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Emotional expression encompasses how individuals convey their emotions through verbal communication and non-verbal cues. These non-verbal actions include facial expressions, body language, and physical gestures, such as frowning or smiling. Among these, facial expressions play a crucial role in emotional expression and are understood universally, indicating a biological basis for how humans communicate emotions.
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Examining Changes in HRV and Emotion Following Artmaking with Three Different Art Materials
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Assessing Emotion and Sensitivity of AI Artwork.

Ujué Agudo1,2, Miren Arrese2, Karlos G Liberal2

  • 1Departamento de Psicología, Universidad de Deusto, Bilbao, Spain.

Frontiers in Psychology
|April 28, 2022
PubMed
Summary
This summary is machine-generated.

People perceive Artificial Intelligence (AI) art as lower quality and less emotional when they know it is AI-generated. This suggests biases about AI creativity influence art evaluation.

Keywords:
artartificial intelligencebiashuman–computer interactionmusicstereotype

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Area of Science:

  • Cognitive Science
  • Artificial Intelligence Ethics
  • Art Perception

Background:

  • Artificial Intelligence (AI) is increasingly creating art, a domain previously exclusive to humans.
  • Empirical data on public perception of AI's creative capabilities is limited.
  • Understanding human biases towards AI-generated content is crucial.

Purpose of the Study:

  • To investigate how knowledge of an artwork's AI origin affects human perception and evaluation.
  • To determine if stereotypes about AI creativity influence aesthetic judgments.
  • To provide empirical evidence on the impact of AI in creative domains.

Main Methods:

  • Two experiments exposed participants to AI-generated art (audiovisual and auditory).
  • Participants evaluated artwork, with conditions differing in whether the artist was disclosed as human or AI.
  • Data collection included evaluations of sensitivity, emotional impact, and overall quality.

Main Results:

  • Participants rated AI-generated art lower in sensitivity, emotional evocation, and quality when aware of its AI origin compared to when believing it was human-created.
  • Results were consistent across different art forms and experimental settings.
  • Art evaluation is significantly modulated by pre-existing stereotypes and biases regarding AI's creative skills.

Conclusions:

  • Human perception of art is influenced by preconceived notions about the creator's nature (human vs. AI).
  • Biases against AI's creative potential can lead to diminished aesthetic appreciation.
  • Further research is needed to understand and mitigate these biases in human-AI creative collaborations.