novelty-seeking/research/references.md

References

Core Related Work

1. Siangliulue, P., Arnold, K. C., Gajos, K. Z., & Dow, S. P. (2017). Bringing the Wisdom of the Crowd to an Individual by Having the Individual Assume Different Roles. Proceedings of the 2017 ACM SIGCHI Conference on Creativity and Cognition (C&C '17), 131-141.

   • https://dl.acm.org/doi/10.1145/3059454.3059467

2. Liu, Y., Sharma, A., et al. (2024). PersonaFlow: Designing LLM-Simulated Expert Perspectives for Enhanced Research Ideation. arXiv preprint.

   • https://arxiv.org/html/2409.12538v1
   • https://www.semanticscholar.org/paper/PersonaFlow:-Designing-LLM-Simulated-Expert-for-Liu-Sharma/eb0c224be9191e39452f20b2cbb886b5ecc4f57b

3. Choi, J., et al. (2023). PopBlends: Strategies for Conceptual Blending with Large Language Models. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.

   • https://dl.acm.org/doi/10.1145/3544548.3580948

4. BILLY Authors (2025). BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation. arXiv preprint.

   • https://arxiv.org/html/2510.10157v1

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Semantic Distance & Creative Cognition

5. Mednick, S. A. (1962). The associative basis of the creative process. Psychological Review, 69(3), 220-232.

   • (Classic foundational paper)

6. Kenett, Y. N., & Faust, M. (2019). Going the Extra Creative Mile: The Role of Semantic Distance in Creativity – Theory, Research, and Measurement. The Cambridge Handbook of the Neuroscience of Creativity.

   • https://www.cambridge.org/core/books/abs/cambridge-handbook-of-the-neuroscience-of-creativity/going-the-extra-creative-mile-the-role-of-semantic-distance-in-creativity-theory-research-and-measurement/3AD9143E69A463F85F2D8CC8940425CA

7. Beaty, R. E., & Johnson, D. R. (2021). Automating creativity assessment with SemDis: An open platform for computing semantic distance. Behavior Research Methods, 53, 757-780.

   • https://link.springer.com/article/10.3758/s13428-020-01453-w

8. What can quantitative measures of semantic distance tell us about creativity? (2018). Current Opinion in Behavioral Sciences.

   • https://www.sciencedirect.com/science/article/abs/pii/S2352154618301098

9. Semantic Memory and Creativity: The Costs and Benefits of Semantic Memory Structure in Generating Original Ideas (2023). PMC.

   • https://pmc.ncbi.nlm.nih.gov/articles/PMC10128864/

10. The Role of Semantic Associations as a Metacognitive Cue in Creative Idea Generation (2023). PMC.

    • https://pmc.ncbi.nlm.nih.gov/articles/PMC10141130/

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Conceptual Blending Theory

11. Fauconnier, G., & Turner, M. (2002). The Way We Think: Conceptual Blending and the Mind's Hidden Complexities. Basic Books.

12. Conceptual Blending - Wikipedia Overview

    • https://en.wikipedia.org/wiki/Conceptual_blending

13. Pereira, F. C. (2007). Creativity and Artificial Intelligence: A Conceptual Blending Approach. Mouton de Gruyter.

    • https://dl.acm.org/doi/10.5555/1557446
    • https://www.researchgate.net/publication/332711522_Creativity_and_Artificial_Intelligence_A_Conceptual_Blending_Approach

14. Confalonieri, R., et al. (2018). A computational framework for conceptual blending. Artificial Intelligence, 256, 105-129.

