The Unconscious Response of Multimedia Content Consumers to Emociogenic Visual Symbols: Experimental Study and Oculometry Dataset

Authors

  • Konstantin O. GNIDKO, Andrey S. DUDKIN, Oleg S. IVANOV, Vladimir A. LOKHVITSKY, Sergey V. PILKEVICH , Timur R. SABIROV

Abstract

The publication discusses the problem of forming a dataset that can be used as a training sample for a neural network classifier capable of detection of destructive multimedia content. Special attention is paid to the procedure of experimental research, detection of anomalies and obtaining categorical estimates. The obtained dataset includes various emotionally significant visual stimuli and oculometric data of the subjects and makes it possible to use quantitative and qualitative criteria for assigning visual content to one of the classes: «toxic», «indifferent», «sanogenic». The dataset is free for non-commercial use and is available to researchers at Kaggle.com.

Published

2020-11-01

Issue

Section

Articles