• Publications
  • Influence
Predicting Depression via Social Media
TLDR
It is found that social media contains useful signals for characterizing the onset of depression in individuals, as measured through decrease in social activity, raised negative affect, highly clustered egonetworks, heightened relational and medicinal concerns, and greater expression of religious involvement.
A Bayesian Approach to Filtering Junk E-Mail
TLDR
This work examines methods for the automated construction of filters to eliminate such unwanted messages from a user’s mail stream, and shows the efficacy of such filters in a real world usage scenario, arguing that this technology is mature enough for deployment.
Principles of mixed-initiative user interfaces
Recent debate has centered on the relative promise of focusinguser-interface research on developing new metaphors and tools thatenhance users abilities to directly manipulate objects versusdirecting
The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users
TLDR
This work reviews work on Bayesian user models that can be employed to infer a user's needs by considering a users' background, actions, and queries and proposes an overall architecture for an intelligent user interface.
SearchTogether: an interface for collaborative web search
TLDR
This work introduces SearchTogether, a prototype that enables groups of remote users to synchronously or asynchronously collaborate when searching the Web, and discusses the ways SearchTogether facilitates collaboration by supporting awareness, division of labor, and persistence.
A diary study of task switching and interruptions
TLDR
A diary study of the activities of information workers aimed at characterizing how people interleave multiple tasks amidst interruptions revealed the type and complexity of activities performed, the nature of the interruptions experienced, and the difficulty of shifting among numerous tasks.
Guidelines for Human-AI Interaction
TLDR
This work proposes 18 generally applicable design guidelines for human-AI interaction that can serve as a resource to practitioners working on the design of applications and features that harness AI technologies, and to researchers interested in the further development of human- AI interaction design principles.
Planetary-scale views on a large instant-messaging network
TLDR
It is found that people tend to communicate more with each other when they have similar age, language, and location, and that cross-gender conversations are both more frequent and of longer duration than conversations with the same gender.
Personalizing search via automated analysis of interests and activities
TLDR
This research suggests that rich representations of the user and the corpus are important for personalization, but that it is possible to approximate these representations and provide efficient client-side algorithms for personalizing search.
Pairwise ranking aggregation in a crowdsourced setting
TLDR
This work proposes a new model to predict a gold-standard ranking that hinges on combining pairwise comparisons via crowdsourcing and formalizes this as an active learning strategy that incorporates an exploration-exploitation tradeoff and implements it using an efficient online Bayesian updating scheme.
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