Emotional impact of AI-generated vs. human-composed music in audiovisual media : a biometric and self-report study

Fišer, Nikolaj (avtor), Martín-Pascual, Miguel Ángel (avtor), Andreu-Sánchez, Celia (avtor)

Generative artificial intelligence (AI) has evolved rapidly, sparking debates about its impact on the visual and sonic arts. Despite its growing integration into creative industries, public opinion remains sceptical, viewing creativity as uniquely human. In music production, AI tools are advancing, yet emotional expression remains largely overlooked in development and research. This study examined whether AI-powered music creation can evoke the same emotional impact as human-created music in audiovisual contexts. Participants (N=88) watched videos accompanied by different audio tracks across three conditions: human-created music (HCM), AI-generated music using more sophisticated and detailed keyword prompts (AI-KP) and AIgenerated music using simpler and less detailed prompts based on discrete and dimensional emotional values (AI-DP). Biometric data and personal affective responses were registered during this process. The results show that both AI soundtracks led to wider pupil dilation compared with human-created music but did not differ significantly from each other. AI-generated music with sophisticated prompts (AI-KP) resulted in a higher blink rate and skin impedance level as markers of attention and cognitive load, while emotional valence remained consistent across conditions. Participants found AI-generated music more arousing that HCM, while HCM was perceived as more familiar than both AI conditions.

• Jezik: Angleški jezik
• Ključne besede: emotions, music perception, vision, music cognition, afrificial intelligence, biometrics, pupil, sensory perception
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FF - Filozofska fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Datum objave: 25.06.2025
• Leto izida: 2023
• Št. strani: Str. 1-17
• Številčenje: [Vol.] 20, [iss.] 6, [article no.] e0326498
• PID: 20.500.12556/RUL-177843
• UDK: [004.8:78]:159.91
• ISSN pri članku: 1932-6203
• DOI: 10.1371/journal.pone.0326498
• COBISS.SI-ID: 264111363
• Datum objave v RUL: 09.01.2026

Gradivo je del revije

• Naslov: PloS one
• Založnik: Public Library of Science
• ISSN: 1932-6203
• COBISS.SI-ID: 2005896

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: umetna inteligenca, glasba, zaznavanje glasbe, merjenje očesne aktivnosti, avdiovizualne vsebine, čustveni odzivi, biometrija