Lune

CHI2026顶会

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

Tamil Selvan Gunasekaran, Sophia Lim, Kunal Gupta, Huidong Bai, Yun Suen Pai, Mark Billinghurst

2026年份
1被引次数

摘要

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.

问问这篇 Paper

问问你的智能体。

Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。

可以从这些问题问起

智能体调用

Lunesearch_papers

在 Lune 里问

免费开始,无需绑卡

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