ARTIFICIAL INTELLIGENCE AND EMOTIONS: AN EXPLORATORY SURVEY ON THE PERCEPTION OF A.I. TECHNOLOGIES BETWEEN SUPPORT TEACHERS IN TRAINING

Guendalina Peconio, Michele Ciletti, Martina Rossi, Giusi Antonia Toto

Abstract


This paper proposes a reflection on Artificial Intelligence technologies used for affective computing by analyzing the point of view of support teachers in training at the University of Foggia. Through a review of the existing literature on trust towards automated systems, anthropomorphism and educational applications of A.I., the paper proposes to explore soon-to-be teachers’ feelings towards A.I and their willingness to use it. To achieve this, an exploratory survey was conducted on with 596 support teachers in training at the University of Foggia’s TFA Support (F=81.9%) by submitting a questionnaire adapted from the Godspeed scales proposed by Bartneck et al. (2009) and the questionnaire developed by Heerink et al. (2019), based on Venkatesh et al. (2003)’s Unified Theory of Acceptance and Use of Technology. Through an analysis of the obtained results, the paper highlights how the levels of perceived trust and psychological distance towards A.I. systems, in particular those based on affective computing, can vary and influence the intention to adopt and use the systems.

Keywords


Artificial Intelligence; support teachers in training; trust; affective computing; anthropomorphism

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References


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DOI: https://doi.org/10.32043/gsd.v8i3.1117

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