My research focus is human-computer interaction through spoken dialog systems. I'm also interested in human-based computation and I incorporate crowdsourcing in my research.
Scrawl.in enables neighbors to discuss via hyper-local message boards in the cloud. It's a personal project which is still in its very beta version, but you can already have a look at it.
Humans adapt to each others at various levels during a conversation. LexE investigates how this phenomenon transposes to human-computer interaction, and how to use it to provide better dialog systems.
VoIP-enabled spoken dialog system based on Olympus architecture. It will be handling a subset of calls to the City of Pittsburgh 311 line.
Toward Better Crowdsourced Transcription: Transcription of a Year of the Let's Go Bus Information System Data. SLT 2010. [PDF]
Lexical Entrainment of Real Users in the Let's Go Spoken Dialog System. Interspeech 2010. [PDF]
Clustering dictionary definitions using Amazon Mechanical Turk. NAACL/HLT 2010 MTurk workshop. [PDF]
Multimodal learning of words: A study on the use of speech synthesis to reinforce written text in L2 language learning. SLaTE 2010. [PDF]
Annotation d'expressions temporelles et d'événements en français. TALN2008. [PDF]