The right temporoparietal junction (R TPJ) is involved in stimulus-driven attentional control in response to the appearance of an unexpected target or a distractor that shares features with a task-relevant target. An unresolved question is whether these responses in R TPJ are due simply to the presence of a stimulus that is a potential target, or instead responds to any task-relevant informatio...

This paper describes the work of the Information Retrieval Lab at the University of Delaware (team name “udel”) on TREC 2014 tracks. We participated in five different tracks: Contextual Suggestion, Federated Web, Microblog, Session, and Web.

We introduce a method for content-based advertisement selection for personal blog pages, based on combining multiple representations of the blog. The core idea behind the method is that personal blogs represent individuals, whose interests can be modeled by the language used in the blog itself combined with the language used in related sources of information, such as comments posted to a blog p...

Fictional information presents a unique challenge to the developing child. Children must learn when it is appropriate to transfer information from the fictional space to the real world and what contextual cues should be considered in this decision. The current research explores children’s causal inferences between fictional representations and reality by examining their developing sensitivity t...

For the scale of data in process keep increasing, data provenance also becomes large and constantly growing, which brings challenges to the efficiency of provenance tracking in process analysis. This paper proposes a kind of dependency view to extract a global data provenance description of the data process instance, and then defines a contextual query language based on dependency view to imple...

The continuing shortage of IT professionals is a global problem and is exacerbated by the lack of women, representing nearly half the potential workforce, who are attracted to the industry. This paper contributes to the growing body of literature by examining the perspectives and experiences of both male and female IT professionals in New Zealand. Using a narrative inquiry methodology the study...

A computational model of learning in visual attention is described, and it is shown how it can integrate information over time to form a representation of the visual context. This visual context is subsequently used to guide the focus of attention in a visual search task. Computer simulations shows that the model can learn to use contextual cues when they are available. The performance using co...

Recently, the field of automatic recognition of users’ affective states has gained a great deal of attention. Automatic, implicit recognition of affective states has many applications, ranging from personalized content recommendation to automatic tutoring systems. In this work, we present some promising results of our research in classification of emotions induced by watching music videos. We s...

A rarely discussed but important issue in research on pragmatic inference is the choice of dependent measure for estimating the robustness of pragmatic inferences and their sensitivity to contextual manipulations. Here we present the results from three studies exploring the effect of contextual manipulations on scalar implicature. In all three studies we manipulate the salient question under di...

Contextual suggestion aims to provide a user with venues that are relevant to his/her preferences and context. Most existing approaches only take into account those two features in order to build their suggestion list. However, research in recommender systems recently stressed the importance of diversified suggestions. This paper introduces a novel model for contextual suggestion based on compo...