This paper presents a dialogue act taxonomy designed for the developmentof a conversational agent for elderly. The main goal of this conversational agent is to improvelife quality of the user by means of coaching sessions in different topics. In contrast to otherapproaches such as task-oriented dialogue systems and chit-chat implementations, the agent shoulddisplay a pro-active attitude, driving the conversation to reach a number of diverse coachinggoals. Therefore, the main characteristic of the introduced dialogue act taxonomy is its capacityfor supporting a communication based on the GROW model for coaching. In addition, the taxonomyhas a hierarchical structure between the tags and it is multimodal. We use the taxonomy toannotate a Spanish dialogue corpus collected from a group of elder people. We also present apreliminary examination of the annotated corpus and discuss on the multiple possibilities it presentsfor further research.
The goal of active aging is to promote changes in the elderly community so as to maintain an active, independent and socially-engaged lifestyle. Technological advancements currently provide the necessary tools to foster and monitor such processes. This paper reports on mid-term achievements of the European H2020 EMPATHIC project, which aims to research, innovate, explore and validate new interaction paradigms and platforms for future generations of personalized virtual coaches to assist the elderly and their carers to reach the active aging goal, in the vicinity of their home. The project focuses on evidence-based, user-validated research and integration of intelligent technology, and context sensing methods through automatic voice, eye and facial analysis, integrated with visual and spoken dialogue system capabilities. In this paper, we describe the current status of the system, with a special emphasis on its components and their integration, the creation of a Wizard of Oz platform, and findings gained from user interaction studies conducted throughout the first 18 months of the project. CCS Concepts: • Human-centered computing → Interactive systems and tools; Empirical studies in HCI; Interaction techniques; • Applied computing → Health informatics.
In this work, a Spanish corpus that was developed, within the EMPATHIC project 1 framework, is presented. It was designed for building a dialogue system capable of talking to elderly people and promoting healthy habits, through a coaching model. The corpus, that comprises audio, video an text channels, was acquired by using a Wizard of Oz strategy. It was annotated in terms of different labels according to the different models that are needed in a dialogue system, including an emotion based annotation that will be used to generate empathetic system reactions. The annotation at different levels along with the employed procedure are described and analysed.1 http://www.empathic-project.eu/
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