T-Cal: Understanding team conversation data with calendar-based visualization

Siwei Fu, Jian Zhao, Hao Fei Cheng, Haiyi Zhu, Jennifer Marlow

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Understanding team communication and collaboration patterns is critical for improving work efficiency in organizations. This paper presents an interactive visualization system, T-Cal, that supports the analysis of conversation data from modern team messaging platforms (e.g., Slack). T-Cal employs a user-familiar visual interface, a calendar, to enable seamless multi-scale browsing of data from different perspectives. T-Cal also incorporates a number of analytical techniques for disentangling interleaving conversations, extracting keywords, and estimating sentiment. The design of T-Cal is based on an iterative user-centered design process including interview studies, requirements gathering, initial prototypes demonstration, and evaluation with domain users. The resulting two case studies indicate the effectiveness and usefulness of T-Cal in real-world applications, including daily conversations within an industry research lab and student group chats in a MOOC.

Original languageEnglish (US)
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450356206, 9781450356213
DOIs
StatePublished - Jan 1 2018
Event2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada
Duration: Apr 21 2018Apr 26 2018

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume2018-April

Other

Other2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
CountryCanada
CityMontreal
Period4/21/184/26/18

Keywords

  • Calendar-based visualization
  • Conversation data
  • Team messaging platforms
  • Visual analytics

Fingerprint Dive into the research topics of 'T-Cal: Understanding team conversation data with calendar-based visualization'. Together they form a unique fingerprint.

  • Cite this

    Fu, S., Zhao, J., Cheng, H. F., Zhu, H., & Marlow, J. (2018). T-Cal: Understanding team conversation data with calendar-based visualization. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI [500] (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April). Association for Computing Machinery. https://doi.org/10.1145/3173574.3174074