Taemie Kim

Meeting mediator: enhancing group collaboration with sociometric feedback

In this paper we present the Meeting Mediator (MM), a real-time, personal, and portable system providing feedback to enhance group collaboration. Social interactions are captured using Sociometric badges [6] and are visualized on mobile phones to promote change in behavior. In a study on brainstorming and problem-solving meetings, MM had a significant effect on overlapping speaking time and interactivity level without distracting the subjects. Our system encourages effective group dynamics that may lead to higher performance and satisfaction. We envision MM to be deployed in real-world organizations to improve interactions across various group collaboration contexts.

Reflecting on the DARPA Red Balloon Challenge

Finding 10 balloons across the U.S. illustrates how the Internet has changed the way we solve highly distributed problems.

Mischief: supporting remote teaching in developing regions

Mischief is a system to support traditional classroom practices between a remote instructor and a group of collocated students. Meant for developing regions, each student in the classroom is given a mouse and these are connected to a single machine and shared display. We present observations of teaching practices in rural Chinese classrooms that led to Mischiefs design. Mischiefs user interface, with which scores of collocated students can interact simultaneously, supports anonymous responses, communicates focus of attention, and maintains the role of the instructor. Mischief is an extensible platform in which Microsoft PowerPoint slides, used commonly in developing regions, are made interactive. We setup a controlled environment where Mischief was used by classrooms of children with a remote math instructor. The results from the study provided insight into the usability and capacity of the system to support traditional classroom interactions. These observations were also the impetus for a redesign of several components of Mischief and are also presented. These findings contribute both a novel system for synchronous distance education in an affordable manner and design insights for creators of related systems.

Productivity Through Coffee Breaks: Changing Social Networks by Changing Break Structure

In this paper we present a two-phase study undertaken to experimentally study in a real world setting the effects of social group strength and how to increase the strength of groups in the workplace. In the first phase of our study we measured interactions between workers at the call center of a large bank based in the United States using Sociometric Badges. We confirmed our hypothesis that the strength of an individual’s social group was positively related to productivity (average call handle time) for the employees that we studied. In the second phase of our study we show that by giving employees breaks at the same time we increased the strength of an individual’s social groups, demonstrating that low-cost management decisions can be used to act on these results.

Organizational Engineering Using Sociometric Badges

We show how a wearable computing research platform for measuring and analyzing human behavior can be used to understand social systems. Using a wearable sociometric badge capable of automatically measuring the amount of face-to-face interaction, physical proximity to other people, and relative location, we are able to construct a dynamic view of an organizations social network by viewing interactions as links between actors. Combining this with email data, where e-mail exchanges indicate a social tie, we are able to form a robust view of the social network, using proximity information to remove spurious e-mail exchanges. We attempt to use on-body sensors in large groups of people for extended periods of time in naturalistic settings for the purpose of identifying, measuring, and quantifying social interactions, information flow, and organizational dynamics. We discuss how this system can lead to an automatic intervention system that could optimize the social network in real time by facilitating the addition and removal of links based on objective metrics in a socially natural way. We deployed this research platform in a group of 22 employees working in a real organization over a period of one month, and we found that betweenness in the combined social network had a high negative correlation of r = −0.49 (p

Sensible Organizations: Changing Our Businesses and Work Styles through Sensor Data

We introduce the concept of sensor-based applications for the daily business settings of organizations and their individual workers. Wearable sensor devices were developed and deployed in a real organization, a bank, for a month in order to study the effectiveness and potential of using sensors at the organizational level. It was found that patterns of physical interaction changed dynamically while e-mail is more stable from day to day. Different patterns of behavior between people in different rooms and teams (p < 0.01), as well as correlations between communication and a workers subjective productivity, were also identified. By analyzing a fluctuation of network parameters, i.e., “betweenness centrality, ” it was also found that communication patterns of people are different: some people tend to communicate with the same people in regular frequency (which is hypothesized as a typical pattern of throughput-oriented jobs) while some others drastically changed their communication day by day (which is hypothesized as a pattern of creative jobs). Based on these hypotheses, a reorganization, such that people having similar characteristics work together, was proposed and implemented.

Studying Microscopic Peer-to-Peer Communication Patterns

This paper describes first results of an ongoing research effort using real time data collected by social badges to correlate temporal changes in social interaction patterns with performance of individual actors and groups. Towards that goal we analyzed social interaction among a team of employees at a bank in Germany, and developed a set of interventions for more efficient collaboration. In particular, we were able to identify typical meeting patterns, and to distinguish between creative and high-executing knowledge work based on the interaction pattern.

Awareness as an antidote to distance: making distributed groups cooperative and consistent

Sociometric feedback visualizes social signals among group members to increase their awareness of their communication patterns. We deployed the Meeting Mediator, a real-time sociometric feedback system to groups participating in two rounds of a social dilemma task: in one round, all members were co-located and in the other round, the members were geographically distributed. Laboratory results show that the sociometric feedback successfully increases the speaking time and the frequency of turn transitions of groups that are initially distributed and later co-located, and also leads to a higher cooperation rate, increasing the overall earnings of these groups. In addition, the sociometric feedback helps groups have a more consistent pattern of behavior before and after a change in their geographic distribution. Therefore, the sociometric feedback influences the communication patterns of distributed groups and makes them more cooperative. Furthermore, the sociometric feedback helps groups sustain those patterns of communication even after a change in geographic distribution.

Sensor-Based Feedback Systems in Organizational Computing

Radical change is needed in todays organizations. While e-mail, instant messaging, wikis, prediction markets, and the like have proliferated across myriad sectors, the fundamental practice of management has failed to keep pace. Sensors can automatically measure social behavior occurring in physical space as well as the virtual world. Moreover sensor-based feedback is poised to help create the change necessary to improve performance and satisfaction of workers. In this paper we summarize previous work on sensor-based feedback systems and propose new systems at the individual, group, and organizational level. Our goal is to help direct future research towards these promising avenues.

Understanding Organizational Behavior with Wearable Sensing Technology

We describe how recent advances in wearable sensing technology allow for unprecedented accuracy in studies of human behavior, particularly organizational behavior. We use one such platform, the Sociometric badge, to understand organizational behavior in two studies. In the first, we describe the collection of data over a period of one month in a German banks marketing division. We found that physical proximity had a high negative correlation with e-mail activity, and by combining behavioral data and electronic communication data we were able to very accurately predict self-reports of personal and group interaction satisfaction and performance. Next we describe an experiment at a data server configuration firm, and we discovered behavioral variables that had extremely high correlations with objective productivity measures. In both studies the fine-grained behavioral variables measured by the Sociometric badge played a critical role in predicting outcomes.