The present report outlines differences between multimodal and unimodal communication patterns in linguistic features associated with ease of dialogue tracking and ambiguity resolution. A simulation method was used to...
详细信息
The human-computerinteraction Laboratory (HCIL) of the University of Maryland and NASA have collaborated over three years to refine and apply user interface research concepts developed at HCIL in order to improve the...
详细信息
We discuss a two-handed user interface designed to support three-dimensional neurosurgical visualization. By itself, this system is a “point design,” an example of an advanced user interface technique. In this work,...
详细信息
Gesture and speech are two very important behaviors for virtual humans. They are not isolated from each other but generally employed simultaneously in the service of the same intention. An underlying PaT-Net parallel ...
详细信息
Gesture and speech are two very important behaviors for virtual humans. They are not isolated from each other but generally employed simultaneously in the service of the same intention. An underlying PaT-Net parallel finite state machine may be used to coordinate them both. Gesture selection is not arbitrary. Typical movements correlated with specific textual elements are used to select and produce gesticulation online. This enhances the expressiveness of speaking virtual humans.
Presents a method for the generation of real-time dynamic autonomous agents in game environments. The method is based on the use of dynamical systems theory which allows us to express intelligent behaviors using syste...
详细信息
Presents a method for the generation of real-time dynamic autonomous agents in game environments. The method is based on the use of dynamical systems theory which allows us to express intelligent behaviors using systems of differential equations. These differential equations operate at two distinct levels. At one level, the differential equations governing movement comprise a carefully designed set of attractor-repeller fields. At a second level, behavior selection is modeled using a competition dynamics that determines the relevant contributions to the movement dynamics at each time instant. Thus, our autonomous agents are capable of exhibiting useful behaviors in complex environments. Using this approach, we are able to demonstrate, in real time, behaviors such as single and multiple target tracking with both stationary and moving obstacles.
This paper describes extensions and improvements to IBM's large vocabulary continuous speech recognition (LVCSR) system for transcription of broadcast news. The recognizer uses an additional 35 hours of training d...
详细信息
This paper describes extensions and improvements to IBM's large vocabulary continuous speech recognition (LVCSR) system for transcription of broadcast news. The recognizer uses an additional 35 hours of training data over the one used in the 1996 Hub4 evaluation. It includes a number of new features: optimal feature space for acoustic modeling (in training and/or testing), filler-word modeling, Bayesian information criterion (BIC) based segment clustering, an improved implementation of iterative MLLR and 4-gram language models. Results using the 1996 DARPA Hub4 evaluation data set are presented.
This paper presents cognitive studies and analyses relating to how augmented reality (AR) interacts with human abilities in order to benefit manufacturing and maintenance tasks. A specific set of applications is descr...
详细信息
This paper presents cognitive studies and analyses relating to how augmented reality (AR) interacts with human abilities in order to benefit manufacturing and maintenance tasks. A specific set of applications is described in detail, as well as a prototype system and the software library that it is built upon. An integrated view of information flow to support AR is also presented, along with a proposal for an AR media language (ARML) that could provide interoperability between various AR implementations.
This paper presents a strategy of motor learning that acquires an internal model of the arm by using adjustable parameters for arm movement. This strategy gradually adjusts the parameters, such as the speed of an arm ...
详细信息
This paper presents a strategy of motor learning that acquires an internal model of the arm by using adjustable parameters for arm movement. This strategy gradually adjusts the parameters, such as the speed of an arm movement and the viscoelastic property values of the arm in the learning process. Learning control based on such a strategy eliminates a few weak points in many types of learning control models which have been proposed in the last decade. We will ascertain the efficiency of the proposed strategy by computer simulation using a mathematical model of the human arm.
We present a detailed case study of a computer scientist learning and using the Cognitive Walkthrough (CW) technique to assess a multimedia authoring tool. We then compare the predictions produced by the analysis to t...
暂无评论