Accurate motor control is required when walking around obstacles in order to avoid collisions. When vision is unavailable, sensory substitution can be used to improve locomotion through the environment. Tactile sensory substitution devices (SSDs) are electronic travel aids, some of which indicate the distance of an obstacle using the rate of vibration of a transducer on the skin. We investigate...

Multi-task learning has increased in importance due to its superior performance by multiple different tasks simultaneously and ability perform several using a single model. In medical phenotyping, task labels are costly acquire might contain certain degree of label noise. This decreases the efficiency additional human as auxiliary when applying multi-task phenotyping. this work, we proposed an ...

The key cognitive impairments of children with attention deficit/-hyperactivity disorder (ADHD) include executive control functions such as inhibitory control, task-switching, and working memory (WM). In this training study we examined whether task-switching training leads to improvements in these functions. Twenty children with combined type ADHD and stable methylphenidate medication performed...

In this paper, we present an approach for building user interfaces (UI) for multiple platforms from a single task model representation. We use the Concurrent Task Tree (CTT) notation for the task model and the User Interface Markup Language (UIML) as the underlying implementation language for the user interfaces.

In the recent years, the field of Human-Computer Interaction (HCI) has greatly evolved to involve new and exciting interaction paradigms that allow users to interact with their environment and with technology in a more intuitive and ergonomic way. These interaction paradigms include voice, touch, virtual reality, and more recently, the brain. A brain-computer interface (BCI) is a an interface s...

The mapping of application functionality onto multiple multithreaded processing elements of a high performance embedded system is currently a slow and arduous task for application developers. Previous attempts at automation have either ignored hardware support for multithreading and focused on scheduling, or have overlooked the architectural peculiarities of these systems. This work attempts to...

Partially Observable Markov Decision Processes (POMDPs) have been applied extensively to planning in environments where knowledge of an underlying process is confounded by unknown factors[3, 4, 7]. By applying the POMDP architecture to a basic recognition task, we introduce a novel pattern recognizer that operates under partially observable conditions. This Single Action Partially Observable Ma...

We present results for an identical setup as reported in Section 5.1, with the only difference being that the test functions have been sampled from a GP with rational quadratic kernel with length scale l = 0.1 and scale mixture α = 1.0. The kernel used in the GP surrogate model is not modified, i.e., an RBF kernel with length scale l = 0.1 is used. Thus, since different kind of kernel govern te...

We present a task-independent learning procedure which produces gradual performance improvement through experience on a perceptual-motor ask. It utilizes a data structure that represents a strategy for performing the task. This learning procedure is a direct result of the constraints that occur when realistic perceptual and motor mechanisms (EPIC) are mated to a learning cognitive modeling arch...