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Found 20 papers, 3 papers with code
Holon: a cybernetic interface for bio-semiotics
This paper presents an interactive artwork, "Holon", a collection of 130 autonomous, cybernetic organisms that listen and make sound in collaboration with the natural environment.
No Longer Trending on Artstation: Prompt Analysis of Generative AI Art
Image generation using generative AI is rapidly becoming a major new source of visual media, with billions of AI generated images created using diffusion models such as Stable Diffusion and Midjourney over the last few years.
Creative Discovery using QD Search
In creative design, where aesthetics play a crucial role in determining the quality of outcomes, there are often multiple worthwhile possibilities, rather than a single ``best'' design.
Message Ritual: A Posthuman Account of Living with Lamp
As we become increasingly entangled with digital technologies, the boundary between human and machine is progressively blurring.
Is Writing Prompts Really Making Art?
In recent years Generative Machine Learning systems have advanced significantly.
Towards the Generation of Musical Explanations with GPT-3
Open AI's language model, GPT-3, has shown great potential for many NLP tasks, with applications in many different domains.
Explainable Computational Creativity
Human collaboration with systems within the Computational Creativity (CC) field is often restricted to shallow interactions, where the creative processes, of systems and humans alike, are carried out in isolation, without any (or little) intervention from the user, and without any discussion about how the unfolding decisions are taking place.
Quality-diversity for aesthetic evolution
We show that the quality-diversity search is able to find multiple phenotypes of high aesthetic value.
Complexity and Aesthetics in Generative and Evolutionary Art
We apply a series of different complexity measures to three different evolutionary art datasets and look at the correlations between complexity and individual aesthetic judgement by the artist (in the case of two datasets) or the physically measured complexity of generative 3D forms.
Growing and Evolving 3D Prints
We find that by evolving first for aesthetic complexity, then evolving for structural consistency until the form is 'just printable', gives the best results.
Searching for Designs in-between
The use of evolutionary methods in design and art is increasing in diversity and popularity.
The Enigma of Complexity
We apply a series of different complexity measures to three different generative art datasets and look at the correlations between complexity and individual aesthetic judgement by the artist (in the case of two datasets) or the physically measured complexity of 3D forms.
Deep Learning of Individual Aesthetics
Accurate evaluation of human aesthetic preferences represents a major challenge for creative evolutionary and generative systems research.
Mirror Ritual: An Affective Interface for Emotional Self-Reflection
This paper introduces a new form of real-time affective interface that engages the user in a process of conceptualisation of their emotional state.
Facial Expression Recognition
Facial Expression Recognition (FER)
Mirror Ritual: Human-Machine Co-Construction of Emotion
Mirror Ritual is an interactive installation that challenges the existing paradigms in our understanding of human emotion and machine perception.
Understanding Aesthetic Evaluation using Deep Learning
A bottleneck in any evolutionary art system is aesthetic evaluation.
Adaptive Music Composition for Games
The generation of music that adapts dynamically to content and actions has an important role in building more immersive, memorable and emotive game experiences.
Autonomy, Authenticity, Authorship and Intention in computer generated art
This paper examines five key questions surrounding computer generated art.
Camera Obscurer: Generative Art for Design Inspiration
Using a visual similarity search for image retrieval, the \emph{Camera Obscurer} app enables rapid searching of tens of thousands of generated abstract images of various types.
In a Silent Way: Communication Between AI and Improvising Musicians Beyond Sound
When human musicians improvise together, a number of extra-musical cues are used to augment musical communication and expose mental or emotional states which affect musical decisions and the effectiveness of the collaboration.
Human-Computer Interaction
