The physical environment is becoming more and more saturated with computing and
communication entities that interact among themselves, as well as with users: virtually …

This paper addresses the problem of predicting the performance of decision-making groups.
Towards this goal, we evaluate the predictive power of group attributes and discussion …

We address the task of automatically predicting group satisfaction in meetings using
acoustic, lexical, and turn-taking features. Participant satisfaction is measured using post …

Big data offers a new frontier for psychological research. Although numerous articles and
books have considered the general value of big data, it is necessary to delineate further the …

This paper proposes an approach to develop models for predicting the performance for
multiple group meeting tasks, where the model has no clear correct answer. This paper …

In this paper, we investigate the links between the interaction among the group members
and team performance, as well as the group composition. Towards this goal, we extract …

Data themselves are neither good nor bad, as they can only be evaluated against a clearly
defined purpose–what is the data good for? This chapter discusses various methods of data …

In this paper, we describe a novel approach, based on Markov jump processes, to model
small group conversational dynamics and to predict small group performance. More …

Background: Investigating primary care provider (PCP)-team communication can provide
insight into how colleagues work together to become high-functioning teams more able to …

In-person instruction for professional development or other types of workplace training
provides a social environment and immediate feedback mechanisms that typically ensure all …