poster

CausalMapper: Challenging designers to think in systems with Causal Maps and Large Language Model

Authors:

Stephen MacNeilAuthors Info & Claims

C&C '23: Proceedings of the 15th Conference on Creativity and Cognition

Pages 325 - 329

https://doi.org/10.1145/3591196.3596818

Published: 19 June 2023 Publication History

Abstract

Professional designers often construct and explore conceptual representations (e.g.: design spaces) to help them reason about complex design situations and consider potential design pitfalls. However, it is often challenging, even for professional designers, to exhaustively consider the many pitfalls that might result from design activity. We present CausalMapper, a mixed-initiative system, that leverages a large language model (LLM) and a causal map representation to teach design students how to reason about the relationships between problems and solutions. Where creativity support tools often focus on ideating creative solutions, our mixed-initiative approach focuses on ideating ecosystems of solutions that holistically address a set of related problems. By leveraging the generative creativity of LLMs, designers are inspired to consider solutions and potential consequences that emerge when solutions are adopted. At the same time, leveraging the designers’ domain knowledge to account for and correct the biases inherent in LLMs. Through a case study, we demonstrate the functionality of this mixed-initiative system. The goal of this demo is to present a creativity support tool that is intended to teach design students to think more systematically by generating ideas that challenge their thinking rather just augmenting their creative potential.

References

[1]

Abubakar Abid, Maheen Farooqi, and James Zou. 2021. Persistent Anti-Muslim Bias in Large Language Models. Association for Computing Machinery, New York, NY, USA, 298–306. https://doi.org/10.1145/3461702.3462624

Digital Library

[2]

Bilash Kanti Bala, Fatimah Mohamed Arshad, and Kusairi Mohd Noh. 2017. Stock and Flow Diagram. Springer Singapore, Singapore, 53–118. https://doi.org/10.1007/978-981-10-2045-2_4

[3]

Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (Virtual Event, Canada) (FAccT ’21). Association for Computing Machinery, New York, NY, USA, 610–623. https://doi.org/10.1145/3442188.3445922

Digital Library

[4]

Thomas Binder, Andreas Vox, Salim Belyazid, Hordur Haraldsson, and Mats Svensson. 2004. Developing system dynamics models from causal loop diagrams. In Proceedings of the 22nd International Conference of the System Dynamic Society. 1–21.

[5]

Stuart K. Card, Jock D. Mackinlay, and George G. Robertson. 1990. The Design Space of Input Devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Seattle, Washington, USA) (CHI ’90). Association for Computing Machinery, New York, NY, USA, 117–124. https://doi.org/10.1145/97243.97263

Digital Library

[6]

Michelene TH Chi, Robert Glaser, and Ernest Rees. 1981. Expertise in problem solving.Technical Report. Pittsburgh Univ PA Learning Research and Development Center.

[7]

Nigel Cross. 2001. Designerly ways of knowing: Design discipline versus design science. Design issues 17, 3 (2001), 49–55.

[8]

Peter Dalsgaard, Kim Halskov, and Rune Nielsen. 2008. Towards a Design Space Explorer for Media Facades. In Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat (Cairns, Australia) (OZCHI ’08). Association for Computing Machinery, New York, NY, USA, 219–226. https://doi.org/10.1145/1517744.1517816

Digital Library

[9]

Kimberly Do, Rock Yuren Pang, Jiachen Jiang, and Katharina Reinecke. 2023. “That’s important, but...”: How Computer Science Researchers Anticipate Unintended Consequences of Their Research Innovations. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.

Digital Library

[10]

James Finnie-Ansley, Paul Denny, Brett A. Becker, Andrew Luxton-Reilly, and James Prather. 2022. The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming. In Australasian Computing Education Conference (Virtual Event, Australia) (ACE ’22). Association for Computing Machinery, New York, NY, USA, 10–19. https://doi.org/10.1145/3511861.3511863

Digital Library

[11]

Jonas Frich, Lindsay MacDonald Vermeulen, Christian Remy, Michael Mose Biskjaer, and Peter Dalsgaard. 2019. Mapping the landscape of creativity support tools in HCI. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1–18.

