Corpus ID: 8936149

CHAPTER 25 : User Modeling

  title={CHAPTER 25 : User Modeling},
  author={Addie Johnson and Niels Anne Taatgen},
Towards Open Learner Models Including the Flow State
A functional and technical architecture (comprising a Domain Model, a Flow Model, and an Open Learner Model for MOOC in a Lifelong Learning context) accounting for the learner's Flow state is proposed.


Serial modules in parallel: the psychological refractory period and perfect time-sharing.
An integrated theory of cognition, perception, and action that consists of the ACT-R production system and a set of perceptual-motor modules and results from three PRP-like experiments indicate that cognitive processing for the 2 tasks need not overlap.
An Overview of the EPIC Architecture for Cognition and Performance With Application to Human-Computer Interaction
This work describes some of the models used to construct precise computational models for a variety of human-computer interaction situations and demonstrates how EPIC clarifies basic properties of human performance and provides usefully precise accounts of performance speed.
Is there an intelligent agent in your future? Nature
Imagine that you are lucky enough to find some free time in your schedule, a you decide to take a trip, and a travel agent recommends where you might go and once you confirm your needs, the agent generates the itinerary, books the flights and generally does all the that you don't want to bother with.
Direct manipulation vs. interface agents
Ben en Shneiderman and Pattie Maes debated where the future of interfaces should be headed—and why.
A model of the acquisition of menu knowledge by exploration
An integrated theory of the mind.
The perceptual-motor modules, the goal module, and the declarative memory module are presented as examples of specialized systems in ACT-R, which consists of multiple modules that are integrated to produce coherent cognition.
Machine Learning for User Modeling
This paper examines a number of challenges for machine learning that have hindered its application in user modeling, including the need for large data sets; theneed for labeled data; concept drift; and computational complexity.
Methods and techniques of adaptive hypermedia
This paper is a review of existing work on adaptive hypermedia and introduces several dimensions of classification of AH systems, methods and techniques and describes the most important of them.
User Modeling for Personalized City Tours
A user modeling server is described that offers services to personalized systems with regard to the analysis of user actions, the representation of assumptions about the user, and the inference of additional assumptions based on domain knowledge and characteristics of similar users.
User Modeling in Human–Computer Interaction
  • G. Fischer
  • Computer Science
    User Modeling and User-Adapted Interaction
  • 2004
The objectives, progress, and unfulfilled hopes that have occurred over the last ten years are reviewed, and some interesting computational environments and their underlying conceptual frameworks are illustrated.