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"When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction
arXiv β CS AI|Kihoon Son, Hyewon Lee, DaEun Choi, Yoonsu Kim, Tae Soo Kim, Yoonjoo Lee, John Joon Young Chung, HyunJoon Jung, Juho Kim||4 views
π€AI Summary
Researchers developed CLEO, an AI system that enables real-time collaborative context awareness between humans and AI agents by interpreting concurrent user actions on shared artifacts. A study with professional designers identified key interaction patterns and decision factors for when to delegate work to AI versus collaborate directly.
Key Takeaways
- βTraditional AI agents provide only final outputs or read-only processes without interpreting concurrent user actions during collaboration.
- βCLEO system can interpret collaborative intent and adapt in real-time during human-AI co-creative work.
- βStudy revealed designers choose delegation 70.1% of the time, direction 28.5%, and concurrent work 31.8% of interactions.
- βResearch identified five action patterns, six triggers, and four enabling factors that determine collaboration modes.
- βProcess visibility helps humans understand AI actions but creates conflicts when agents cannot distinguish feedback from independent work.
#human-ai-collaboration#concurrent-interaction#collaborative-ai#mixed-initiative#ai-research#creative-collaboration#context-awareness#real-time-adaptation
Read Original βvia arXiv β CS AI
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