Tecnotextualidade e campo dêitico digital – análise de aspectos interacionais e enunciativos

• Ano de defesa: 2024
• Autor(a) principal: Martins, Mayara Arruda
• Orientador(a): Cavalcante, Mônica Magalhães
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Área do conhecimento CNPq: CNPQ::LINGUISTICA, LETRAS E ARTES::LINGUISTICA
• Link de acesso: http://repositorio.ufc.br/handle/riufc/76875

This thesis investigates interaction and enunciation in a digital context, focusing on human- machine interactions and language resources used by the interlocutors. Assuming technodiscursivity (Paveau, 2021) and the communicative circuit established in contracts (Charaudeau, 2008), we reconsider the notion of deixis based on the conception of text from Textual Linguistics (LT) (Cavalcante et al., 2019), which integrates into the context as emergence and incorporation, and we expand the notion of deictic field (Hanks, 2008), postulating the digital deictic field. To do this, we analyze language gestures and multimodal aspects that humans and machines use to assume the role of speaker (Benveniste, 1988) and the viewpoint of enunciators (Rabatel, 2008). These reflections deepen the investigations initiated by Martins (2019), who considers the creation of deictic field from the origin of I- here-now coordinate (ego-hic-nunc) as the main criterion for deixis, always permeated by the social roles of interlocutors in the scene and it's present in texts producible in any interactions, from the most basic human interactions, such as gestures and bodily pointing (Camus; Mondada, 2021), to the “tecno-logical” ones that emerge from the symbiotic human-machine relationship. Methodologically, our corpus (30 texts of different genres) consists of multisemiotic interactions (verbal, oral, visual, sound, gestural) – static/dynamic – in the digital context, which appear in the work through QR-Codes, links, and/or screenshots. We use QR-Codes because, in LT, we need to analyze texts fully, as a “unique and unrepeatable event”, within the interaction and circulation environment itself. We categorize these data into three groups: a) interactions that simulate face-to-face, such as classes on Google Meet and Instagram lives; b) synchronous and asynchronous interactions on social networks; c) human- machine interactions, where both can assume an I and call upon a you, like virtual assistants, applications, and chatbots, such as Bia (Bradesco) and ChatGPT (OpenAI). We highlight some results: definition of digital deictic field, to claim the expansion, in a digital context, of the I-here-now triad and its derivatives; explanation of new ways in which subjects (re)construct the enunciative framework, without, however, an enunciative expansion; effective analysis, in the textual event, of how some aspects intertwine in the social- discursive-technological triad, proving the interdisciplinary character of LT; description of the mention through @ as a deictic resource, even if there is no direct interpellation to the “you,” as the person mentioned by this technolinguistic gesture is notified and, consequently, engaged metadiscursively; proposition that both humans and machines can assume identities; demonstration that deixis is realized through indexicality as a language phenomenon present in every text, in every genre, and in every interaction, digital or not; proof that every text corresponds to at least one deictic field, since every interaction occurs in a given “I-here-now” and interactions can overlap, generating enunciative layers. Taking deixis as a fundamental language phenomenon, we conclude that the establishment of deictic fields in enunciative layers occurs not only in digital environments but also reflects the functioning of deixis in general, in texts of any nature, digital or not.