Digital Library

[12]

Katherine Fu, Joel Chan, Jonathan Cagan, Kenneth Kotovsky, Christian Schunn, and Kristin Wood. 2013. The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output. Journal of Mechanical Design 135, 2 (01 2013). https://doi.org/10.1115/1.4023158 arXiv:https://asmedigitalcollection.asme.org/mechanicaldesign/article-pdf/135/2/021007/6221498/md_135_2_021007.pdf021007.

[13]

Katy Ilonka Gero, Vivian Liu, and Lydia Chilton. 2022. Sparks: Inspiration for Science Writing Using Language Models. In Designing Interactive Systems Conference (Virtual Event, Australia) (DIS ’22). Association for Computing Machinery, New York, NY, USA, 1002–1019. https://doi.org/10.1145/3532106.3533533

Digital Library

[14]

Jeffrey Heer. 2019. Agency plus automation: Designing artificial intelligence into interactive systems. Proceedings of the National Academy of Sciences 116, 6 (2019), 1844–1850.

[15]

Scarlett R Herring, Chia-Chen Chang, Jesse Krantzler, and Brian P Bailey. 2009. Getting inspired! Understanding how and why examples are used in creative design practice. In Proceedings of the SIGCHI conference on human factors in computing systems. 87–96.

Digital Library

[16]

Tom Hope, Ronen Tamari, Daniel Hershcovich, Hyeonsu B Kang, Joel Chan, Aniket Kittur, and Dafna Shahaf. 2022. Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22). Association for Computing Machinery, New York, NY, USA, Article 12, 15 pages. https://doi.org/10.1145/3491102.3517434

Digital Library

[17]

Eric Horvitz. 1999. Principles of Mixed-Initiative User Interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Pittsburgh, Pennsylvania, USA) (CHI ’99). Association for Computing Machinery, New York, NY, USA, 159–166. https://doi.org/10.1145/302979.303030

Digital Library

[18]

Gaoping Huang and Alexander J. Quinn. 2017. BlueSky: Crowd-Powered Uniform Sampling of Idea Spaces. In Proceedings of the 2017 ACM SIGCHI Conference on Creativity and Cognition (Singapore, Singapore) (C&C ’17). Association for Computing Machinery, New York, NY, USA, 119–130. https://doi.org/10.1145/3059454.3059481

Digital Library

[19]

Kosuke Ishii and Burton H Lee. 1996. Reverse fishbone diagram: a tool in aid of design for product retirement. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Vol. 80494. American Society of Mechanical Engineers, V001T01A008.

[20]

David G. Jansson and Steven M. Smith. 1991. Design fixation. Design Studies 12, 1 (1991), 3–11. https://doi.org/10.1016/0142-694X(91)90003-F

[21]

Ellen Jiang, Kristen Olson, Edwin Toh, Alejandra Molina, Aaron Donsbach, Michael Terry, and Carrie J Cai. 2022. PromptMaker: Prompt-based Prototyping with Large Language Models. In CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–8.

[22]

Ellen Jiang, Edwin Toh, Alejandra Molina, Aaron Donsbach, Carrie J Cai, and Michael Terry. 2021. GenLine and GenForm: Two Tools for Interacting with Generative Language Models in a Code Editor. In The Adjunct Publication of the 34th Annual ACM Symposium on User Interface Software and Technology (Virtual Event, USA) (UIST ’21). Association for Computing Machinery, New York, NY, USA, 145–147. https://doi.org/10.1145/3474349.3480209

Digital Library

[23]

Hyeonsu B Kang, Gabriel Amoako, Neil Sengupta, and Steven P Dow. 2018. Paragon: An online gallery for enhancing design feedback with visual examples. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. 1–13.

Digital Library

[24]

Joy Kim, Maneesh Agrawala, and Michael S Bernstein. 2017. Mosaic: designing online creative communities for sharing works-in-progress. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. 246–258.

