Future directions:

  

I have a few ideas for potential future development of my research. Firstly, I want to solve all technical issues by using an advanced projector and a stable internet connection. Therefore, I could consider collaborating with a tech professional to improve the technological aspects of my project. Additionally, I plan research more about the ownership of AI-generated content. Hence, I will seek opinions from dance experts to better understand their perspectives on the ownership of the work. Another thought is to involve collaborators or perhaps create a team to work on the project. This could facilitate the work by improving the efficacy. I also want to conduct additional workshops and trials to test my ideas and gather more data to work with. Lastly, I am thinking of using this research as a foundation for my Erasmus+ project. Thus, I might explore the possibility of using Erasmus funds to further develop my research.

The project includes two workshops, each with two trails, focusing on improvised choreography based on live conversations with ChatGPT, the audience, and myself as the coordinator. Using ChatGPT as a co-creator makes this research extremely different from traditional dance composition, challenging the limits of dance, technology, and audience participation. The study challenges the boundaries of dance by encouraging dancers to explore new possibilities in choreography with ChatGPT. Although dance and technology have been already used together, the collaboration of ChatGPT and dance is new. Audience engagement is also challenged because spectators need to type in the chat during the performance. Unlike past participatory art, this approach introduces a new way of involving the audience through chat interaction on ChatGPT. In the first attempt, we generated a lot of movement material, with participants asking for additional moves from ChatGPT. However, the second exploration saw increased participant curiosity and a deeper analysis of selected movement steps. The sessions aim to examine the dance sequence creation process and compare results across trials.
Drawing inspiration from participatory art and real-time technology, the project aims to create a unique and interactive dance experience for both dancers and spectators. In conclusion, ChatGPT and The Art of Dance-Making makes an important contribution to dance, technology, and audience participation. It opens the way for further research into AI's role in artistic creativity, inspiring not only the dance community but maybe other art forms such as theatre or visual arts. The project's unusual combination of interactive art, real-time technology, and AI cooperation defines it as a progressive study in dance composition.

Summary:

Limitations:

 

During my Individual Dance Project, which included ChatGPT, audience interaction, and dance choreography, I experienced several limitations. First, audience participation varied from session to session, affecting the inspiration of the dancers. Technical issues, such as poor Internet connection and projector errors, also caused delays. The chat messages were projected on a wall. However, there were often problems with the projection equipment, which kept the text blurry, misplaced, and caused interruptions. This not only limited the dancers' reading of the chat, but it also impacted the audience's view of the projected text. Discussions about ownership of AI-generated content and its influence on traditional dance roles arose. Additionally, the studio lighting limited the visibility of both dancers and spectators. Indeed, when the lights were on, the dancers struggled to read the conversation projected on the white wall; when the lights were off, the audience had difficulties seeing the dancers performing. Furthermore, organising every aspect of the event on my own, from directing the dancers to coordinating the chat and music, became difficult. It became clear that additional support was necessary for the project’s success. In addition, the research outcome depended on the AI’s skill and choreographic knowledge of the participant. Last, I consider that a longer project duration would allow me to involve more participants and conduct comprehensive evaluations. This would have given a better understanding of how audience engagement and AI-generated content affect dance choreography.