Using visualizations to review a group's interaction dynamics

Abstract

We present a visualization system for reviewing the turn-taking patterns in a face-to-face meeting. Without the need to directly observe a group, a user can use the system to gain insight into the interaction dynamics of a meeting. We evaluated the visualizations by asking outside observers to make qualitative judgments about the individuals represented visually, and then compared their assessments to our own, made from direct observation of the meetings.Social psychologists suggest that one way a group can improve its interaction and consequently its productivity is by having a high-level understanding of its emotional and social interaction [4]. Furthermore, a group can gain insight into its interaction by viewing an aggregate report of its behavior [1]. We therefore postulate that an automated method for collecting

Seeing More: Visualizing Audio Cues

“…In later work, DiMicco compiled and examined Second Messenger, a suite of visualizations, for asynchronous review of a meeting [5] [7]. Having shown that live displays influence group participation, the suite explored more expressive visualizations.…”

Visualizing the Decision-Making Process in a Face-to-Face Meeting

“…It automatically provides feedback if students are speaking, making gestures, or moving in their seats. Second Messenger [2] is a visualization system that provides an automated method for reviewing the turntaking patterns in a face-to-face meeting so that even nonparticipants can gain insight into the group interaction dynamics. The system provides four different depictions for ongoing participation levels, turn-taking patterns, overlapped speech, and floor control by collecting spoken timestamps.…”

Privacy-sensitive recognition of group conversational context with sociometers

“…With the advent of ubiquitous and mobile sensing platforms, novel ways of collecting and visualizing group interaction behavior have been explored with the primary objective of influencing the group's behavior [8,26]. Such applications would greatly benefit from the knowledge of the interaction context, i.e., awareness of the interaction type, like a cooperative versus competitive interaction, or a brainstorming versus decisionmaking phase.…”