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Article Dans Une Revue Frontiers in Robotics and AI Année : 2022

Socio-conversational systems: Three challenges at the crossroads of fields

Résumé

Socio-conversational systems are dialogue systems, including what are sometimes referred to as chatbots, vocal assistants, social robots, and embodied conversational agents, that are capable of interacting with humans in a way that treats both the specifically social nature of the interaction and the content of a task. The aim of this paper is twofold: 1) to uncover some places where the compartmentalized nature of research conducted around socio-conversational systems creates problems for the field as a whole, and 2) to propose a way to overcome this compartmentalization and thus strengthen the capabilities of socio-conversational systems by defining common challenges. Specifically, we examine research carried out by the signal processing, natural language processing and dialogue, machine/deep learning, social/affective computing and social sciences communities. We focus on three major challenges for the development of effective socio-conversational systems, and describe ways to tackle them.
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Origine : Publication financée par une institution
licence : CC BY - Paternité

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hal-03990543 , version 1 (15-02-2023)

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Chloé Clavel, Matthieu Labeau, Justine Cassell. Socio-conversational systems: Three challenges at the crossroads of fields. Frontiers in Robotics and AI, 2022, 9, ⟨10.3389/frobt.2022.937825⟩. ⟨hal-03990543⟩
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