We examine how diversity affects teams' output in the creative uses task. Diversity among team members' experience or knowledge leads to greater output; however, over observable characteristics has no measurable impact. Surprisingly, we find correlation between experiential and our sample. propose that organizations can benefit by also emphasizing when constructing policy foster effective teams.

This paper describes a prototype of a simulaled physics student that learns by interacting with a human tutor. The system solves physics problems while showing its work on a work· station screen, and the tutor can intervene at cenain points during problem·solving to advise the simulaled studenL This prototype constitutes an initial cognitive task analysis of the skill of learning from a tutor, ...

This chapter focuses on the amount of pragmatics practice needed for promoting accurate and speedy recognition and production of requestmaking forms in L2 Chinese. Over four consecutive days, an input group (n=17) and an output group (n=17) practiced using target request-making forms via computerized input-based and output-based practice activities, respectively. Meanwhile, a control group (n=1...

For cellular software radio receivers, this paper presents a computationally efficient algorithm for extracting individual radio channels from the output of the wideband A/D converter. In a software radio, the extraction of individual channels from the output of the wideband A/D converter is by far the most computationally demanding task; hence, it is very important to devise computationally ef...

In the first step of drug discovery process, a large number of lead compounds are found by high throughput screening. To identify physicochemical properties of the lead compounds, SAR and QSAR analyses are commonly applied (Gasteiger & Engel, 2003). In machine learning terminology, SAR is understood as a classification task where a chemical compound is given as an input, and the learning machin...

This paper documents the systems developed by LIMSI for the IWSLT 2014 speech translation task (English→French). The main objective of this participation was twofold: adapting different components of the ASR baseline system to the peculiarities of TED talks and improving the machine translation quality on the automatic speech recognition output data. For the latter task, various techniques have...

Speed Up Robust Feature (SURF) and Local Contour Sequence(LCS) are methods used for feature extraction techniques for dynamic gesture recognition. A problem presented by these techniques is the large amount of data in the output vector which difficult the classification task. This paper presents a novel method for dimensionality reduction of the features extracted by SURF and LCS, called Convex...

In this paper we present the results from a pilot study undertaken with translation students to compare community forum content post-editing performance based on suggestions from different translation systems. Output from both Translation Memory (TM) and Statistical Machine Translation (SMT) was presented to participants in the ACCEPT online postediting environment, where they needed to perform...

The apparent difficulty that humans experience when asked to manage dynamic complexity might be related to their inability to discriminate among familiar classes of objects (i.e., flawed recognition). In this study we examined the change in individuals’ recognition ability, as measured by the change in the similarity of decisions they made when confronted repeatedly with consistent dynamic situ...