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Conference Papers Year : 2023

Integrating AI in Human-Human Collaborative Ideation

Joongi Shin
  • Function : Author
  • PersonId : 1235950
Janin Koch
Andrés Lucero
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  • PersonId : 1018456
Peter Dalsgaard
  • Function : Author
  • PersonId : 1005009
Wendy E. Mackay


People can generate more innovative ideas when they collaborate with one another, collectively exploring ideas and exchanging viewpoints. Advancements in artificial intelligence have opened up new opportunities in people’s creative activities where individual users ideate with diverse forms of AI. For instance, AI agents and intelligent tools have been designed as ideation partners that provide inspiration, suggest ideation methods, or generate alternative ideas. However, what AI can bring to collaborative ideation among a group of users has not been fully understood. Compared to ideating with individuals, ideating with multiple users would require understanding users’ social interaction, transforming individual efforts into a group effort, and—in the end—making users satisfied that they collaborated with other group members. This workshop aims to bring together a community of researchers and practitioners to explore the integration of AI in human-human collaborative ideation. The exploration will center around identifying the potential roles of AI as well as the process and form of collaborative ideation, considering what users want to do with AI or humans.
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Dates and versions

hal-04023507 , version 1 (10-03-2023)
hal-04023507 , version 2 (12-03-2023)




Joongi Shin, Janin Koch, Andrés Lucero, Peter Dalsgaard, Wendy E. Mackay. Integrating AI in Human-Human Collaborative Ideation. Extended Abstracts of the CHI'23 SIGCHI Conference on Human Factors in Computing Systems, Apr 2023, Hamburg, Germany. pp.1-5, ⟨10.1145/3544549.3573802⟩. ⟨hal-04023507v2⟩
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