Centros y comunidades: Envíos recientes

Mostrando ítems 1-7 de 118

    • Entrainment-Metrics: An Open-Source Toolkit for Quantifying Acoustic-Prosodic Entrainment in Spoken Dialogue 

      Ernst, Erik; Gálvez, Ramiro; Gravano, Agustín (IBERAMIA 2024. 18th Ibero-American Conference on Artificial Intelligence, 2024-11)
      Speech entrainment, particularly acoustic-prosodic (a/p) entrainment, has gained significant interest in recent years for its implications on social interaction and dialogue systems. However, measuring a/p entrainment ...

    • Attraction to politically extreme users on social media 

      Zimmerman, Federico; Bailey, David D.; Muric, Goran; Ferrara, Emilio; Schönef, Jonas; Willer, Robb; Halperin,Eran; Navajas, Joaquín; Gross, James J.; Goldenberg, Amit (PNAS Nexus (e-ISSN 2752-6542), 2024-10-15)
      Political segregation is a pressing issue, particularly on social media platforms. Recent research suggests that one driver of segregation is political acrophily—people’s preference for others in their political group who ...

    • Adolescents’ sleep quality is associated with day of the week, school timing and chronotype 

      Rodríguez Ferrante, Guadalupe; Goldín Andrea P.; Leone, María Juliana (Sleep Epidemiology (e- ISSN: 2667-3436), 2024-07-08)
      Late chronotypes and early school start times are associated with unhealthy sleep habits during adolescence. Here we examine the impact of the relationship between school timing and chronotype on sleep quality in ...

    • Trabajar las funciones ejecutivas a través de un software lúdico en educación infantil 

      Guillén, Jesús C.; Forés, Anna; Paz, Gabriel O.; Goldín, Andrea P. (REIFOP (Revista Electrónica Internuniversitaria de Formación del Profesorado), e-ISSN: 1575-0965, 2024-08-09)
      En esta investigación se analizó el impacto de Mate Marote, un software lúdico especialmente diseñado para estimular las funciones ejecutivas, sobre distintas habilidades cognitivas en la etapa de educación infantil. Se ...

    • Mining Reasons For And Against Vaccination From Unstructured Data Using Nichesourcing and AI Data Augmentation 

      Navajas, Joaquín; Furman, Damián Ariel; Junqueras, Juan; Gümüslü, Burçe; Deroy, Ophelia; Sulik, Justin (Universidad Torcuato Di Tella, 2024-06-28)
      We present Reasons For and Against Vaccination (RFAV), a dataset for predicting reasons for and against vaccination, and scientific authorities used to justify them, annotated through nichesourcing and augmented using GPT4 ...

    • Promoting Erroneous Divergent Opinions Increases the Wisdom of Crowds 

      Navajas, Joaquín; et al. (Universidad Torcuato Di Tella, 2024)
      The aggregation of many lay judgements generates surprisingly accurate estimates. This phenomenon, called the “wisdom of crowds”, has been demonstrated in domains such as medical decision making and financial forecasting. ...

    • Promoting Erroneous Divergent Opinions Increases the Wisdom of Crowds 

      Navajas, Joaquín; et al. (Universidad Torcuato Di Tella, 2024-06-12)
      The aggregation of many lay judgments generates surprisingly accurate estimates. This phenomenon, called the “wisdom of crowds,” has been demonstrated in domains such as medical decision-making and financial forecasting. ...