A GOMS-based granular computing model for human-computer interaction design
Jianchao Han · 2011
This paper is to propose to combine the granular computing into the cognitive model GOMS (Goals-Operators-Methods-Selection) to design the HCI (human-computer interactions/interfaces). The principles of GOMS and its related cognitive models are introduced, and granular computing as a problem-solving strategy is presented. The focus will be on the application of granular computing in the GMOS model, especially for the user's goals and operators granulation. The selection rules of the GOMS model can be utilized to search methods from the AND-OR tree generated by the granular computing. An example is illustrated to demonstrate how the combination of the GOMS model with granular computing works.