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Validation of an Emotional Pattern Generator with an Eye-Tracking Research Experiment

2022; Óbuda University; Volume: 19; Issue: 11 Linguagem: Inglês

10.12700/aph.19.11.2022.11.12

2064-2687

Laura Trautmann, Attila Piros, Bálint Szabó,

Behavioral Health and Interventions

This article introduces the operation of a previously developed Emotional PatternGenerator and its user-centered validation, through the use of an emotion-driven design case study.As the primary work, various geometric patterns were generated by an in-house Emotional Pattern Generator (EmPatGen) that was successfully developed in MatLab to generate patterns based on user preferences.33 individuals participated in this eye-tracking study, in order to fully comprehend the complexity of the fuzzy logic of the EmPatGen system.The participants were required to select a geometric pattern from a 3x3 palette, based on a situation, with the assistance of personas designed to indicate emotions during the tasks.Eye-tracking results contributed to a comprehensive understanding of the cognitive processes underlying pattern selection, allowing for the user-centric improvement of the applied pattern generator.For instance, it was discovered that female factors played a more significant role in the selection activities; therefore, the fuzzy logic of the generator presented in this article could be improved through a series of user-centered experiments.