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14th ICCC 2023: Bozen-Bolzano, Italy
- Alison Pease, João Miguel Cunha, Maya Ackerman, Daniel G. Brown:
Proceedings of the 14th International Conference on Computational Creativity, Ontario, Canada, June 19-23, 2023. Association for Computational Creativity (ACC) 2023, ISBN 978-989-54160-5-9 - Tony Veale:
Have I Got Views For You! Generating Fair and Balanced Interventions into Online Debates. 2-9 - Piotr Sawicki, Marek Grzes, Fabrício Góes, Anna Jordanous, Dan Brown, Simona Paraskevopoulou, Max Peeperkorn, Aisha Khatun:
On the power of special-purpose GPT models to create and evaluate new poetry in old styles. 10-19 - Karan Taneja, Richard B. Segal, Richard Goodwin:
Monte Carlo Tree Search for Recipe Generation using GPT-2. 20-28 - Mohamad Elzohbi, Richard Zhao:
Creative Data Generation: A Review Focusing on Text and Poetry. 29-38 - Robert Morain, Branden Kinghorn, Dan Ventura:
Are Language Models Unsupervised Multi-domain CC Systems? 39-43 - Tao Long, Dorothy Zhang, Grace Li, Batool Taraif, Samia Menon, Kynnedy Simone Smith, Sitong Wang, Katy Ilonka Gero, Lydia B. Chilton:
Tweetorial Hooks: Generative AI Tools to Motivate Science on Social Media. 44-53 - Dan Ventura:
The Emperor's New Co-Author. 55-63 - Zhiyu Lin, Upol Ehsan, Rohan Agarwal, Samihan Dani, Vidushi Vashishth, Mark O. Riedl:
Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems. 64-73 - Luís Espírito Santo, André C. Santos, Marcio Lima Inácio:
Focusing on artists' needs: Using a cultural probe for artist-centred creative software development. 74-83 - Francisco Ibarrola, Kazjon Grace:
Differentiable Quality-Diversity for Co-Creative Sketching AI. 84-88 - Daniel Lopes, Jéssica Parente, Pedro Silva, Licínio Roque, Penousal Machado:
Can Creativity be Enhanced by Computational Tools? 89-92 - Giovanni Lion:
Exploring post-phenomenological perspectives on creativity with GPT-4. 93-97 - Brad Spendlove, Dan Brown:
What Makes Gameplay Creative? 98-101 - Hugh Xuechen Liu, Yuxuan Huang, Jussi Holopainen:
Call for Critical and Speculative Design in Human-Computer Co-creativity: An Overview Study. 102-111 - Michael J. Muller, Heloisa Candello, Justin D. Weisz:
Interactional Co-Creativity of Human and AI in Analogy-Based Design. 112-116 - Alison Pease, Simon Colton, Berker Banar:
On the Notion of Creative Personhood. 117-121 - Rafael Pérez Y. Pérez:
A computer model to evaluate the coherence of characters' behaviour based on their emotional relationships. 123-132 - Dan Brown, Max Peeperkorn:
Reviewing, Creativity, and Algorithmic Information Theory. 133-142 - Max Peeperkorn, Dan Brown, Anna Jordanous:
On Characterizations of Large Language Models and Creativity Evaluation. 143-147 - Iikka Hauhio, Anna Kantosalo, Simo Linkola, Hannu Toivonen:
The Spectrum of Unpredictability and its Relation to Creative Autonomy. 148-152 - Simo Linkola, Iikka Hauhio:
Many Meanings of Intentionality: A Brief Disambiguation for Computational Creativity. 153-156 - Carolyn Lamb, Dan Brown:
Should we have seen the coming storm? Transformers, society, and CC. 157-161 - Ken Déguernel, Bob L. T. Sturm:
Bias in Favour or Against Computational Creativity: A Survey and Reflection on the Importance of Socio-cultural Context in its Evaluation. 162-171 - Marzia Bilwani, Anna Jordanous:
Emojinator: An Emoji Generator to Represent Emotions. 173-182 - Gualtiero Colombo, Hantao Liu, Roger M. Whitaker:
Exploring Human Models of Innovation for Generative AI. 183-191 - Daniel Lopes, João Correia, Penousal Machado:
Towards the Automatic Evaluation of Visual Balance for Graphic Design Posters. 192-199 - Marinus van den Oever, Anna Jordanous, Rob Saunders:
Co-Creativity between Music Producers and 'Smart' versus 'Naive' Generative Systems in a Melody Composition Task. 200-204 - Anahita Doosti, Matthew Guzdial:
Transfer learning for Underrepresented Music Generation. 205-209 - Bryan Wilson, James Skripchuk, John Bacher:
Exploring Psychoacoustic Representations for Machine Learning Music Generation. 210-214 - José Lopes, João M. Cunha, Pedro Martins:
Stonkinator: An Automatic Generator of Memetic Images. 215-224 - Simon Colton, Berker Banar, Sara Cardinale:
Neuro-Symbolic Generation of Music with Talking Points. 225-233 - Juliana Shihadeh, Margareta Ackerman:
What Does Genius Look Like? An Analysis of Brilliance Bias in Text-to-Image Models. 235-244 - Janet Rafner, Blanka Zana, Tristan Beolet, Safinaz Büyükgüzel, Neil Maiden, Ewen Michel, Sebastian Risi, Jacob Sherson:
Crea.visions: A Platform for Casual Co-Creation with Purpose, Envisioning the Future through Human-AI Collaboration with Multiple Stakeholders. 245-253 - Sebastian Berns, Simon Colton, Christian Guckelsberger:
