence (AI) systems, including intelligent agents, are becoming increasingly complex. Explainable AI (XAI) is the capability of these systems to explain their behaviour, in a for humans understandable manner. Cognitive agents, a type of intelligent agents, typically explain their actions with their beliefs and desires. However,...

Using perceptual and cognitive explanations for enhanced human-agent team performance

Self-explanations of a cognitive agent by citing goals and emotions

This paper presents a cognitive (belief-desireintention based) agent that can self-explain its behaviour based on its goals and emotions. We implement a cognitive agent, embodied by a nao-robot or virtual avatar thereof, to play a quiz with its user. During the interaction the agent intelligently selects questions to optimally educate the user....

Personalised self-explanation by robots: The role of goals versus beliefs in robot-action explanation for children and adults

A good explanation takes the user who is receiving the explanation into account. We aim to get a better understanding of user preferences and the differences between children and adults who receive explanations from a robot. We implemented a Nao-robot as a belief-desire-intention (BDI)-based agent and explained its actions using two different...

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...