Purpose] We examined the improvement of hand function and activities of daily living in stroke patients after carrying out task-oriented training. [Subjects] Thirty-two patients who had been diagnosed with stroke and underwent rehabilitation therapy participated in the task-oriented training. [Methods] The participants carried out task-oriented training for 30 min per day for 4 weeks. Their han...

[Purpose] This study aimed to determine the effects of task-oriented training on upper extremity function and performance of daily activities in chronic stroke patients with impaired cognition. [Subjects and Methods] In this study, 2 chronic hemiplegic stroke patients underwent task-oriented training. The training was conducted once a day for 30 minutes, 5 times/week, for 2 weeks. The patients ...

We propose a model for dialogue between non task oriented agents, based on the dissonance and relevance theories. Non task oriented agents are studied as a model for non expert agents, as opposed to task oriented agents, in order to provide models for social science simulations. Dialogue between non task oriented agents can not be modelled like task oriented dialogue because no criterium is pro...

Speakers change the way they speak depending on the surrounding environment. When masking noise obstructs the communication channel between interlocutors, they consistently engage in Lombard speech, whose spectral characteristics are well described (e.g. [1, 2, 3]) and are believed to result in better intelligibility through energetic masking reduction (e.g. [4]). However, less is known about h...

Decades of research on human communication provides substantial evidence that human conversants in dialogue adjust their language to their conversational partner: conversants adapt to particular ways of referring to things (Brennan and Clark, 1996), mimic the partner’s lexical diversity (Coupland et al., 1988) and entrain to their vocabulary choices (Parent and Eskenazi, 2010). For example, for...

Search engines play an important role in our everyday lives by assisting us in finding the information we need. When we input a complex query, however, results are often far from satisfactory. In this work, we introduce a query reformulation system based on a neural network that rewrites a query to maximize the number of relevant documents returned. We train this neural network with reinforceme...

The rapid development of mobile devices has stimulated the popularity of spatial crowdsourcing. Various spatial crowdsourcing platforms, such as Uber, gMission and Gigwalk, are becoming increasingly important in our daily life. A core functionality of spatial crowdsourcing platforms is to allocate tasks or make plans for workers to efficiently finish the published tasks. However, existing studi...

The core element of traditional simulation is a fixed database which is overlaid by a traffic model. Despite obvious efficiency of simulator use, shortcomings must be seen in (1) imperfect reality and control, (2) fixed sequencing of scenarios which cannot be altered during simulation, and (3) missing of objective evaluation of drivers’ performance. Therefore, at the University of Wuerzburg a n...

Detecting emotions in the context of automated call center services can be helpful for following the evolution of the human-computer dialogs, enabling dynamic modification of the dialog strategies and influencing the final outcome. The emotion detection work reported here is a part of larger study aiming to model user behavior in real interactions. We make use of a corpus of real agent-client s...