Periodic Reporting for period 1 - COBRA (COnversational BRAins)
Periodo di rendicontazione: 2020-02-01 al 2022-01-31
Work in WP1 has focused on the processes underlying prediction and alignment using minimal dyadic contexts in the laboratory, and neuroscientific measures of prediction and alignment in conversational settings. In WP2, the emphasis has been on linguistic features, from fine-grained phonetic and prosodic features to discourse-level expressions and constructions. WP3 has concentrated on data collection and processing, data analysis, and data long-term storage and sharing. A shared repertoire of set-ups and best practices for experimental studies on conversational interactions has been established. In WP4, full use is made of the leading-edge computational frameworks and powerful resources developed by academic and non-academic consortium members. In WP5, two online training events were organized. Training also comprised courses on open science, statistics, and mental health. A moodle e-learning platform has been set up. As regards WP6, the consortium has equipped itself with a digital infrastructure for both internal and external communication which comprises a website, a Zenodo Community and a Twitter account. Dissemination was limited due to the COVID crisis, but included a participation in the 2021 European Researchers' Night, among other events. An Open Data Management plan was set up and is hosted on dmp.opidor.fr.
Within the consortium, nine European languages as well as Mandarin Chinese are represented that allow the ESRs to confront a wide set of linguistic phenomena spread across the European territory and Asia. Transfer-of-technology activities include innovative experimental set-ups for the joint monitoring of brain and physiological activities in two or more people engaged in a spoken-language interactions, as well as the development of spoken-dialogue systems and social robots with high-level conversational skills.
Research in this multi-disciplinary domain will help interactive technologies improve in two ways. First, an understanding of which linguistic phenomena appear in which situations provides the technologies with improvements in naturalness, the extent to which the virtual assistant or conversational robot acts like a human interlocutor. Second, an appreciation of the cognitive impact of discourse alignment and prediction phenomena makes it possible to go beyond naturalness to select those linguistic phenomena which are cognitively useful in achieving the goals of the particular human-machine interaction.
The COBRA training programme is dedicated to both providing ESRs the scientific and technical knowledge and skills required to push research on conversational brains beyond the state of the art and giving ESRs wide exposure to highly-competitive companies in web-based speech technology, conversational agents and robotics. The programme also has major societal implications as it addresses issues that relate to communication in people’s native and non-native languages. The focus on the dynamics of conversational exchanges between people and on the mechanisms employed for the establishment of a conversational common ground makes it possible to significantly further our understanding of what makes spoken language communication efficient and successful in a large variety of languages and interaction situations.