User Modeling for Multimedia Interfaces

1 Introduction.- 1.1 Multimedia Dialog Systems.- 1.2 The Presentation System PPP.- 1.3 Some Terminology.- 1.4 Focus and Goals of this Thesis.- 1.5 Overview of the Thesis.- 2 Comprehension in Multimedia Communication.- 2.1 Optimization of Mental Models.- 2.2 Relevant Factors for Comprehension.- 2.3 Two Modes of Comprehension.- 2.4 Comprehension of Text and Graphics.- 2.5 Comprehension of Technical Instructions.- 2.6 Conclusion.- 3 User Characteristics in Current Presentation Systems.- 3.1 Intelligent Multimedia Presentation Systems.- 3.2 Content Selection and Organization.- 3.3 Media Selection.- 3.4 Subcode selection.- 3.5 Generation of Referring Expressions.- 3.6 Layout.- 3.7 Conclusion.- 4 User Modeling: Representation and Inference.- 4.1 Purpose and Terminology.- 4.2 Dimensions of User Modeling.- 4.3 The Contents of the User Model.- 4.4 Acquisition of User Models.- 4.5 Exploitation of User Models.- 4.6 Representation and Inference.- 4.7 Conclusion.- 5 Modeling Decoding Problems.- 5.1 Representation of Inferences in Ppp.- 5.2 Partial Evaluations of Displays.- 5.3 Overall Evaluation of Displays.- 5.4 Feedback to Ppp.- 5.5 Implementation.- 5.6 Conclusion.- 6 Empirical Studies.- 6.1 Experiment I: Object Identification.- 6.2 Experiment II: Meaning Decoding.- 6.3 Conclusion.- 7 Achievements and Future Work.- 7.1 Scientific Contributions.- 7.2 Limitations.- 7.3 Possible Extensions.- 7.4 Application in Future Presentation Systems.- A Bayesian Networks: Belief Update and Belief Propagation.- A.1 Belief Update.- A.2 Belief Propagation.- A.2.1 Upward Propagation.- A.2.2 Downward Propagation.- B Example Network.- C Instructions Used in the Experiments.- C.1 Experiment I.- C.2 Experiment II.- D Materials Used in the Experiments.- D.1 Experiment I.- D.2 Experiment II.- E Scatterplots of Correlations.- References.