Toward Enhancing Ideation through Collaborative Group-AI Brainwriting

Orit Shaer, Angelora Cooper, Andrew L. Kun, Osnat Mokryn

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper introduces a collaborative group-AI framework for enhancing ideation through co-creation. The proposed framework integrates LLMs into the creative process to support both the divergence stage of idea generation and the convergence stage of evaluation and selection of a few chosen ideas. We describe the framework and the tools we designed to implement it as well as summarize findings from its evaluation with novice designers - students in an advanced interaction design course. Our findings suggest that the framework could enhance both the ideation process and its outcome through human-AI co-creation.

Original languageAmerican English
JournalCEUR Workshop Proceedings
Volume3660
StatePublished - 2024
Event2024 ACM International Conference on Intelligent User Interfaces Workshops, IUI-WS 2024 - Greenville, United States
Duration: 18 Mar 2024 → …

Keywords

  • Brainwriting
  • CEUR-WS
  • Group ideation
  • Human-AI collaboration
  • LLM

All Science Journal Classification (ASJC) codes

  • General Computer Science

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