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Open AccessArticle

A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly

ISG-UPV/EHU, Faculty of Computer Science, Paseo Manuel sde Lardizabal 1, 20018 Donostia-San Sebastian, Gipuzkoa, Spain
SPIN-UPV/EHU, Department of Electrical and Electronics, Faculty of Science and Technology, Campus de Leioa, 48940 Leioa, Bizkaia, Spain
BCAM, Alameda de Mazarredo 14, 48009 Bilbao, Spain
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Multimodal Technologies Interact. 2019, 3(3), 52;
Received: 11 June 2019 / Revised: 24 June 2019 / Accepted: 4 July 2019 / Published: 11 July 2019
(This article belongs to the Special Issue Semantics of Multimodal Social Interaction)
This paper presents a dialogue act taxonomy designed for the development of a conversational agent for elderly. The main goal of this conversational agent is to improve life quality of the user by means of coaching sessions in different topics. In contrast to other approaches such as task-oriented dialogue systems and chit-chat implementations, the agent should display a pro-active attitude, driving the conversation to reach a number of diverse coaching goals. Therefore, the main characteristic of the introduced dialogue act taxonomy is its capacity for supporting a communication based on the GROW model for coaching. In addition, the taxonomy has a hierarchical structure between the tags and it is multimodal. We use the taxonomy to annotate a Spanish dialogue corpus collected from a group of elder people. We also present a preliminary examination of the annotated corpus and discuss on the multiple possibilities it presents for further research. View Full-Text
Keywords: dialogue systems; semantic annotation; NLU; dialogue acts dialogue systems; semantic annotation; NLU; dialogue acts
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Montenegro, C.; López Zorrilla, A.; Mikel Olaso, J.; Santana, R.; Justo, R.; Lozano, J.A.; Torres, M.I. A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly. Multimodal Technologies Interact. 2019, 3, 52.

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