Visualization of Members' Activities in a Series of Group Works by Time-series Feature Comparison Method
Rikito Ohnishi, Ryotaro Okada, Yuki Murakami, Takafumi Nakanishi, Teru Ozawa, Yutaka Ogasawara, Kazuhiro Ohashi · 2023
This paper presents a method for visualizing members' activities in a series of multiple group work sessions with the same members each time, using a time-series feature comparison method. It is becoming increasingly important for organizations to produce deliverables through group work. However, inefficient activities owing to a lack of review of the group work itself, which is performed by the same members each time, have become a problem. If it is possible to capture and visualize who is talking about what and when in group work, it will be possible to reflect on the work and improve its efficiency of group work. In this study, we propose a method for cross-sectional visualization of the progress of group work for a series of group works conducted by the same members each time.