Towards Mode Balancing of Generative Models via Diversity Weights. 254-263 - Vanessa Utz, Steve DiPaola:
Climate Implications of Diffusion-based Generative Visual AI Systems and their Mass Adoption. 264-272 - Yuanyang Ren, Aswath Sivakumaran, Emma Niemelä, Petra Jääskeläinen:
How to Make AI Artists Feel Guilty in a Good Way? Designing Integrated Sustainability Reflection Tools (SRTs) for Visual Generative AI. 273-277 - Juliana Shihadeh, Margareta Ackerman:
Shattering Bias: A Path to Bridging the Gender Divide with Creative Machines. 278-282 - Marzia Bilwani, Anna Jordanous:
Diversity and Representation in ICCC: A review of Computational Creativity publication content and authorship trends 2017-2022. 283-287 - Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi:
Diversity is Not a One-Way Street: Pilot Study on Ethical Interventions for Racial Bias in Text-to-Image Systems. 288-292 - Alison Pease, Arnold Pease:
Computational Creativity and the Climate Crisis. 293-297 - Connor Wilhelm, Dan Ventura:
Gaining Expertise through Task Re-Representation. 299-303 - Jonathan Demke, Kazjon Grace, Francisco Ibarrola, Dan Ventura:
Transformational Creativity Through the Lens of Quality-Diversity. 304-307 - Francisco Ibarrola, Kazjon Grace:
Prompt diversification for iterating with text-to-image models. 308-311 - Alexander Elton-Pym, Kazjon Grace:
CardLab: A Simple Co-Creative Interface for Designing and Testing Cards in Hearthstone. 312-316 - Piotr Sawicki, Marek Grzes, Fabrício Góes, Dan Brown, Max Peeperkorn, Aisha Khatun:
Bits of Grass: Does GPT already know how to write like Whitman? 317-321 - Liane Gabora:
Steps Toward Quantum Computational Creativity. 322-326 - Geoffrey Lazarus, Kazjon Grace:
Minimally Juxtapository Tasks as a Co-Creative Systems User Study Method. 327-331 - Jingmiao Zhao, Carolyn Jane Anderson:
Solving and Generating NPR Sunday Puzzles with Large Language Models. 332-336 - Brad Spendlove, Dan Ventura:
Constraints as Catalysts: A (De)Construction of Codenames as a Creative Task. 337-341 - Fabrício Góes, Piotr Sawicki, Marek Grzes, Marco Volpe, Jacob Watson:
Pushing GPT's Creativity to Its Limits: Alternative Uses and Torrance Tests. 342-346 - Varvara Guljajeva, Mar Canet Sola, Isaac Joseph Clarke:
Explaining CLIP through Co-Creative Drawings and Interaction. 347-351 - Charlotte Bird:
Evaluating Prompt Engineering as a Creative Practice. 352-356 - Suk Kyoung Choi, Steve DiPaola:
AI as other: An art-as-research approach to generative AI art practice. 357-361 - Lauryn Gayhardt, Margareta Ackerman, Lee Cheatley:
Fostering Mental Well-Being through Creative Interaction: An Assessment of SOVIA. 362-366 - Fabrício Góes, Piotr Sawicki, Marek Grzes, Marco Volpe, Dan Brown:
Is GPT-4 Good Enough to Evaluate Jokes? 367-371 - Sean Luke:
Computational Creativity as Dynamic, Multiobjective, Multiagent Optimization. 372-376 - Amineh Ahmadi Nejad, Thecla Schiphorst, Steve DiPaola:
Art, Activism, and AI: Generating Visual Narratives of Injustice through Research-Creation with a Feminist Lens. 377-381 - Pablo Gervás:
Improving Efficiency and Coherence in Evolutionary Story Generation. 382-386 - Gonzalo Méndez, Pablo Gervás:
Using ChatGPT for Story Sifting in Narrative Generation. 387-391 - Gabriel Vigliensoni, Rebecca Fiebrink:
Steering latent audio models through interactive machine learning. 393-396 - Qisheng Liao, Gus Xia, Zhinuo Wang:
Calliffusion: Chinese Calligraphy Generation and Style Transfer with Diffusion Modeling. 397-401 - Simon Colton, Blanca Pérez Ferrer, Amy Smith, Sebastian Berns:
Artist Discovery with Stable Evolusion. 402-406 - Jaechang Ko, Sora Key:
Integrating AI/ML Techniques in Parametric Modeling for Creative Design. 407-411 - Sean Luke, Victoria Violet Hoyle:
Co-creative Music Synthesizer Patch Exploration. 412-416 - Kevin Dunnell, Trudy Painter, Andrew Stoddard, Andrew Lippman:
Latent Lab: Large Language Models for Knowledge Exploration. 417-421 - Shin Sano, Seiji Yamada:
Composing Mood Board with User Feedback in Concept Space. 422-426 - Matthew Rice, Simon Colton:
The Lena Singer Project: Simulating the Learning Experience of a Singer. 427-431 - Daniel Lopes, João Correia, Penousal Machado:
Towards the Automatic Customisation of Editable Graphics. 432-436 - Yuetian Chen, Bowen Shi, Mei Si:
Prompt to GPT-3: Step-by-Step Thinking Instructions for Humor Generation. 437-441 - Angel Hsing-Chi Hwang, Samy Badreddine, Frederick Gifford, Tarek R. Besold:
Recipe 2.0: Information Presentation for AI-Supported Culinary Idea Generation. 443-452 - Nadia M. Ady, Faun Rice:
Interdisciplinary Methods in Computational Creativity: How Human Variables Shape Human-Inspired AI Research. 453-457 - Alayt Issak:
Stories Stay, Lessons Leave: Principles on AI Art from Photography. 458-462
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