Abstract
Brain-Computer Interaction (BCI) technology can be used in several areas having recently gained increased interest with diverse applications in the area of Human Computer Interaction (HCI). In this area one of the central aspects relates to the ease of perceiving information. Typography is one of the central elements that, when properly used, can provide better readability and understanding of the information to be communicated. In this sense, this multidisciplinary work (typography and cognitive neuroscience) examines how the brain processes typographic information using EEG technology. In this context, the main goal of this work is to obtain information about the users when reading several words written in different typefaces and deduce theirs mental states (fatigue, stress, immersion) through user’s electroencephalogram signals (EEG). Additionally, several EEG features were extracted, namely the energy of Theta, Alpha and Beta waves, as well as, the variability of these bands’ energy. It is considered that this is a preliminary study in this area and may be extended to another type of design features.
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Teixeira, A.R., Gomes, A. (2020). An Experimental Study of Typography Using EEG Signal Parameters. In: Kurosu, M. (eds) Human-Computer Interaction. Design and User Experience. HCII 2020. Lecture Notes in Computer Science(), vol 12181. Springer, Cham. https://doi.org/10.1007/978-3-030-49059-1_34
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DOI: https://doi.org/10.1007/978-3-030-49059-1_34
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