    • https://www.sciencedirect.com/science/article/pii/S000437021730142X

15. Trisociation with AI for Creative Idea Generation (2025). California Management Review.

    • https://cmr.berkeley.edu/2025/01/trisociation-with-ai-for-creative-idea-generation/

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Design Fixation & Constraint-Based Creativity

16. Jansson, D. G., & Smith, S. M. (1991). Design fixation. Design Studies, 12(1), 3-11.

    • (Classic foundational paper)

17. Design Fixation: A Cognitive Model. Design Society.

    • https://www.designsociety.org/download-publication/25504/design_fixation_a_cognitive_model

18. Crilly, N. (2019). Research Design Fixation. Cambridge Repository.

    • https://www.repository.cam.ac.uk/bitstreams/2c002015-8771-4694-ad48-0e4b52008bdf/download

19. Using fMRI to deepen our understanding of design fixation (2020). Design Science, Cambridge Core.

    • https://www.cambridge.org/core/journals/design-science/article/using-fmri-to-deepen-our-understanding-of-design-fixation/2DD81FEE8ED682F6DFF415BF2948EFA6

20. Acar, O. A., Tarakci, M., & van Knippenberg, D. (2019). Creativity and Innovation Under Constraints: A Cross-Disciplinary Integrative Review. Journal of Management, 45(1), 96-121.

    • https://journals.sagepub.com/doi/full/10.1177/0149206318805832

21. Cromwell, J. R. (2024). How combinations of constraint affect creativity: A new typology of creative problem solving in organizations. Organizational Psychology Review.

    • https://journals.sagepub.com/doi/10.1177/20413866231202031

22. Creativity from constraints: Theory and applications to education (2022). Thinking Skills and Creativity.

    • https://www.sciencedirect.com/science/article/abs/pii/S1871187122001870

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LLM Limitations in Creative Generation

23. Wadinambiarachchi, S., et al. (2024). The Effects of Generative AI on Design Fixation and Divergent Thinking. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems.

    • https://dl.acm.org/doi/full/10.1145/3613904.3642919
    • https://arxiv.org/html/2403.11164v1

24. Inspiration booster or creative fixation? The dual mechanisms of LLMs in shaping individual creativity in tasks of different complexity (2025). Humanities and Social Sciences Communications (Nature).

    • https://www.nature.com/articles/s41599-025-05867-9

25. Gallegos, I. O., et al. (2024). Bias and Fairness in Large Language Models: A Survey. Computational Linguistics, 50(3), 1097-1179. MIT Press.

    • https://direct.mit.edu/coli/article/50/3/1097/121961/Bias-and-Fairness-in-Large-Language-Models-A

26. Generalization bias in large language model summarization of scientific research (2025). Royal Society Open Science, 12(4).

    • https://royalsocietypublishing.org/rsos/article/12/4/241776/235656/Generalization-bias-in-large-language-model

27. LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models (2025). arXiv.

    • https://arxiv.org/html/2505.19240v1

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Persona Prompting & Multi-Agent Systems

28. Quantifying the Persona Effect in LLM Simulations (2024). ACL 2024.

    • https://aclanthology.org/2024.acl-long.554.pdf
    • https://www.emergentmind.com/topics/persona-effect-in-llm-simulations

29. Two Tales of Persona in LLMs: A Survey of Role-Playing (2024). EMNLP Findings.

    • https://aclanthology.org/2024.findings-emnlp.969.pdf

30. LLM Generated Persona is a Promise with a Catch (2024). Semantic Scholar.

    • https://www.semanticscholar.org/paper/LLM-Generated-Persona-is-a-Promise-with-a-Catch-Li-Chen/3ea29481ec11d1568fde727d236f71e44e4e2ad0

31. Using AI for User Representation: An Analysis of 83 Persona Prompts (2025). arXiv.

    • https://arxiv.org/html/2508.13047v1

32. Scaffolding Creativity: How Divergent and Convergent Personas Shape AI-Assisted Ideation (2025). arXiv.

    • https://arxiv.org/pdf/2510.26490

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Role-Playing & Perspective-Taking

33. Chung, T. S. (2013). Table-top role playing game and creativity. Thinking Skills and Creativity, 8, 56-71.

    • https://www.researchgate.net/publication/257701334_Table-top_role_playing_game_and_creativity

34. The effect of tabletop role-playing games on the creative potential and emotional creativity of Taiwanese college students (2015). Thinking Skills and Creativity.

