• ASHA Assist
  This project focuses on rural government maternal health workers in India (called Accredited Social Health Activists, or ASHAs), using a tool called ASHA Assist to help ASHAs engage their clients in persuasive discussions about various topics related to maternal health. ASHA Assist consists of interactive videos on mobile phones, covering topics related to maternal health for use in counseling their clients.
• Spoken Language Understanding
  Spoken language understanding (SLU) is an emerging field in between the areas of speech processing and natural language processing. The term spoken language understanding has largely been coined for targeted understanding of human speech directed at machines. This project covers our research on SLU tasks such as domain detection, intent determination, and slot filling, using data-driven methods.
• 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.

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