A task analytic methodology for predicting ease of learning of interactive computer systems (TAMPEL)
Abstract
The purpose of this thesis is to provide user interface designers with a methodology for predicting ease of learning. The proposed methodology is based upon sound theories of human behavior and follows a task analytic approach. The analysis of the tasks that could be performed with the user interface under consideration is used to identify the different cognitive skills that a particular learner needs to acquire in order to be capable of a skillful performance. Ease of learning is measured by the learning time, which is modeled as a function of the identified cognitive skills and their relative complexities. The complexity of a given cognitive skill is estimated as a function of the type of the skill and the way the skill is retrieved from long term memory. A pilot study, designed to test the predictive power of the methodology, has shown promising results with respect to how well the methodology predicts ease of learning. A follow-on study designed to test the validity of the methodology has verified the methodology's assumptions.
Subject Area
Management|Computer science|Psychology
Recommended Citation
Khalifa, Mohamed, "A task analytic methodology for predicting ease of learning of interactive computer systems (TAMPEL)" (1991). Dissertations available from ProQuest. AAI9200354.
https://repository.upenn.edu/dissertations/AAI9200354