Intelligent Interface System Research Articles

Design and Development of Human Interface System with 3D Measurement Functions (Concept and Basic Experiments)

In this paper, an intelligent interface system for a wheelchair robot with an arm is described. The human interface system is comprised of an interface device and a signal processing module. An original idea of the authors, the interface device, which is a combination of a joystick, a Position Sensitive Detector (PSD), and a CCD camera, can realize threedimensional measurement in addition to performing the basic functions of a joystick. A principle for measuring three-dimensional positions and a method of presenting information by means of a Graphical User Interface (GUI) to verify and understand the instructions are proposed. To demonstrate the effectiveness of the intelligent operating system, a basic experiment is done.

Dual-Switchable Bioelectrocatalysis Synergistically Controlled by pH and Perchlorate Concentration Based on Poly(4-vinylpyridine) Films

Poly(4-vinylpyridine) (P4VP) films were electropolymerized on a pyrolytic graphite (PG) electrode surface. The cyclic voltammetric (CV) response of ferrocenedicarboxylic acid (Fc(COOH)(2)) at P4VP film electrodes was very sensitive to the pH and perchlorate (ClO(4)(-)) concentration in testing solutions. Fc(COOH)(2) was at the "on" state with a relatively large CV oxidation peak current for the films at pH 4.0 but showed the "off" state with significantly suppressed CV response at pH 7.0. The reversible ClO(4)(-) concentration-sensitive on-off property of P4VP films toward Fc(COOH)(2) at pH 4.0 was also observed. In particular, the influence of pH and ClO(4)(-) concentration on the on-off behavior of the system is not independent or separate but synergetic or cooperative, and the electrostatic interaction between the films and the probe plays a predominant role in deciding the pH- and/or ClO(4)(-) concentration-dependent behavior for the system. The dual-responsive property of the P4VP films toward Fc(COOH)(2) could also be used to control the bioelectrocatalysis of glucose by glucose oxidase. This synergetic-triggered bioelectrocatalysis on the basis of the intelligent interface system may establish a foundation for fabricating novel multiple factor-controllable biosensors based on enzymatic electrocatalysis.

Deep Fusion of Computational and Symbolic Intelligent Processing by Symbol Emergence

Through the development of the intelligent user interface system called THE RVI-desk, we found that it was indispensable to combine symbolic and computational processing in order to realize a software architecture for the next-generation intelligent user interface. Several early works toward the combination of symbolic and computational processing were briefly reviewed but the level of fusion is not deep, high and wide enough. Then two simple models, Model-A and Model-B, are described as the first step toward fusing computational and symbolic processing. Model-B is an extension of Model-A. Each of them consists of two layers. The lower layer is a neural network in which Q-learning is simulated. The inputs are state variables, and the outputs are Q-values for each action. It is tuned to update and store Q-table. The upper layer watches the activity in the lower layer to identify the group of nodes that are activated when some action in the lower layer obtains a high reward from the environment. In this way, new symbols emerge that are embedded in the lower layer to speed up learning. Model-B is extended to learn more complex concepts quickly. When an important concept is learned, the corresponding symbol is generalized and embedded in a different place at a lower level. Simulation demonstrated that symbol emergence and the forced application of these symbols in Q-learning greatly improves the performance of players playing a simple football game. This approach is a first step toward "deep fusion of computational and symbolic processing".

衝突回避における知識構造の推定 : 状況判断教師データを用いたデータマイニング

This paper deals with knowledge acquisition from ship operation data base to be used for ship collision avoidance. We used supervised training data that was obtained from an expert ship operator and developed for a circumstantial judgement neural network. We adopted a data mining approach, which has the advantage of finding hidden rules in the data base, and developed a new algorithm based on a linear search algorithm. We applied the new algorithm to the data base and extracted four kinds of meta-knowledge structures expressed in simple directed graphs, which can be used as a knowledge base for ship operation expert systems, intelligent interface systems, etc. The validity of these structures and possible future applications of the data mining approach to the ship operation data base are discussed.

Automated user modeling for intelligent interface

The analysis of the user behavior is one important function of the intelligent user interface because, by analyzing the user behavior, it becomes possible to understand the user intention and release the user from tedious tasks which are often required to use a fast but low-level interface. The acquisition of the user behavior model is crucial. Most studies meant to realize an intelligent interface system only analyze superficial user behaviors, from which to automate the repetitions. Their user models tend to be simple and do not reproduce the behavior well enough. This paper presents a new framework that analyzes the computational processes activated by the user commands to build the user behavior model. An important feature of the proposed framework is the analysis of data dependency between the user commands. A user-adaptive interface system, CHpBoard, was developed to show the adequacy of this framework. It analyzes the I/O relationship between applications in the past task history, selects the next application, and creates scripts which enable complex task execution by a single command.

Intelligent multimedia interfaces

On Monday, 15 July 1991, prior to the Ninth National Conference on Artificial Intelligence (AAAI-91) in Anaheim, California, over 50 scientists and engineers attended the AAAI-91 Workshop on Intelligent Multimedia Interfaces. The purpose of the workshop was threefold: (1) bring together researchers and practitioners to report on current advances in intelligent multimedia interface systems and their underlying theories, (2) foster scientific interchange among these individuals, and (3) evaluate current efforts and make recommendations for future investigations.

An intelligent simulation environment for production/distribution systems

Simulation as a powerful tool for analysis and design of systems can be brought directly to the control of the end users by means of intelligent interface systems. This would eliminate the need for hiring the services of simulation analysts and increases the speed of system analysis and design, thereby resulting in more timely information. This article presents a simulation environment for production/distribution domain in which natural language is used as the sole means of representing the system under simulation analysis.

An IEEE 488 interface for the VELA intelligent interface system

This paper describes the design of a GPIB interface for the VELA (Versatile Laboratory Aid) intelligent interface system. It includes a brief description of the VELA, and how it might be used in data capture and scientific experimental control, to provide a concurrent interface processing facility for computers which are able control GPIB based instrumentation systems.