Digital Library

[25]

Mark Klein. 2011. The MIT deliberatorium: Enabling large-scale deliberation about complex systemic problems. In 2011 International Conference on Collaboration Technologies and Systems (CTS). 161–161. https://doi.org/10.1109/CTS.2011.5928678

[26]

Samuel Lau, Tricia J. Ngoon, Vineet Pandey, and Scott Klemmer. 2019. Experiment Reconstruction Reduces Fixation on Surface Details of Explanations. In Proceedings of the 2019 on Creativity and Cognition (San Diego, CA, USA) (C&C ’19). Association for Computing Machinery, New York, NY, USA, 578–582. https://doi.org/10.1145/3325480.3326582

Digital Library

[27]

Julie S Linsey, Ian Tseng, Katherine Fu, Jonathan Cagan, Kristin L Wood, and Christian Schunn. 2010. A study of design fixation, its mitigation and perception in engineering design faculty. (2010).

[28]

Li Lucy and David Bamman. 2021. Gender and representation bias in GPT-3 generated stories. In Proceedings of the Third Workshop on Narrative Understanding. 48–55.

[29]

Allan MacLean, Richard M Young, Victoria ME Bellotti, and Thomas P Moran. 1991. Questions, Options, and Criteria: Elements of Design Space Analysis. Human–Computer Interaction 6, 3-4 (1991), 201–250.

[30]

Stephen MacNeil, Zijian Ding, Kexin Quan, Ziheng Huang, Kenneth Chen, and Steven P. Dow. 2021. ProbMap: Automatically Constructing Design Galleries through Feature Extraction and Semantic Clustering. Association for Computing Machinery, New York, NY, USA, 134–136. https://doi.org/10.1145/3474349.3480203

Digital Library

[31]

Stephen MacNeil, Johanna Okerlund, and Celine Latulipe. 2017. Dimensional Reasoning and Research Design Spaces. In Proceedings of the 2017 ACM SIGCHI Conference on Creativity and Cognition (Singapore, Singapore) (C&C ’17). Association for Computing Machinery, New York, NY, USA, 367–379. https://doi.org/10.1145/3059454.3059472

Digital Library

[32]

Mary Lou Maher, Josiah Poon, and Sylvie Boulanger. 1996. Formalising design exploration as co-evolution. In Advances in formal design methods for CAD. Springer, 3–30.

[33]

Philip Mendels, Joep Frens, and Kees Overbeeke. 2011. Freed: a system for creating multiple views of a digital collection during the design process. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 1481–1490.

Digital Library

[34]

Gilberto Montibeller and Valerie Belton. 2006. Causal maps and the evaluation of decision options—a review. Journal of the Operational Research Society 57, 7 (2006), 779–791.

[35]

Jeremy Murphy, Katherine Fu, Kevin Otto, Maria Yang, Dan Jensen, and Kristin Wood. 2014. Function Based Design-by-Analogy: A Functional Vector Approach to Analogical Search. Journal of Mechanical Design 136, 10 (08 2014). https://doi.org/10.1115/1.4028093 arXiv:https://asmedigitalcollection.asme.org/mechanicaldesign/article-pdf/136/10/101102/6224844/md_136_10_101102.pdf101102.

[36]

Priyanka Nanayakkara, Nicholas Diakopoulos, and Jessica Hullman. 2020. Anticipatory ethics and the role of uncertainty. arXiv preprint arXiv:2011.13170 (2020).

[37]

Laria Reynolds and Kyle McDonell. 2021. Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI EA ’21). Association for Computing Machinery, New York, NY, USA, Article 314, 7 pages. https://doi.org/10.1145/3411763.3451760

Digital Library

[38]

Horst W Rittel and Melvin M Webber. 1974. Wicked problems. Man-made Futures 26, 1 (1974), 272–280.

[39]

Hyeonik Song and Katherine Fu. 2019. Design-by-Analogy: Exploring for Analogical Inspiration With Behavior, Material, and Component-Based Structural Representation of Patent Databases. Journal of Computing and Information Science in Engineering 19 (04 2019). https://doi.org/10.1115/1.4043364

[40]

Tongshuang Wu, Michael Terry, and Carrie Jun Cai. 2022. AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22). Association for Computing Machinery, New York, NY, USA, Article 385, 22 pages. https://doi.org/10.1145/3491102.3517582

Digital Library

[41]

Robert J Youmans and Thomaz Arciszewski. 2014. Design fixation: Classifications and modern methods of prevention. AI EDAM 28, 2 (2014), 129–137.

