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MeetingVis: Visual Narratives to Assist in Recalling Meeting Context and Content
- Source :
- IEEE transactions on visualization and computer graphics. 24(6)
- Publication Year :
- 2018
-
Abstract
- In team-based workplaces, reviewing and reflecting on the content from a previously held meeting can lead to better planning and preparation. However, ineffective meeting summaries can impair this process, especially when participants have difficulty remembering what was said and what its context was. To assist with this process, we introduce MeetingVis, a visual narrative-based approach to meeting summarization. MeetingVis is composed of two primary components: (1) a data pipeline that processes the spoken audio from a group discussion, and (2) a visual-based interface that efficiently displays the summarized content. To design MeetingVis, we create a taxonomy of relevant meeting data points, identifying salient elements to promote recall and reflection. These are mapped to an augmented storyline visualization, which combines the display of participant activities, topic evolutions, and task assignments. For evaluation, we conduct a qualitative user study with five groups. Feedback from the study indicates that MeetingVis effectively triggers the recall of subtle details from prior meetings: all study participants were able to remember new details, points, and tasks compared to an unaided, memory-only baseline. This visual-based approaches can also potentially enhance the productivity of both individuals and the whole team.
- Subjects :
- business.industry
Computer science
05 social sciences
020207 software engineering
Context (language use)
02 engineering and technology
Computer Graphics and Computer-Aided Design
Automatic summarization
Visualization
Task (project management)
Information visualization
Data visualization
Human–computer interaction
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
Task analysis
0501 psychology and cognitive sciences
Narrative
Computer Vision and Pattern Recognition
business
050107 human factors
Software
Subjects
Details
- ISSN :
- 19410506
- Volume :
- 24
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on visualization and computer graphics
- Accession number :
- edsair.doi.dedup.....c7dde04a945974a2e63dbd7f1958d87a