AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics

• URL: http://arxiv.org/abs/2202.03246v1
• Date: Mon, 7 Feb 2022 14:51:02 GMT
• Title: AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics
• Authors: Piera Riccio, Kristin Bergaust, Boel Christensen-Scheel, Juan-Carlos De Martin, Maria A. Zuluaga, Stefano Nichele
• Abstract summary: We present an AI-based Brain-Computer Interface (BCI) in which humans and machines interact to express feelings artistically. We seek to understand the dynamics of this interaction to reach better co-existence in fairness, inclusion, and aesthetics.
• Score: 2.6928226868848864
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: While Artificial Intelligence (AI) technologies are being progressively developed, artists and researchers are investigating their role in artistic practices. In this work, we present an AI-based Brain-Computer Interface (BCI) in which humans and machines interact to express feelings artistically. This system and its production of images give opportunities to reflect on the complexities and range of human emotions and their expressions. In this discussion, we seek to understand the dynamics of this interaction to reach better co-existence in fairness, inclusion, and aesthetics.

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