Publications
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Predicting shoppers’ interest from social interactions using sociometric sensors
In this paper, we explore using sociometric data to study social behaviors of group shoppers.
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Using temporal patterns (T-Patterns) to derive stress factors of routine tasks
We describe the use of a statistical technique called T-pattern analysis to derive and characterize the routineness of tasks.
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So you know you’re getting the best possible information: a tool that increases Wikipedia credibility
An experiment was conducted to study how credibility judgments about Wikipedia are affected by providing users with an interactive visualization (WikiDashboard) of article and author editing history.
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Enzymatic assays for fragment-based screening using enthalpy arrays
In this talk we will discuss the application of enthalpy arrays to confirm and rank fragment hits based on their ligand efficiencies.
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Body and mind: a study of avatar personalization in three virtual worlds
In this paper, we report on a study investigating these issues through a questionnaire administered to more than a hundred users of three virtual worlds offering widely different avatar creation…
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Cases of online learning communities in a large enterprise
This position paper reports on our ongoing study of the deployment of nine online learning communities in a large enterprise, which we will call DocServices.
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An elementary social information foraging model
This paper reviews a variety of observed phenomena in social information foraging and sketches a framework extending Information Foraging Theory for making predictions about the effects of diversity, interference, and…
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TBL-improved non-deterministic segmentation and POS tagging for a Chinese parser
We present an experiment in improving the output of an off-the-shelf module that performs segmentation and tagging, the tokenizer-tagger from Beijing University (PKU).
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Human evaluation of a German surface realisation ranker
In this paper we present a human-based evaluation of surface realisation alternatives.
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Combining Discriminative Re-Ranking and Co-Training for Parsing Mandarin Speech Transcripts
In this paper, we present systematic investigations on combining discriminative re-ranking and co-training, including co-training re-ranked parsers and co-training re-rankers.
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Infrastructure Free 6 DOF Location and Pose Estimation for Mixed Reality Systems
Mixed reality training systems using Head Mounted Displays (HMDs) require very high precision knowledge of the 3D location and 3D orientation of the user's head.
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Using Mixed-Effects Modeling To Analyze Different Grain-Sized Skill Models In An Intelligent Tutoring System
Student modeling and cognitive diagnostic assessment are important issues that need to be addressed for the development and successful application of intelligent tutoring systems (ITS). ITS needs the construction of…