As scientists seek to develop machines that can "learn," that is, solve problems by imitating the human brain, a gold mine of information on the processes of human learning is being discovered, expert systems are being improved, and human-machine interactions are being enhanced. (SK)

Presents evidence to show that the body plays a continuing and fundamental part in the process of thinking and the development of the knowledge used to think. Topics discussed include knowledge structures and representations; artificial intelligence; feeling; learning processes; models of knowledge; information retrieval; and implications for…

This report incorporates a literature review, a workshop paper, and discussion by workshop participants on the current status of research on what the users of computer systems know, and how these different forms of knowledge fit together in learning and performance. It is noted that such research is important to the problem of designing systems…

Different people have a diversity of needs and expectations when approaching an information retrieval system, and providing people with the ease and efficiency to access information is important when designing systems. By examining the man-machine interface from the cognitive viewpoint, it is possible to investigate how a person interacts with an…

Interacting cognitive subsystems (ICS) is proposed as a unified cognitive theory that can be used as the basis for representations in human-computer interaction, and two approaches based on the theory are described: one entails the description of cognitive task models, and the other entails the production of less complete diagrammatic notations.…

This study of 40 undergraduates examined whether aiding as cognitive support (i.e., offering computer users knowledge they are missing) can supplement lack of knowledge and capacity under tasks with high mental loading, such as dealing with irregularities in process control. Users of a railway traffic control simulator dealt better and faster with…

Research in human-computer interaction is evolving a user-centered methodology for system design and instruction that focuses on integrating affective and cognitive user variables to increase productivity, creativity, and human growth. Discussion includes the survey approach, the experimental-ethnographic approach; theory-building; and the future…

Discussion of navigation through virtual information environments focuses on the need for robust user models that take into account individual differences. Considers Pask's information processing styles and strategies; deep (transformational) and surface (reproductive) learning; field dependence/independence; divergent/convergent thinking;…