Adam Almozlino’s scientific contributions

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Publications (1)


Figure 1: RL visualized through oscillations in BC over time [17] This figure illustrates Rotating Leadership (RL) for two teams, one with high RL, and one with low RL. Actors are placed along the Y-axis, while the X-axis encodes time, and the Z-axis the Betweenness Centrality (BC) of actors for each hour, sorted, each hour, by the decreasing BC of actors. The back plane, which rises and falls, represents the set of actors who rotate taking the lead in the team’s communication. The left picture illustrates an example of a team with high RL. This example was drawn from a 6-day long graduate student seminar, and communications were measured using sociometric badges. This image includes 15 actors, and has had BC oscillation computed every hour using a time window of 12 hours, with a date range 6/13/2010 12:37 pm to 6/19/2010 23:37 pm. The right picture illustrates an example of a team with low RL. This example was drawn from the customers and employees of a large service provider serving one customer, and communications were measured using the email archive of the service provider. This image includes 2857 actors, and has had BC oscillation computed every day using a time window of 7 days, with a date range between 6/13/2012 to 12/30/2012. The high back represents the key account managers who are consistently taking the lead in team communication. 
Figure 2: RC visualizing though CI oscillations over time [17] This figure illustrates Rotating Contribution (RC) for two teams, one with high RC, and one with low RC. Actors are placed along the Y-axis, while the X-axis encodes time, and the Z-axis the Contribution Index (CI) of actors for each hour, sorted, each hour, by the decreasing CI of actors. The back plane, which rises and falls, represents the set of actors who rotate taking the lead as most vocal contributors. The left picture illustrates an example of a team with high RC; RC oscillates highly among time steps and the actors of the team. This example was drawn from a 6-day long graduate student seminar, and communications were measured using sociometric badges. This image includes 15 actors, and has had 
Measuring Team Creativity Through Longitudinal Social Signals
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July 2014

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329 Reads

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26 Citations

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Adam Almozlino

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Shannon Provost

Research into human dynamical systems has long sought to identify robust signals for human behavior. We have discovered a series of social network-based indicators that are reliable predictors of team creativity and collaborative innovation. We extract these signals from electronic records of interpersonal interactions, including e-mail, and face-to-face interaction measured via sociometric badges. The first of these signals is Rotating Leadership, measuring the degree to which, over time, actors in a team vary in how central they are to team's communication network's structure. The second is Rotating Contribution, which measures the degree to which, over time, actors in a team vary in the ratio of communications they distribute versus receive. The third is Prompt Response Time, which measures, over time, the responsiveness of actors to one another's communications. Finally, we demonstrate the predictive utility of these signals in a variety of contexts, showing them to be robust to various methods of evaluating innovation.

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Citations (1)


... Numerous studies in various domains have attempted to explain what makes groups work together effectively. Approaches in the area of human-computer interaction have focused on social signal processing to understand the impact of communication channels 2 and 3 on various team outcomes such as creativity [8] or performance [16]. However, previously published studies on the effect of social signals on team outcomes are not consistent, identifying various signals as potentially relevant. ...

Reference:

ViCon - Towards Understanding Visual Support Systems in Collaborative Video Conferencing
Measuring Team Creativity Through Longitudinal Social Signals