user model Research Papers - Academia.edu (original) (raw)

We report on the reactions of males and female students to the presence of animated pedagogical agents that provided emotional and motivational support. One hundred high school students used agents embedded in an Intelligent Tutoring... more

We report on the reactions of males and female students to the presence of animated pedagogical agents that provided emotional and motivational support. One hundred high school students used agents embedded in an Intelligent Tutoring System for Mathematics and randomized controlled evaluations compared students with and without learning companions. The results indicate that affective pedagogical agents improve affective outcomes of students in general and particularly so for female students, who ...

Abstract. Inference and decision making with probabilistic user models may be infeasible on portable devices such as cell phones. We highlight the opportunity for storing and using precomputed inferences about ideal actions for future... more

Abstract. Inference and decision making with probabilistic user models may be infeasible on portable devices such as cell phones. We highlight the opportunity for storing and using precomputed inferences about ideal actions for future situations, based on offline learning and reasoning with the user models. As a motivating example, we focus on the use precomputation of call-handling policies for cell phones. The methods hinge on the learning of Bayesian user models for predicting whether users will attend meetings on their calendar and the cost of being interrupted by incoming calls should a meeting be attended. 1

Every student has individual features such as knowledge, goals, experiences, interests, backgrounds, personal traits, learning styles, learning activities, and study results. User model or learner model is constructed from these features.... more

Every student has individual features such as knowledge, goals, experiences, interests, backgrounds, personal traits, learning styles, learning activities, and study results. User model or learner model is constructed from these features. The process to build up learner model is called user modeling process or learner modeling process. Adaptive learning system uses learner model to make adaptation. In other words, adaptive learning system takes advantages individual information available in learner model in order to tailor learning materials (lessons, exercises, tests, etc.) and teaching methods to each student. Anyway, learner model is very important to adaptive learning system and other adaptive applications. This study report focuses on learner model, which is extracted from the master thesis of “User Modeling and User Profiling in Adaptive E-learning Systems” of author Christoph Fröschl. I express my deep gratitude to the author Christoph Fröschl for providing her/his great research.

Patient compliance is a significant problem and is strongly correlated with the patients' understanding of their condition and prescribed treatment. Since doctors typically do not have large amounts of time to educate patients, and... more

Patient compliance is a significant problem and is strongly correlated with the patients' understanding of their condition and prescribed treatment. Since doctors typically do not have large amounts of time to educate patients, and impersonal, voluminous patient handouts are largely ineffective, we propose the use of a sophisticated computer-based information system to generate tailored, interactive handouts to communicate with patients. Our system uses text planning and user modeling techniques to generate natural language descriptions of migraine, its symptoms, triggering factors and prescriptions. The system is capable of handling follow-up questions requesting further information, and generating responses in the context of previously supplied information--a capability unavailable in previous patient information systems. The system tailors its interaction to: (i) the class of migraine patients, (ii) the individual patient, and (iii) the previous dialogue. Preliminary evaluati...

The basic forms of random accessing problems encountered in designing computer communications networks are explored in terms of the Bernoulli finite user model. The problems are classified according to the available channel feedback... more

The basic forms of random accessing problems encountered in designing computer communications networks are explored in terms of the Bernoulli finite user model. The problems are classified according to the available channel feedback random variable values. Three feedbacks are possible: conflict/no conflict, something/nothing, and success/failure. Algorithms governing each condition are discussed, noting that the feedback can be interpreted in terms