The Role of Different Types of Conversations for Meeting Success
- Ke Zhou,
- Marios Constantinides,
- ,
- Sagar Joglekar,
- Daniele Quercia
- Nokia Bell Labs,
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 35-42Journal (Volume, Issue Number)
I E E E Pervasive Computing (Volume 20, Issue 4)Publication milestones
- Published - 13/11/2021
Publication status
Published - 13/11/2021
ISSN
1536-1268Publication IDs
- Scopus: 85121687901
Abstract
While current meeting tools are able to capture key analytics from both text and voice (e.g., meeting summarization), they do not often capture important types of conversations (e.g., a heated discussion resulting in a conflict being resolved). We developed a framework that not only analyzes text and voice, but also quantifies fundamental types of conversations. Upon analyzing 72 hours of conversations from 85 real-world virtual meetings together with their 256 self-reported meeting success scores, we found that our quantification of types of conversations (e.g., social support, conflict resolution) was more predictive of meeting success than traditional voice and text analytics. These new techniques will be essential to uncover patterns in online meetings that might otherwise go unnoticed.
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Access to documents
Accepted author manuscript, 452.22 KB
