INFORMATIONAL INTENTIONALITY AND ARTIFICIAL INTELLIGENCE

AN APPLIED STUDY USING EYE-TRACKING

Abstract

Studies in Information Science prioritize the human bias in technological interactions, highlighting the Post-Phenomenological perspective as a basis for understanding the mutual relationship between subjects and emerging technologies. In this context, Informational Intentionality emerges as an essential contribution to analyzing the mediations between human capabilities and machine functionalities. The objective was to analyze the relationship of subjects with generative artificial intelligences in the academic-scientific field, using eye-tracking technology and interviews to visualize impacts on human intentionality, behavioral patterns, and perceptions. The methodology was characterized as qualitative, descriptive-analytical, and applied research with thirty-eight volunteer participants. Controlled interaction tests were conducted using the Consensus and SapientIA tools, along with interviews, to understand the relationships and levels of perception of the subjects. The results revealed that visual attention is primarily focused on text summaries, highlighting the search for immediacy and time optimization in the academic routine. A lack of knowledge of ethical guidelines and scientific tools was observed, with a predominant feeling of insecurity in the face of technological advancement. The final considerations indicate that interaction with artificial intelligence constitutes a relationship of urgency that shapes the construction of cognitive baggage. It is concluded that mapping Informational Intentionality requires an individual perspective on the factors that compose it and manifest themselves within the informational phenomenon, shaping the subject. Further theoretical and applied studies are recommended to contribute to a greater understanding of the impacts and transformations in knowledge production.