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We present a comprehensive, in-depth review of ideation assisted by large language models (LLMs), highlighting emerging trends and identifying unaddressed research gaps.
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“Using artificial neural networks to model creativity in problem solving”
Monica Garfield, John Satzinger and Alan Dennis · 2001
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“The constraining effects of initial ideas”
Steven Smith · 2003
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“A typology of innovation management systems”
James Fairbank, William Spangler and Scott Williams · 2003
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“Ideas in the workplace: A new approach towards organizing the fuzzy front end of the innovation process”
Heinz-Jürgen Boeddrich · 2004
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“Creativity in the wild: Improving creative reasoning through immersion in natural settings”
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“Cognitive influences on creativity: Process, strategy, and knowledge”
Carrie Blair and Michael Mumford · 2007
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“Innovation management in emerging technology ventures–the concept of an integrated idea management”
Alexander Brem and Kai-Ingo Voigt · 2007
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“Triz for engineers: Enabling inventive problem solving”
Andrew Gamlin, Robert Yourd and Valerie Patrick · 2007
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“Using social knowledge for idea generation in innovation management systems”
Efthimios Bothos, Dimitris Apostolou and Gregoris Mentzas · 2008
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“Better than brainstorming? Potential contextual boundary conditions to brainwriting for idea generation in organizations”
Peter Heslin · 2009
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“Idea management for organizational innovation and development”
Alexander Brem and Kai-Ingo Voigt · 2009
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“Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement”
David Moher, Alessandro Liberati, Jennifer Tetzlaff, Douglas Altman and t PRISMA* · 2009
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“Managing innovation in the network economy”
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“Creativity in the wild: Improving creative reasoning through immersion in natural settings”
Ruth Wilson, Joy Guilford, Paul Christensen and Donald Lewis · 2010
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“Idea management system for team creation”
Luning Xie and Peng Zhang · 2010
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“Collaborative fixation: Effects of others’ ideas on brainstorming”
Nicholas Kohn and Steven Smith · 2011
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“Innovationsmanagement: von der Idee zur erfolgreichen Vermarktung”
Dietmar Vahs and Alexander Brem · 2013
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“Accelerating innovation through analogy mining”
Tom Hope, Joel Chan, Aniket Kittur and Dafna Shahaf · 2017
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“Idea management revisited: A review of the literature and guide for implementation”
Sophia Gerlach and Alexander Brem · 2017
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“Divergent thinking for developing innovative ideas”
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“Ideation in the digital age: literature review and integrative model for electronic brainstorming”
Yossi Maaravi, Ben Heller, Yael Shoham, Shay Mohar and Baruch Deutsch · 2021
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“A systematic literature review about idea mining: The use of machine-driven analytics to generate ideas”
Workneh Ayele and Gustaf Juell-Skielse · 2021
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“The PRISMA 2020 statement: an updated guideline for reporting systematic reviews”
Matthew Page, Joanne McKenzie, Patrick Bossuyt, Isabelle Boutron, Tammy Hoffmann, Cynthia Mulrow, Larissa Shamseer, Jennifer Tetzlaff, Elie Akl and Sue Brennan · 2021
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“Controlling language models with thought prompts”
Lars Maaløe, Joachim Kristensen and Christian Igel · 2022
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“Self-consistency improves chain of thought reasoning in language models”
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi and Denny Zhou · 2022
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“Wordcraft: story writing with large language models”
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“TaleBrush: Sketching stories with generative pretrained language models”
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“A redhead walks into a bar: experiences of writing fiction with artificial intelligence”
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“Lampost: Design and evaluation of an ai-assisted email writing prototype for adults with dyslexia”
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“Writer-defined AI personas for on-demand feedback generation”
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“” It Felt Like Having a Second Mind”: Investigating Human-AI Co-creativity in Prewriting with Large Language Models”
Qian Wan, Siying Hu, Yu Zhang, Piaohong Wang, Bo Wen and Zhicong Lu · 2024
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“Mystery game script compose based on a large language model”
Jiameng Li, Zhen Chen, Weiran Lin, Liangjun Zou, Xin Xie, Yaodong Hu and Dianmo Li · 2024
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“A publishing infrastructure for Artificial Intelligence (AI)-assisted academic authoring”
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“Intelligent Support Engages Writers Through Relevant Cognitive Processes”
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“SHAPE-IT: Exploring Text-to-Shape-Display for Generative Shape-Changing Behaviors with LLMs”
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“LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing”
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“Personaflow: Boosting research ideation with llm-simulated expert personas”
Yiren Liu, Pranav Sharma, Mehul Oswal, Haijun Xia and Yun Huang · 2024
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“Scideator: Human-LLM Scientific Idea Generation Grounded in Research-Paper Facet Recombination”
Marissa Radensky, Simra Shahid, Raymond Fok, Pao Siangliulue, Tom Hope and Daniel Weld · 2024
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“Machine-assisted social psychology hypothesis generation.”
Sachin Banker, Promothesh Chatterjee, Himanshu Mishra and Arul Mishra · 2024
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“The use of ChatGPT to generate experimentally testable hypotheses for improving the surface passivation of perovskite solar cells”
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“GPT Prompt Engineering for a Large Language Model-Based Process Improvement Generation System”
Donghyeon Lee, Jaewook Lee and Dongil Shin · 2024
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“(In) forming the new building envelope: A pedagogical study in generative design with precedents and multimodal large language models”
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“Prompt Engineering for Knowledge Creation: Using Chain-of-Thought to Support Students’ Improvable Ideas”
Alwyn Lee, Chew Teo and Seng Tan · 2024
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“” Like a Nesting Doll”: Analyzing Recursion Analogies Generated by CS Students Using Large Language Models”
Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa and Stephen MacNeil · 2024
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“Large Language Model Agents Enabled Generative Design of Fluidic Computation Interfaces”
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“LLMCRIT: Teaching Large Language Models to Use Criteria”
Weizhe Yuan, Pengfei Liu and Matthias Gallé · 2024
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“Graph of thoughts: Solving elaborate problems with large language models”
Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Michal Podstawski, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Hubert Niewiadomski and Piotr Nyczyk · 2024
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“Jamplate: Exploring LLM-Enhanced Templates for Idea Reflection”
Xiaotong Xu, Jiayu Yin, Catherine Gu, Jenny Mar, Sydney Zhang, Jane E and Steven Dow · 2024
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“Supermind Ideator: How Scaffolding Human-AI Collaboration Can Increase Creativity”
Jennifer Heyman, Steven Rick, Gianni Giacomelli, Haoran Wen, Robert Laubacher, Nancy Taubenslag, Max Knicker, Younes Jeddi, Pranav Ragupathy and Jared Curhan · 2024
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“Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation”
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“Generating personas using LLMs and assessing their viability”
Andreas Schuller, Doris Janssen, Julian Blumenröther, Theresa Probst, Michael Schmidt and Chandan Kumar · 2024
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“Real-Time Ideation Analyzer and Information Recommender”
Midhad Blazevic, Lennart Sina, Cristian Secco, Melanie Siegel and Kawa Nazemi · 2024
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“Creative Commuter: Towards Designing Moments for Idea Generation and Incubation during the Commute”
Pablo Paredes, Matthew Hong, Shabnam Hakimi and Matthew Klenk · 2024
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“Collaborative Canvas: A Tool for Exploring LLM Use in Group Ideation Tasks”
Gabriel Gonzalez, Dario Moran, Stephanie Houde, Jessica He, Steven Ross, Michael Muller, Siya Kunde and Justin Weisz · 2024
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“AI-Augmented Brainwriting: Investigating the use of LLMs in group ideation”
Orit Shaer, Angelora Cooper, Osnat Mokryn, Andrew Kun and Hagit Ben · 2024
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