This paper presents a unified model to perform language and speaker recognition simultaneously and altogether. The model is based on a multi-task recurrent neural network where the output of one task is fed as the input of the other, leading to a collaborative learning framework that can improve both language and speaker recognition by borrowing information from each other. Our experiments demo...

This study investigated the quality of metacognition at its inter-individual level, i.e., socially-shared metacognition, across two collaborative writing tasks of different difficulty levels among a cohort of Iranian EFL learners.  Moreover, it examined the correlation between the individual and the social modes of metacognition in writing.  The analysis of think-aloud protocols of a number of ...

This paper describes how to integrate tracking functions on a mobile robot. Tracking is required during autonomous robot navigation in different situations: landmark tracking to guarantee real-time robot localization, target tracking for a sensor based motion or obstacle tracking to control an obstacle avoidance procedure. These objects -landmarks, targets, and obstacleshave different character...

Recent research has established that successful collaborative modeling requires a more active role of domain experts in the modeling process. Yet, tool support for this endeavor is still lacking. Large touchscreens could serve as a platform for easy-to-use modeling tools that address this problem. However, these devices pose new challenges for interaction design – in particular because of paral...