Digital pen signals were shown to be predictive for cognitive states, cognitive load and emotion in educational settings. We investigate whether low-level pen-based features can predict the difficulty of tasks in a cognitive test and the learner’s performance in these tasks, which is inherently related to cognitive load, without a semantic content analysis.
References
- Digital Pen Features Predict Task Difficulty and User Performance of Cognitive Tests. In: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, pp. 10, ACM, Forthcoming.