    • https://www.researchgate.net/publication/284013184_The_effect_of_tabletop_role-playing_games_on_the_creative_potential_and_emotional_creativity_of_Taiwanese_college_students

35. Psychology and Role-Playing Games (2019). ResearchGate.

    • https://www.researchgate.net/publication/331758159_Psychology_and_Role-Playing_Games

36. Role Playing and Perspective Taking: An Educational Point of View (2020). ResearchGate.

    • https://www.researchgate.net/publication/346610467_Role_Playing_and_Perspective_Taking_An_Educational_Point_of_View

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Creativity Support Tools & Evaluation

37. Jordanous, A. (2018). Evaluating Computational Creativity: An Interdisciplinary Tutorial. ACM Computing Surveys, 51(2), Article 28.

    • https://dl.acm.org/doi/10.1145/3167476

38. Evaluating Creativity in Computational Co-Creative Systems (2018). ResearchGate.

    • https://www.researchgate.net/publication/326646917_Evaluating_Creativity_in_Computational_Co-Creative_Systems

39. The Intersection of Users, Roles, Interactions, and Technologies in Creativity Support Tools (2021). DIS '21.

    • https://dl.acm.org/doi/10.1145/3461778.3462050

40. What Counts as 'Creative' Work? Articulating Four Epistemic Positions in Creativity-Oriented HCI Research (2024). CHI '24.

    • https://dl.acm.org/doi/10.1145/3613904.3642854

41. Colton, S., & Wiggins, G. A. (2012). Computational Creativity: The Final Frontier? ECAI 2012.

    • https://link.springer.com/article/10.1007/s00354-020-00116-w

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AI-Augmented Design & Ideation

42. The effect of AI-based inspiration on human design ideation (2023). CoDesign.

    • https://www.tandfonline.com/doi/full/10.1080/21650349.2023.2167124

43. A Hybrid Prototype Method Combining Physical Models and Generative AI to Support Creativity in Conceptual Design (2024). ACM TOCHI.

    • https://dl.acm.org/doi/10.1145/3689433

44. Artificial intelligence for design education: A conceptual approach to enhance students' divergent and convergent thinking (2025). IJTDE.

    • https://link.springer.com/article/10.1007/s10798-025-09964-3

45. The Ideation Compass: Supporting interdisciplinary creative dialogues with real time visualization (2022). CoDesign.

    • https://www.tandfonline.com/doi/full/10.1080/21650349.2022.2142674

46. Guiding data-driven design ideation by knowledge distance (2021). Knowledge-Based Systems.

    • https://www.sciencedirect.com/science/article/abs/pii/S0950705121001362

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CHI/CSCW Related Papers

47. Chan, J., Dang, S., & Dow, S. P. (2016). Improving Crowd Innovation with Expert Facilitation. CSCW '16.

48. Koch, J., et al. (2020). ImageSense: An Intelligent Collaborative Ideation Tool to Support Diverse Human-Computer Partnerships. CSCW '20.

49. Yu, L., Kittur, A., & Kraut, R. E. (2014). Distributed Analogical Idea Generation: Inventing with Crowds. CHI '14.

50. Crowdboard (2017). C&C '17.

    • https://dl.acm.org/doi/10.1145/3059454.3059477

51. Collaborative Creativity (2011). CHI '11.

    • https://dl.acm.org/doi/10.1145/1978942.1979214

52. Beyond Automation: How UI/UX Designers Perceive AI as a Creative Partner in the Divergent Thinking Stages (2025). arXiv.

    • https://arxiv.org/html/2501.18778

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Additional Resources

53. Automatic Scoring of Metaphor Creativity with Large Language Models (2024). Creativity Research Journal.

    • https://www.tandfonline.com/doi/full/10.1080/10400419.2024.2326343

54. Wisdom of Crowds - Surowiecki, J. (2004). The Wisdom of Crowds. Doubleday.

    • https://en.wikipedia.org/wiki/The_Wisdom_of_Crowds

55. Research: When Used Correctly, LLMs Can Unlock More Creative Ideas (2025). Harvard Business Review.

    • https://hbr.org/2025/12/research-when-used-correctly-llms-can-unlock-more-creative-ideas