Algorithms and Interoperability between Drama and Artificial Intelligence

Pizzo, Antonio; Lombardo, V.; Damiano, Rossana

doi:10.1162/dram_a_00872

Cited by 11 publications

(3 citation statements)

References 29 publications

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“…As a group formation method, it can be applied both in actual classroom conditions with schoolchildren, as well as in digital societies, like digital drama, assisting the educator since it is able to offset problems in the multi-criteria clustering of pupils (Pizzo et al, 2019). The biggest benefit of the particular approach is that it can be used to a variety of pupils and suggest group formations in a minimal time of 8.6 s, by means.…”

Section: Discussionmentioning

confidence: 99%

A bio-inspired computational classifier system for the evaluation of children’s theatrical anxiety at school

et al. 2023

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Theatrical performance constitutes a complicated way for students to express and to communicate with each other, since it targets both various artistic and educational goals. Even though it constitutes a top moment of students’ expression, several students do not feel comfortable when participating in such cultural activities, as performance anxiety, a negative emotional experience stemming from the public audience exposure, affects them. The aim of this research is to apply and evaluate a student segmentation technique with the help of bio-inspired computational intelligence, for identifying high levels of performance anxiety at schoolchildren. A Mayfly-based clustering optimization algorithm is applied on a dataset with 774 instances of students to classify them according to their levels of emotions and performance anxiety that are developed during the event. A comparison with a genetic algorithm as well as particle swarm optimization shows that the proposed method is distinguished by superior categorization capabilities. The findings demonstrate the effective dissimilar student groups formation, with the members of each being distinguished by similar characteristics in terms of emotions and performance anxiety, highlighting the ones with unmanageable emotional experiences. Therefore, the drama educator is able to effortlessly detect, manage students and develop coping practices in those at risk, by acknowledging each group’s characteristics.

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Section: Discussionmentioning

confidence: 99%

A bio-inspired computational classifier system for the evaluation of children’s theatrical anxiety at school

et al. 2023

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“…In the context of computational museology, algorithms combined with artificial intelligence are helping to open up otherwise abstract information in embodied knowledge archives and make it reperformable (e.g. Pizzo et al 2019). The upshot of these approaches is that scholars of ICH and reenactment can both learn from and teach using these interactive databases (see 1.3 and 1.4 for further discussion).…”

Section: Computational Museology: a 'Systems Thinking' Model For Radical Intangibles And Digital Embodied Heritagementioning

confidence: 99%

Radical Intangibles: Materializing the Ephemeral

Kenderdine

Hibberd

Shaw

2021

M and S

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New materialism considers that the world and its histories are produced by a range of material forces that extend from the physical and the biological to the psychological, social and cultural. In recognizing that heritage is not held in objects alone, new materialism discourses echo definitions of intangible cultural heritage (ICH) enshrined in the 2003 UNESCO Convention for the Safeguarding of the Intangible Cultural Heritage. While museums understand the weight of responsibility when engaging with communities of practice, many still restrict the representation of archived ICH material to oral histories, object biographies, video and audio recordings of songs and performing arts. The technical complexities of archiving the ‘live’ perpetuate nineteenth-century museum display conventions, such as fixed-point perspectives and linear approaches to representation. To address this gap, we introduce ‘computational museology’, which brings a systems thinking approach to 'whole of environment' encoding. Such a framework unites, for instance, artificial intelligence with data curation, and ontology with visualization, as well as embodied participation through immersive and interactive interfaces. The implications of such a framework has yet to be fully theorized but it is evident that a new paradigm of materiality comprising ‘radical intangibles’ is taking shape in museums, which signals a break with both Western historiographic orthodoxies and hypothetical paradigms of tangible and intangible heritage. This article foregrounds the emergence of radical intangibles as crucial new digital materialities that are transforming reenacted and embodied practices, which we demonstrate in the discussion of two longitudinal curatorial projects based in China and Hong Kong: the first, 'Hong Kong Martial Arts Living Archive' (HKMALA) in collaboration with the International Goushou Association in Hong Kong, and the second, ‘Remaking Confucian Rites’ (RCR), undertaken in conjunction with Tsinghua University in Beijing. Both of these projects are significant for having taken up ‘technologies of corporeality’ – digital paradigms at the forefront of computer graphics, spatial and temporal modelling, and virtual reality. The powerful tools being developed across the two instances have begun to revolutionize ICH as a practice, a mode of transmission, and an object of study.

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“…Artificial Intelligence (AI) has traditionally been perceived as a domain confined to computer science, with marginal applicability to the social sciences. Yet, as the practical implications of AI technologies have expanded, significance of AI is progressively being recognized as central to discussions within the information social sciences (Mondal, 2020) [1][2]. This impact, in recent years, has extended to the field of theatrical and stage arts, causing even the once conservative, and even proud theatre practitioners to align with the adoption of AI and even consider transitioning into AI professionals.…”

Section: Introductionmentioning

confidence: 99%

Navigating the Future Landscape: Probing the Mechanism and Feeding Model of AI within Theatrical Arts

Feng

2024

Art Stud Crit

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This scholarly article explores the application and impact of artificial intelligence (AI) in the realm of theatrical art creation, providing an analysis of the current state, challenges, and future development of the integration of AI and theatre. Through comprehensive case studies of various theatrical works both domestically and abroad, the article delineates four major “feeding” models of AI in theatre creation, discussing the specific applications and effects of these modes within the sphere of artistic creation. The symbiotic relationship between human creators and AI during the creative process is emphasized, envisioning the potential of AI as an innovative collaborator advancing theatrical artsalongside human creators. Despite present challenges confronting AI in theatrical creation, such as emotional depth and data dependency, the potential demonstrated in enhancing creative efficiency and expanding the scope of artistic expression is noteworthy.

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Algorithms and Interoperability between Drama and Artificial Intelligence

Cited by 11 publications

References 29 publications

A bio-inspired computational classifier system for the evaluation of children’s theatrical anxiety at school

A bio-inspired computational classifier system for the evaluation of children’s theatrical anxiety at school

Radical Intangibles: Materializing the Ephemeral

Navigating the Future Landscape: Probing the Mechanism and Feeding Model of AI within Theatrical Arts

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