1996 年 11 巻 2 号 p. 321-329
This paper describes a computational cognitive model of display-based human-computer interaction based on Norman's action theory. The model consists of goals, stages of evaluation, and stages of execution; in the former, the processes of generating display representation and its elaboration are included, and in the latter, the processes of selecting candidate objects for a next action and selecting an action-object pair are assumed. Execution of these processes is modeled with a symbolic-connectionist theory of adaptive expertise, the construction-integration theory of text comprehension, proposed by Kintsch (1988). The theory is contrasted with a family of theories for routine expertise, which characterizes quick and accurate problem solving behavior for familiar types of problems. However, it has only modest capabilities in dealing with novel types of problems. This paper starts with a claim that the display-based HCI requires adaptive expertise, in which an example task in the HCI domain is used for illustration. A brief explanation of the model of display-based HCI follows. The model has a distinctive feature that it can produce erroneous actions as well as correct actions even if the model is provided with sufficient knowledge for selecting correct actions and without assuming built-in knowledge for committing errors. The paper describes that it is due to the cognitive architecture, the construction-integration theory, assumed to execute the action selection processes.