CLFeb 17, 2023

Extraction of Constituent Factors of Digestion Efficiency in Information Transfer by Media Composed of Texts and Images

arXiv:2302.09189v1h-index: 10
AI Analysis

This addresses the need for better evaluation of information understanding in media for users, but it appears incremental as it builds on existing factor analysis methods.

The study tackled the problem of evaluating information transfer beyond mere receipt by introducing the concept of 'information digestion' for correct understanding, and extracted constituent factors of digestibility using hierarchical factor analysis across four media types.

The development and spread of information and communication technologies have increased and diversified information. However, the increase in the volume and the selection of information does not necessarily promote understanding. In addition, conventional evaluations of information transfer have focused only on the arrival of information to the receivers. They need to sufficiently take into account the receivers' understanding of the information after it has been acquired, which is the original purpose of the evaluation. In this study, we propose the concept of "information digestion," which refers to the receivers' correct understanding of the acquired information, its contents, and its purpose. In the experiment, we proposed an evaluation model of information digestibility using hierarchical factor analysis and extracted factors that constitute digestibility by four types of media.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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