Prosociality is a social and individual virtue, which evokes mixed feelings in the modern world. Generally, prosociality behavior is defined as “actions taken for the benefit of one or more other persons” (Wispe, 1972). The Digital Revolution and the birth of artificial intelligence, such as the Google Mini, allowed the transition from elitist experience to mass experience. The study has an exploratory function and starts from the Man-AI interaction, in a provocative and oppositional conversational context created by the Human Being. In the research, it is hypothesized, therefore, that the synthesis of the artificial voice does not allow to characterize all the facets of the tone and the emotionality of the prosociality. As a result, Artificial Intelligence is programmed to always respond in a “gentle” way, putting in place different facets of prosociality, which are well detected in the emotionality and prosodic analysis, above all in the recognition of “pitch” speech pattern. While emotional tone analysis confirms the “understanding” of reading the communicative context of Artificial Intelligence. Among future perspectives it is highlighted how the study of these vocal patterns of artificial prosociality can be a springboard for research on bullying, using the Google Mini Prosocial tool.

Google Mini: Italian Example of Artificial Prosociality

Papapicco, Concetta
2020-01-01

Abstract

Prosociality is a social and individual virtue, which evokes mixed feelings in the modern world. Generally, prosociality behavior is defined as “actions taken for the benefit of one or more other persons” (Wispe, 1972). The Digital Revolution and the birth of artificial intelligence, such as the Google Mini, allowed the transition from elitist experience to mass experience. The study has an exploratory function and starts from the Man-AI interaction, in a provocative and oppositional conversational context created by the Human Being. In the research, it is hypothesized, therefore, that the synthesis of the artificial voice does not allow to characterize all the facets of the tone and the emotionality of the prosociality. As a result, Artificial Intelligence is programmed to always respond in a “gentle” way, putting in place different facets of prosociality, which are well detected in the emotionality and prosodic analysis, above all in the recognition of “pitch” speech pattern. While emotional tone analysis confirms the “understanding” of reading the communicative context of Artificial Intelligence. Among future perspectives it is highlighted how the study of these vocal patterns of artificial prosociality can be a springboard for research on bullying, using the Google Mini Prosocial tool.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/370268
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