• Reducing Disruption from Subtle Information Delivery during a Conversation
  With proliferation of ubiquitous access to information, the question arises of how distracting processing information can be in social settings, especially during a face-to-face conversation. In this paper, we investigate how much information users can consume during a conversation and what information delivery mode, via audio or visual aids, helps them effectively conceal the fact that they are receiving information.
• [Big] Data Studies
  Data is all the buzz. It's being seen in everything and found everywhere. But what are the consequences of this vision of a data-rich world for those of us on the street; what impact if any does it have on our everyday experiences and with the things that matter most to us. Here, we aim to reflect on the rise of (big) data and investigate what it does mean for us, and what it could come to mean.
• Self Optimizing Collaborative Framework
  Two important performance metrics in collaborative systems are local and remote response times. These response times depend on three important factors: processing architecture, communication architecture, and scheduling of tasks dictated by these two architectures. We show that it is possible to create a system that improves response times by dynamically adjusting these three system parameters in response to changes to collaboration parameters.
• Avatar Videoconferencing For Work
  We conducted a study comparing avatar conferencing with video and audio conferencing for work scenarios. We studied nine four-person teams using a within-subjects design that measured users’ perceptions and preferences across the three conferencing conditions.

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