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Meeting Bridges: Designing Information Artifacts that Bridge from Synchronous Meetings to Asynchronous Collaboration

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arxiv 2402.03259 v1 pith:ROVD6OSY submitted 2024-02-05 cs.HC

classification cs.HC
keywords meetinginformationartifactsbridgescollaborationmeetingsasynchronouspost-meeting
verification ladder T0 review T1 audit T2 compute T3 formal

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A recent surge in remote meetings has led to complaints of ``Zoom fatigue'' and ``collaboration overload,'' negatively impacting worker productivity and well-being. One way to alleviate the burden of meetings is to de-emphasize their synchronous participation by shifting work to and enabling sensemaking during post-meeting asynchronous activities. Towards this goal, we propose the design concept of meeting bridges, or information artifacts that can encapsulate meeting information towards bridging to and facilitating post-meeting activities. Through 13 interviews and a survey of 198 information workers, we learn how people use online meeting information after meetings are over, finding five main uses: as an archive, as task reminders, to onboard or support inclusion, for group sensemaking, and as a launching point for follow-on collaboration. However, we also find that current common meeting artifacts, such as notes and recordings, present challenges in serving as meeting bridges. After conducting co-design sessions with 16 participants, we distill key principles for the design of meeting bridges to optimally support asynchronous collaboration goals. Overall, our findings point to the opportunity of designing information artifacts that not only support users to access but also continue to transform and engage in meeting information post-meeting.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. More AI Assistance Reduces Cognitive Engagement: Examining the AI Assistance Dilemma in AI-Supported Note-Taking

    cs.HC 2025-09 conditional novelty 6.0 of 10

    In a 30-person within-subject study, moderate AI note assistance produced the highest comprehension, while fully automated notes produced the lowest despite being preferred.

  2. What Does Success Look Like? Catalyzing Meeting Intentionality with AI-Assisted Prospective Reflection

    cs.HC 2025-05 conditional novelty 6.0 of 10

    A study with 18 employees found that a generative AI Meeting Purpose Assistant can help people clarify meeting goals, anticipate challenges, and change how they prepare, with social and technical barriers to adoption.

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