Exploring the Potential for Generative AI-based Conversational Cues for Real-Time Collaborative Ideation

Author:

Rayan Jude1ORCID,Kanetkar Dhruv1ORCID,Gong Yifan1ORCID,Yang Yuewen2ORCID,Palani Srishti1ORCID,Xia Haijun3ORCID,Dow Steven P.4ORCID

Affiliation:

1. Design Lab, University of California, United States

2. New York University, United States

3. Department of Cognitive Science and Design Lab, University of California, San Diego, United States

4. Dept of Cognitive Science, University of California, San Diego, United States

Publisher

ACM

Reference78 articles.

1. Understanding workplace meetings: A qualitative taxonomy of meeting purposes;Allen Joseph;Management Research Review,2014

2. Olaf Adan and Steven Houben. 2023. CollEagle; Tangible Human-AI Interaction for Collocated Collaboration. (2023).

3. Andrea Agostinelli, Timo I Denk, Zalán Borsos, Jesse Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, 2023. Musiclm: Generating music from text. arXiv preprint arXiv:2301.11325 (2023).

4. InspirationWall

5. Bon Adriel Aseniero, Marios Constantinides, Sagar Joglekar, Ke Zhou, and Daniele Quercia. 2020. MeetCues: Supporting online meetings experience. In 2020 IEEE Visualization Conference (VIS). IEEE, 236–240.

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