Cognitive Bridge: AI-Generated Boundary Objects for Cross-Functional Collaboration

要旨

Cross-functional teams struggle when static collaboration tools fail to keep pace with dynamic conversations. Through a formative study with seven professionals, we identified a critical gap: designers and developers speak different vocabularies, causing semantic misalignments. We present Cognitive Bridge, an AI system that monitors multimodal cues (facial expressions, speech, workspace activity) to detect emerging misunderstandings, then generates adaptive boundary objects, visual diagrams, wireframes, and flowcharts that translate between professional perspectives in real-time. Our controlled study with 16 designer-developer dyads found that Cognitive Bridge reduced communication conflicts by 47% and increased implementable solutions by 34% compared to baseline tools. However, analysis revealed a solution-exploration tradeoff: while AI accelerated alignment, it risked premature convergence that constrained creative exploration. We contribute: (1) a novel system for AI-generated boundary objects, and (2) design implications for balancing cognitive scaffolding with creative agency preservation.

著者
Tamil Selvan Gunasekaran
The University of Auckland, Auckland, New Zealand
Sophia Lim
Brown University, Providence, Rhode Island, United States
Kunal Gupta
The University of Auckland, Grafton, Auckland, New Zealand
Huidong Bai
The University of Auckland, Auckland, New Zealand
Yun Suen Pai
University of Auckland, Auckland, New Zealand
Mark Billinghurst
University of South Australia, Mawson Lakes, Australia

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Group Work

P1 - Room 127
7 件の発表
2026-04-17 20:15:00
2026-04-17 21:45:00