Deliverables of the second year:

DR 1.3: Evaluation of PAL prototype supporting knowledge and awareness:

This report presents the work WP1 with a focus on T1.4: The results from the first design and evaluation cycle. This cycle contained a number of related experiments (i.e., formative evaluations of PAL prototypes). Each experiment had specific research questions concerning PAL functionality and expected outcomes (claims) concerning (1) child’s knowledge, awareness, attitude (towards PAL and T1DM), self-efficacy and skills (usage and adherence), or (2), HCP’s trust and acceptance, or (3) parent’s attitude and knowledge.

DR 2.2: Context and engagement-based strategy selection:

In this document we report on the work in work package 2 that relates to context, engagement, and explanation of robot actions. Context and engagement directly relate to this deliverable, explanation of robot action relates to work needed for task 2.1 to be able to implement multi-user explanation of the actions proposed by the system. We have focused on several fundamental issues in this year. First, can children perceive differences in robot educational style? This is important for engagement because human teachers use different styles and the ability to adapt educational style to an individual increases educational efficiency and effectiveness. Second, we have evaluated (with children and healthcare professionals) the PAL Control tool developed last year. PAL Control is our health care professional authoring tool. Again this is important for engagement and also for contextualized goal setting. Being able to set learning goals appropriately for children contributes to focusing on an achievable set of goals and contributes to structuring the learning process. Goal setting has been integrated with the quiz module of the PAL system. This enables the system to propose educational quizzes dependent on the context as defined
by the learning goals. Third, we have shown in an experiment at a diabetes autumn camp that children and adults prefer robot action explanations differently. This is important fundamental knowledge enabling us (in the following years) to define how the agent should explain its strategy to the children, parents, and healthcare professionals.

DR 3.2: First prototype of user model construction algorithms featuring input from sentiment and interaction mining:

This document describes the first prototype of the PAL user modeling algorithm based on sentiment and interaction developed during the second year of the project in work package 3. The overall objective of workpackage 3 is to adapt the behavior of the PAL system to each of its users. This adaptation is necessary to ensure 1) engagement of the user and 2) increased effectiveness in personal goal achievement. People tend to adapt their interaction style in a conversation based on observations such as the perceived sentiment of the conversation partner. For this purpose it is worthwhile to include sentiment in the interaction process, such that the robot or its avatar can adapt its behavior accordingly. Sentiment extracted from the child’s diaries can assist in estimating the current well-being and emotional state of the child. Moreover, sentiment can be used as feedback mechanism to tune the user model.

DR 4.2: Multimodal Interaction with Basic Adaptivity and Personalization:

The present report describes the work carried out in the second project year regarding Natural Multimodal Interaction. It summarises the Deliverable D4.2: \Natural Multimodal Interaction Basic Adaptivity and Personalisation”. The formalism to implement dialogue strategies that was defined in the first year has been implemented to a great extend, and the functionality contained in the year 1 prototype has been implemented in the new formalism to prove the feasibility of the approach. On the natural language generation side, we implemented basic adaptivity and personalisation, using the data contained in the underlying knowledge source to adapt the conversational style, as well as the content, to the current user. Two studies concerning personalised interaction were conducted. The first concerns the relation of the child’s disclosure depending on self-disclosure
of the robotic agent, while the seconds develops strategies how to react to the child’s behaviour patterns in using the timeline.

DR 5.2: Robot and avatar behavior implementation:

In this document we report on the work done in WP5 as part of deliverable D5.2, in particular task 5.2. Task 5.2 focuses on actual implementation of behaviors (e.g., the actual specification of the gestures) on the physical and virtual NAO.

DRs 6.2, 6.6, 6.10: Y2 Dissemination Report:

The present report describes the work carried out in the second project year regarding PAL’s Dissemination activities. It is the summary of three different WP6 Deliverables: Deliverable 6.2 “Website y2”, Deliverable 6.6 “Publications and proceedings report y2” and Deliverable 6.10 “Dissemination events promoted y2”.

Deliverables of the first year:

DR1.2 – Design and ontology of PAL prototype supporting knowledge and awareness:

This report presents the first user needs analyses, designs and evaluations of workpackage 1 (WP1) of the PAL project.

DR2.1 – PAL Control: a prototype authoring tool interface for entering coaching protocols:

DR2.1 focuses on the development of PAL Control, an authoring tool for care professionals. This tool enables health care professionals (HCP) to set learning goals for children during meetings.

DR3.1 – Personalized adaptive action selection Y1:

This document reports the work achieved during the first year of the PAL project on Personalized adaptive action selection work package (WP3), and in particular on the rst prototype of the action selection computational algorithms.

DR4.1 – Natural Multimodal Interaction Baseline:

We defined a new formalism for the speci cation of dialogue policies that combines dialogue rules, knowledge representation and dialogue history in a unique way. We developed the rst version of an ontology which specifies the data structures to be used by the dialogue specifications, dialogue history, and information state, and adapted our reasoning components, so that this knowledge source can be used eciently once the formalism specification is fully implemented. We implemented a prototype for the experiments in year 1, which provide us with interaction data that can be used later to develop and evaluate the components in this work package.

DR5.1 – PAL Technical Architecture and Software Architecture:

This document represents the rst deliverable of WP5 and describes the PAL architecture of the IT infrastructure and of its main software modules.

DR6.1 – Y1 Dissemination Report:

The present report describes the work carried out in the first project year regarding PAL’s dissemination activities; website, publications, dissemination