[42]

Ann Yuan, Andy Coenen, Emily Reif, and Daphne Ippolito. 2022. Wordcraft: Story Writing With Large Language Models. In 27th International Conference on Intelligent User Interfaces (Helsinki, Finland) (IUI ’22). Association for Computing Machinery, New York, NY, USA, 841–852. https://doi.org/10.1145/3490099.3511105

Digital Library

Cited By

Chen PWu YLi ZZhang HZhou MYao JYou WSun L(2025)GPSdesign: Integrating Generative AI with Problem-Solution Co-Evolution Network to Support Product Conceptual DesignInternational Journal of Human–Computer Interaction10.1080/10447318.2025.2453003(1-21)Online publication date: 10-Feb-2025
https://doi.org/10.1080/10447318.2025.2453003
Imteyaz KFlores Saviaga CSavage S(2024)GigSenseGigSenseAvances en Interacción Humano-Computadora10.47756/aihc.y9i1.1599:1(135-145)Online publication date: 30-Nov-2024
https://doi.org/10.47756/aihc.y9i1.159
Armstrong LLiu AMacNeil SMetaxa D(2024)The Silicon Ceiling: Auditing GPT’s Race and Gender Biases in HiringProceedings of the 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization10.1145/3689904.3694699(1-18)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3689904.3694699
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cover image ACM Conferences

C&C '23: Proceedings of the 15th Conference on Creativity and Cognition

June 2023

564 pages

ISBN:9798400701801

DOI:10.1145/3591196

Copyright © 2023 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 19 June 2023

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C&C '23: Creativity and Cognition

June 19 - 21, 2023

Virtual Event, USA

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Cited By

Chen PWu YLi ZZhang HZhou MYao JYou WSun L(2025)GPSdesign: Integrating Generative AI with Problem-Solution Co-Evolution Network to Support Product Conceptual DesignInternational Journal of Human–Computer Interaction10.1080/10447318.2025.2453003(1-21)Online publication date: 10-Feb-2025
https://doi.org/10.1080/10447318.2025.2453003
Imteyaz KFlores Saviaga CSavage S(2024)GigSenseGigSenseAvances en Interacción Humano-Computadora10.47756/aihc.y9i1.1599:1(135-145)Online publication date: 30-Nov-2024
https://doi.org/10.47756/aihc.y9i1.159
Armstrong LLiu AMacNeil SMetaxa D(2024)The Silicon Ceiling: Auditing GPT’s Race and Gender Biases in HiringProceedings of the 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization10.1145/3689904.3694699(1-18)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3689904.3694699
Denny PMacNeil SSavelka JPorter LLuxton-Reilly AMonga MLonati VBarendsen ESheard JPaterson J(2024)Desirable Characteristics for AI Teaching Assistants in Programming EducationProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653574(408-414)Online publication date: 3-Jul-2024
https://dl.acm.org/doi/10.1145/3649217.3653574
Hou IMettille SMan OLi ZZastudil CMacNeil S(2024)The Effects of Generative AI on Computing Students’ Help-Seeking PreferencesProceedings of the 26th Australasian Computing Education Conference10.1145/3636243.3636248(39-48)Online publication date: 29-Jan-2024
https://dl.acm.org/doi/10.1145/3636243.3636248
Wazzan AMacNeil SSouvenir R(2024)Comparing Traditional and LLM-based Search for Image GeolocationProceedings of the 2024 Conference on Human Information Interaction and Retrieval10.1145/3627508.3638305(291-302)Online publication date: 10-Mar-2024
https://dl.acm.org/doi/10.1145/3627508.3638305
Huang ZGutierrez SKamana HMacneil S(2023)Memory Sandbox: Transparent and Interactive Memory Management for Conversational AgentsAdjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586182.3615796(1-3)Online publication date: 29-Oct-2023
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