1,721,134 research outputs found
Dai robot social all'intelligenza artificiale e ChatGPT: riflessioni su tecnologie "in corsa"
No full textI robot sociali stanno trasformando il modo di produrre e trasmettere la conoscenza in vari contesti educativi, offrendo un modo coinvolgente di insegnare e di imparare e avendo dimostrato di aumentare l'interesse per l'apprendimento. La fiducia, le emozioni, le abilità cognitive estese, il metaverso e l'arte sono alcuni degli argomenti che vengono approfonditi nella cornice dell'interazione uomo-robot.
Progettati per rapportarsi agli esseri umani in modo naturale e intuitivo, i robot sociali rendono più facile l'interazione e la progettazione di percorsi di co-costruzione della conoscenza. Attraverso le interazioni con un robot sociale, le persone possono esercitare le loro abilità, come l'ascolto attivo, l'empatia e le capacità di risoluzione dei problemi
Human Perceptions of Robotics in Agriculture
No full textIn recent years, the agricultural sector has been witnessing a technological change characterized by the automation of various activities also due to the use of some robotic technologies. As for the field of application, the pioneer- ing solutions available on the market aim at performing non-selective oper- ations. A key point of success in this field of research is the implementation of cognitive human processes in the algorithms driving robot actions. Howev- er, the perception that people have of the use of robots in agriculture is still little studied. The current research is a preliminary study aiming at describ- ing human perception of different robotic solutions that are already availa- ble on the market and/or that will be potentially developed in future. An on- line survey analyzed different case studies encompassing several robotic plat- forms that are expected to perform selective vs. non-selective and high risk vs. low-risk operations in viticulture. The study evaluated human perception of 49 students mainly enrolled at the faculties of education and psychology with a moderate knowledge in agriculture. The results showed that people prefer the use of humans over robots to perform selective agricultural activities, thus possibly reflecting greater reliability associated to humans in making decisions and performing selective tasks. On the other hand, when comparing the dif- ferent robots, the humanoid robot ‘replaces’ the human, i.e., people consider it as the robot to be used in selective activities requiring more complex deci- sions. This is also confirmed when analyzing the perception on the effect that the introduction of humanoid robots may have in different domains of agri- culture: there is a preference for the use of humanoid robots for performing selective tasks in both the safety and quality domains. Finally, autonomous ve- hicles are preferred to humanoid robot in terms of increased work productivi- ty and reduced risk. Generally, these findings allow us to hypothesize that peo- ple place human and robots on two different ontological levels with respect to their mental characteristics, as reported by the participants’ preference for us- ing robots in tasks that do not require complex decisions. This consideration is further supported by the few differences found between humans and robots in both high and low risk non-selective tasks
Critical Thinking in the Data Age. New Challenges, New Literacies
No full textThe article's aim is to make us aware of the situation in which we find today with regard to the media industry, marked by the so-called “fourth wave” of media development: data are the protagonists of this situation with their pervasiveness. Starting from this point, it reflects on how this reality of data challenges education, pushing us to rethink the meaning of Media Literacy. We let ourselves be guided by the Buckingham's idea of a Bigger Picture helping us to understand the problem of the use of tools in a broader scenario, in which the great economic and political logics affecting digital capitalism are the real protagonists.
The point of arrival is to identify a framework for Data Literacy and to try, starting from it, to think about its teaching. The result of this work is to identify spaces in the educational contexts in which to raise the awareness of the subjects, helping them to live in an increasingly critical and autonomous way: as can be understood from this last emphasis, therefore, it’s impossible today do not consider Data Literacy as a fundamental element of our citizenshi
Educazione economica e finanziaria: proposte dalla psicologia dello sviluppo e dell’educazione
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Of Men, Machines and Their Interactive Behavior. When AI and Robotics Meet Behavioral Economics
No full textThis chapter surveys the main contributions in the behavioral economics literature dealing with the study of interactions between human and ‘artificial’ agents. While human-computer interactions have been extensively studied in the last decade, Artificial Intelligence and humanoid robots have entered the focus of attention of behavioral economics only very recently. Early studies used artificial agents as a ‘trick’ to observe a subject’s reaction ‘free’ from other confounding factors (such as gender, ethnicity, age etc.) intrinsically embedded in confederate human partners. More recent works study the occurrence of similar or dissimilar behaviors based on the partners’ nature. The experimental evidence surveyed in this chapter shows that interactions with artificial agents trigger less of an emotional response in the subjects, while subjects tend to extend to humanoid robots similar attributes that they attach to human beings, provided that robots are able to display emotions, empathy and effective and context-related communication. The description of the main results of an original experiment, devised by the authors, concludes the paper
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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