What Principles of Multimedia Learning Do Language Instructional Designers Need to Know?

One of the trends in educational technology is multimedia. Instructional material designers or developers often ignore the principles of learning with multimedia in the creation of learning materials. Therefore, the aim of the given paper is to discuss the principles of multimedia learning material design to help students learn better. This includes Dual Coding Theory (DTC), Cognitive Load Theory (CLT), and Mayer‘s principles of multimedia design

The direction of technical change in AI and the trajectory effects of government funding

Government funding of innovation can have a significant impact not only on the rate of technical change, but also on its direction. In this paper, we examine the role that government grants and government departments played in the development of artificial intelligence (AI), an emergent general purpose technology with the potential to revolutionize many aspects of the economy and society. We analyze all AI patents filed at the US Patent and Trademark Office and develop network measures that capture each patent’s influence on all possible sequences of follow-on innovation. By identifying the effect of patents on technological trajectories, we are able to account for the long-term cumulative impact of new knowledge that is not captured by standard patent citation measures. We show that patents funded by government grants, but above all patents filed by federal agencies and state departments, profoundly influenced the development of AI. These long-term effects were especially significant in early phases, and weakened over time as private incentives took over. These results are robust to alternative specifications and controlling for endogeneity

Cross-correlation based performance measures for characterizing the influence of in-vehicle interfaces on driving and cognitive workload

Driving is a cognitively loading task which requires drivers\u27 full attention and coordination of both mind and body. However, drivers often engage in side activities which can negatively impact safety. A typical approach for analyzing the influences of side activities on driving is to conduct experiments in which various driving performance measures are collected, such as steering wheel angle and lane position. Those measures are then transformed, typically using means and variances, before being analyzed statistically. However, the problem is that those transformations perform averaging of the acquired data, which can result in missing short, but important events (such as glances directed off-road). As a consequence, statistically significant differences may not be observed between the tested conditions. Nevertheless, just because the influences of in-vehicle interactions do not show in the averages, it does not mean that they do not exist or should be neglected, especially if the nature of the interactions is such that they can be performed frequently (for example, with an infotainment system). This can create a false conclusion about the lack of influence of the tested side activity on driving. The main contribution of this research is in developing two new performance measures inspired by the mathematical function of cross-correlation: one which evaluates the cumulative effect and the other which evaluates the effects of individual instances of in-vehicle interactions on driving and cognitive load. The results from three driving simulator studies demonstrate that our cumulative measure provides more sensitivity to the effects of in-vehicle interactions, even when they are not detected through average-based measures. Additionally, our instance-based measure provides a low-level insight into the nature of the influence of individual in-vehicle interactions. Both measures produce results that can be ranked, which allows determining the relative size of the effect that various in-vehicle interactions have on driving. Finally, we demonstrate a set of variables which can be used for predicting the cumulative and instance-based results. This predictive ability is important, because it may allow obtaining quick simulation results without performing actual experiments, which can be used in the early stages of an interface or experiment design process

Real-time audiovisual speech capture and motion tracking for speech-driven facial animation

Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to [email protected], referencing the URI of the item.Includes bibliographical references (leaves 21-22).Currently, some methods for implementing facial animation systems are based on a direct subphonemic mapping of speech acoustics onto orofacial motion. Although these systems provide all of the necessary components for the detection of facial movements through speech patterns, they are limited by their storage requirements and high-priced equipment. Furthermore, the audiovisual processing can be delayed, taking place after the initial capture and transfer of all required audio and video. The method described in this work focuses on developing a system aimed at achieving realistic facial animations in real-time, incorporating synchronized capture of both audio and facial motions. With data processing taking place at run-time, the system saves only crucial information to file, providing additional storage for larger amounts of data. Results confirm the efficiency of this approach, which provides a fast, accurate and inexpensive tool for speech-driven facial animation

Aerospace medicine and biology. A continuing bibliography with indexes, supplement 195

This bibliography lists 148 reports, articles, and other documents introduced into the NASA scientific and technical information system in June 1979

Aerospace medicine and biology: A continuing bibliography with indexes, supplement 164

This bibliography lists 275 reports, articles, and other documents introduced into the NASA scientific and technical information system in January 1977

Digital Image Access & Retrieval

The 33th Annual Clinic on Library Applications of Data Processing, held at the University of Illinois at Urbana-Champaign in March of 1996, addressed the theme of "Digital Image Access & Retrieval." The papers from this conference cover a wide range of topics concerning digital imaging technology for visual resource collections. Papers covered three general areas: (1) systems, planning, and implementation; (2) automatic and semi-automatic indexing; and (3) preservation with the bulk of the conference focusing on indexing and retrieval.published or submitted for publicatio

Wireless Personal Area Network-Based Assistance for the Visually Impaired

In this dissertation, a system allowing a visually impaired person to interact with his environment is developed using modern, low-power wireless communications techniques. With recent advances in wireless sensor networks, open-source operating systems, and embedded processing technology, low-cost devices have become practically feasible as a personal notification system for impaired people. Additionally, text-to-speech capabilities can now be employed without special application specific integrated circuits (ASICs), allowing low-cost, general-purpose processors to fill a niche that once required expensive semiconductors. The system takes advantage of 802.15.4 and media access control (MAC) protocols offered by the open source operating system TinyOS. Important characteristics of these new standards that make them ideal for interface with humans are short range, low- power, and open-source software. To facilitate research and development in use and integration of such devices, we developed a hardware platform to allow exploration of possible future network architectures with multiple options for interfacing with the user. Our Visually Impaired Notification System (VINS) allows unprecedented awareness of the environment and has been simulated with multiple nodes using a modification of the TinyOS Dissemination protocol. This dissertation outlines the hardware platform, demonstration of a working prototype, and simulations of how the system would work in its intended environment. We envision this system being used as a testbed allowing further research of other communications and message-delivery techniques. Additionally, the research has contributed directly to the TinyOS project and offered new insight into power management in embedded systems. Finally, through the research effort we were able to contribute to the open source movement and have produced software in four languages used in three countries with over 1500 downloads

Gaze, behavioral, and clinical data for phantom limbs after hand amputation from 15 amputees and 29 controls

Despite recent advances in prosthetics, many upper limb amputees still use prostheses with some reluctance. They often do not feel able to incorporate the artificial hand into their bodily self. Furthermore, prosthesis fitting is not usually tailored to accommodate the characteristics of an individual's phantom limb sensations. These are experienced by almost all persons with an acquired amputation and comprise the motor and postural properties of the lost limb. This article presents and validates a multimodal dataset including an extensive qualitative and quantitative assessment of phantom limb sensations in 15 transradial amputees, surface electromyography and accelerometry data of the forearm, and measurements of gaze behavior during exercises requiring pointing or repositioning of the forearm and the phantom hand. The data also include acquisitions from 29 able-bodied participants, matched for gender and age. Special emphasis was given to tracking the visuo-motor coupling between eye-hand/eye-phantom during these exercises