Repository logo
Log In(current)
  1. Home
  2. Prodotti della ricerca
  3. A. Contributo su rivista
  4. A1. Articolo in rivista
  5. Realtà ibride: immaginari e narrazioni dell'interazione umano-macchina

Realtà ibride: immaginari e narrazioni dell'interazione umano-macchina

Author(s)
Beato, Massimo Roberto  
Date Issued
2025
Type
article
Volume
47-48
Start Page
329
End Page
344
DOI
10.53136/979122182446917
Journal
LEXIA  
Abstract
This paper investigates the influence of scientific and sci–fi narratives when constructing the meaning of hybrid realities, meant as spaces where human–machine interaction is not only a technical matter, but also a cultural and semiotic apparatus. Drawing on a theoretical framework that bridges classical semiotic traditions with contemporary sociosemiotic ones, and with sociological perspectives on symbolic interaction, this paper explores discourses engendered by science — from Turing’s AI to contemporary chatbots — and sci–fi — especially films like Her, Automata, and Ghost in the Shell. The analysis reveals to what extent these discourses contribute to shaping collective imaginaries which range from fascination to apprehension, highlighting the function of narratives as a means of veridiction and ideologisation of technology. As such, science and sci–fi do not merely describe or imagine human–machine interaction but rather concur in constructing the interpretative frameworks within which this interaction is perceived, discussed, and practised. Hybrid realities thus emerge not as given realities, but as discursive effects that define the shared experience of technology and orient the social and cultural practices related to artificial intelligence.
Subjects

Hybrid Realities

Human-Machine Interac...

Imaginaries

Veridiction

Ideology

Handle
http://hdl.handle.net/2067/54206
File(s)
Thumbnail Image
Name

BEATO_MR_Realtà Ibride_2025.pdf

Size

1.53 MB

Format

Adobe PDF

Checksum (MD5)

cb96455bd8b2411ab31bbe610fc0997c

Metrics

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify