mlsanityData to 14 Oct 2026

A Novel Idea Generation Tool using a Structured Conversational AI (CAI) System

arXiv 2409.05747 ↗First posted 9 Sep 2024cs.HC cs.AIcited by 4

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Abstract (arXiv)

This paper presents a novel conversational AI-enabled active ideation interface as a creative idea-generation tool to assist novice designers in mitigating the initial latency and ideation bottlenecks that are commonly observed. It is a dynamic, interactive, and contextually responsive approach, actively involving a large language model (LLM) from the domain of natural language processing (NLP) in artificial intelligence (AI) to produce multiple statements of potential ideas for different design problems. Integrating such AI models with ideation creates what we refer to as an Active Ideation scenario, which helps foster continuous dialogue-based interaction, context-sensitive conversation, and prolific idea generation. A pilot study was conducted with thirty novice designers to generate ideas for given problems using traditional methods and the new CAI-based interface. The key parameters of fluency, novelty, and variety were used to compare the outcomes qualitatively by a panel of experts. The findings demonstrated the effectiveness of the proposed tool for generating prolific, diverse and novel ideas. The interface was enhanced by incorporating a prompt-engineered structured dialogue style for each ideation stage to make it uniform and more convenient for the designers. The resulting responses of such a structured CAI interface were found to be more succinct and aligned towards the subsequent design stage, namely conceptualization. The paper thus established the rich potential of using Generative AI (Gen-AI) for the early ill-structured phase of the creative product design process.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 5 of its 88 references that are in the map. First posted on arXiv 9 Sep 2024.

Builds on

5 of 88 references.

References · 5

  1. 2023Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Modelscited by 698
  2. 2024Hallucination is Inevitable: An Innate Limitation of Large Language Modelscited by 332
  3. 2023Cognitive Mirage: A Review of Hallucinations in Large Language Modelscited by 84
  4. 2022Generative Transformers for Design Concept Generationcited by 21
  5. 2022Guiding Data-Driven Design Ideation by Knowledge Distancecited by 10

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.