Artificial Emotional Intelligence: AI perspectives on emotional transmediation in contemporary science-fiction opera
(2024) Intermedial Networks: The Digital Present and Beyond- Abstract
- This paper investigates the confluence of artificial intelligence (AI), the performing arts, and emotion communication, focusing on how generative AI and social robotics – today’s forefront disruptive technologies – can facilitate an exploration of emotional dynamics across artistic mediums. Drawing on the intermedial and multimodal capacities of opera, this paper presents AI-enhanced opera as a pivotal case study to examine the multimodal transference of emotions through music, speech, scenography, dramatic narrative, and physical action. It specifically focuses on the distinct sub-genre of ‘science-fiction opera’, ranging from the internationally acclaimed Aniara (1959) to The Tale of the Great Computing Machine (2022) in the Swedish... (More)
- This paper investigates the confluence of artificial intelligence (AI), the performing arts, and emotion communication, focusing on how generative AI and social robotics – today’s forefront disruptive technologies – can facilitate an exploration of emotional dynamics across artistic mediums. Drawing on the intermedial and multimodal capacities of opera, this paper presents AI-enhanced opera as a pivotal case study to examine the multimodal transference of emotions through music, speech, scenography, dramatic narrative, and physical action. It specifically focuses on the distinct sub-genre of ‘science-fiction opera’, ranging from the internationally acclaimed Aniara (1959) to The Tale of the Great Computing Machine (2022) in the Swedish tradition and recent proliferations in MIT Media Lab, which epitomise the convergence of AI and cyborg fantasies in the dreamscape of multimedia juxtaposition; these works illuminate the intricately expressive, physiological, and experiential dimensions of emotional transformation via opera’s multi-layered emotional fabric. This paper argues that these operas, innovatively blending AI and artistic creativity, forge new emotional experiences beyond traditional configurations. Catalysed at the liminal space of digital and intermedial collaboration, this idiosyncratic emotional transmediation simulates cognitive processes and emotional responses that evoke desires, dreams, affects, and memories, thus altering our self-perception and interaction with intelligent machines. In doing so, sci-fi opera not only speculates but also realises the paradigm of affective robotics, celebrating AI’s progressive capacity to foster human emotional engagement and induce emotions in itself. Overall, by putting together critical theories from media and cultural studies, AI ethics, emotion AI, and digital humanities, this study contributes to an understanding of digital innovation in cultural contexts, highlighting AI’s pivotal role in transforming emotional experiences in the arts (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/09323267-d4e9-4cae-a1e4-ab30725f07ce
- author
- Huang-Kokina, Alexandra LU
- publishing date
- 2024-10-14
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- Artificial emotional intelligence, Science-fiction opera, Emotion transmediation
- conference name
- Intermedial Networks: The Digital Present and Beyond
- conference location
- Växjö, Sweden
- conference dates
- 2024-10-24 - 2024-10-26
- language
- English
- LU publication?
- no
- id
- 09323267-d4e9-4cae-a1e4-ab30725f07ce
- alternative location
- https://conferences.lnu.se/index.php/indpb/article/view/4564
- date added to LUP
- 2025-02-24 19:08:02
- date last changed
- 2025-04-04 14:45:47
@misc{09323267-d4e9-4cae-a1e4-ab30725f07ce,
abstract = {{This paper investigates the confluence of artificial intelligence (AI), the performing arts, and emotion communication, focusing on how generative AI and social robotics – today’s forefront disruptive technologies – can facilitate an exploration of emotional dynamics across artistic mediums. Drawing on the intermedial and multimodal capacities of opera, this paper presents AI-enhanced opera as a pivotal case study to examine the multimodal transference of emotions through music, speech, scenography, dramatic narrative, and physical action. It specifically focuses on the distinct sub-genre of ‘science-fiction opera’, ranging from the internationally acclaimed Aniara (1959) to The Tale of the Great Computing Machine (2022) in the Swedish tradition and recent proliferations in MIT Media Lab, which epitomise the convergence of AI and cyborg fantasies in the dreamscape of multimedia juxtaposition; these works illuminate the intricately expressive, physiological, and experiential dimensions of emotional transformation via opera’s multi-layered emotional fabric. This paper argues that these operas, innovatively blending AI and artistic creativity, forge new emotional experiences beyond traditional configurations. Catalysed at the liminal space of digital and intermedial collaboration, this idiosyncratic emotional transmediation simulates cognitive processes and emotional responses that evoke desires, dreams, affects, and memories, thus altering our self-perception and interaction with intelligent machines. In doing so, sci-fi opera not only speculates but also realises the paradigm of affective robotics, celebrating AI’s progressive capacity to foster human emotional engagement and induce emotions in itself. Overall, by putting together critical theories from media and cultural studies, AI ethics, emotion AI, and digital humanities, this study contributes to an understanding of digital innovation in cultural contexts, highlighting AI’s pivotal role in transforming emotional experiences in the arts}},
author = {{Huang-Kokina, Alexandra}},
keywords = {{Artificial emotional intelligence; Science-fiction opera; Emotion transmediation}},
language = {{eng}},
month = {{10}},
title = {{Artificial Emotional Intelligence: AI perspectives on emotional transmediation in contemporary science-fiction opera}},
url = {{https://conferences.lnu.se/index.php/indpb/article/view/4564}},
year = {{2024}},
}