N-backer: An auditory n-back task with automatic scoring of spoken responses

An n-back task using vibrotactile stimulation with comparison to an auditory analogue.

We report a vibrotactile version of the common n-back task used to study working memory. Subjects wore vibrotactile stimulators on three fingers of one hand, and they responded by pressing a button with the other hand whenever the current finger matched the one stimulated n items back. Experiment 1 showed a steep decline in performance as n increased from 1 to 3; each additional level ofn decre...

N-Back auditory test performancein normal individuals

The working memory construct refers to the capacity to maintain information for a limited time. Objectives To devise stimuli and adapt the 5-back test and to verify the effect of age in normal Brazilian individuals. Methods 31 healthy adults (15 young adults and 16 older adults) were evaluated by batteries of auditory stimuli to verify the inter-group differences (age effect) in working mem...

Towards Automatic Scoring of a Test of Spoken Language with Heterogeneous Task Types

This paper describes a system aimed at automatically scoring two task types of high and medium-high linguistic entropy from a spoken English test with a total of six widely differing task types. We describe the speech recognizer used for this system and its acoustic model and language model adaptation; the speech features computed based on the recognition output; and finally the scoring models ...

Automatic detection of task-incompleted dialog for spoken dialog system based on dialog act n-gram

In this paper, we propose a method of detecting taskincompleted users for a spoken dialog system using an N-grambased dialog history model. We collected a large amount of spoken dialog data accompanied by usability evaluation scores by users in real environments. The database was made by a field test in which naive users used a client-server music retrieval system with a spoken dialog interface...

Novel n-back spatial working memory task using eye movement response Running title: n-back eye movement task