Cooperative Interfaces To Information Systems
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Cooperative Interfaces to Information Systems
Author: Leonard Bolc
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Information systems are large repositories of factual and inferential knowledge intended to be queried and maintained by a wide variety of users with different backgrounds and work tasks. The community of potential information system users is growing rapidly with advances in hardware and software technology that permit computer/communications support for more and more application areas. Unfortunately, it is often felt that progress in user interface technology has not quite matched that of other areas. Technical solutions such as computer graphics, natural language processing, or man-machine-man communications in office systems are not enough by themselves. They should be complemented by system features that ensure cooperative behavior of the interfaces, thus reducing the training and usage effort required for successful interaction. In analogy to a human dialog partner, we call an interface cooperative if it does not just accept user requests passively or answer them literally, but actively attempts to understand the users' intentions and to help them solve their applica tion problems. This leads to the central question addressed by this book: What makes an information systems interface cooperative, and how do we provide capabilities leading to cooperative interfaces? Many answers are possible. A first aspect concerns the formulation and accep tance of user requests. Many researchers assume that such requests should be formulated in natural language.
CSCW and Artificial Intelligence
Author: John H. Connolly
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Computing, despite the relative brevity of its history, has already evolved into a subject in which a fairly large number of subdisciplines can be identified. Moreover, there has been a noticeable tendency for the different branches of the subject each to develop its own intellectual culture, tradition and momentum. This is not, of course, to suggest that any individ ual subdiscipline has become a watertight compartment or that developments in one branch of the subject have tended to take place in total isolation from developments in other related areas. Nevertheless, it does mean that a deliberate effort is required in order to bring different subdisciplines together in a fruitful and beneficial manner. Artificial Intelligence (AI) and Computer Supported Coopera tive Work (CSCW) jointly constitute a good example of two branches of computing that have emerged separately and given rise to largely distinct research communities and initiatives. On the one hand, the history of AI can be traced back to the 1950s, the term II Artificial Intelligence" being generally attributed to John McCarthy, who first used it in print in 1956. "Computer Supported Cooperative Work", on the other hand, is a term of more recent coinage, having'been devised by Irene Greif and Paul Cashman in 1984.
Human-Machine Interface for Intelligent Vehicles
Human-Machine Interface for Intelligent Vehicles: Design Methodology and Cognitive Evaluation examines the fields of designing and developing intelligent design and intelligent vehicle driving evaluation by using virtual reality, augmented reality, and other technologies. The book explains the methodologies and systems of interactive design, user evaluation and testing using virtual reality technology and augmented reality technology in intelligent cockpit design. With the rising prominence of electric vehicles and automatic driving (assisted) technology, intelligent vehicles are becoming a reality.Compared to traditional interactive design, artificial intelligence provides new opportunities and challenges for the interactive design of intelligent cockpit space, especially under the condition of intelligent assisted driving, the driver's behavior performance, multimodal interactive display interface design and evaluation. - Focuses on the interactive design methods of intelligent vehicles, as well as forward-looking design and testing methods of intelligent vehicle design - Emphasizes that interactive design should be carried out using the relevant elements of intelligent system in the design of intelligent cars: starting from the interactive characteristics of intelligence itself - Starts from AI interactive design and combines the field of cognitive science to develop the methods and technologies of vehicle borne equipment and collaborative human-computer interaction design - Includes design cases from the intelligent car interaction design laboratory of Tongji University and related scientific research projects in China.