Human–Computer Interaction (HCI) is the current challenging issue of research and information technology. The areas of recent research like Usability Engineering, Cognitive Architectures, Spoken Dialogue System and Recommender Systems are covered in the book. Besides, the new dimensions of HCI, such as Ontological Engineering, Ambient Intelligence and Ubiquitous Computing are also introduced. Design methodologies of Spoken Dialogue System and the corresponding mathematic models are also presented, whereas the main emphasis is given on the simple presentation and making the cognition process easier for the learners. The book is an invaluable tool for the undergraduate and postgraduate students of computer science and engineering, and information technology. In addition, it is of immense value for the postgraduate students of computer application. Besides, researchers will be benefitted from Chapter 3 (Modelling of Understanding Process) and Chapter 5 (Recommender Systems) as these are based on the review of cognitive architectures and ontological tools. Software engineers will find the book useful especially for the contents of Chapter 2 (Usability Engineering). Technology innovators will appreciate Chapter 7 (Ambient Intelligence—The New Dimension of Human–Computer Interaction), which discusses advanced technologies, such as Ambient Intelligence, Middleware Technologies and Ubiquitous Computing. Information specialists and web designers will have an interesting experience with Chapter 6 (Advanced Visualisation Methods) that deals with advanced visualisation techniques.
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ACT-R action agent algorithm Ambient Intelligence analysis applications approach based behaviour characteristics class cognitive architecture collaborative collaborative filtering colour components computer concepts content-based context information context-aware context-aware systems CORBA creating data database declarative memory demographic design devices dialogue management different domain engineering environment evaluation example features feedback filtering following function goal Human–computer human–computer interaction identify implemented input interaction item-based knowledge language layer level matrix memory method middleware model module movies navigation need network nodes number Ô Ô object properties ontology organisation owl:Class performance personalised plugin probability vector procedural knowledge process production rules Protégé Protégé–OWL provide ratings rdf:Description recommendation techniques recommender systems reinforcement learning representation required Roman_Empire scalability selected semantic sensors services shown in Figure songs specific Step stored structure Sub-activity Sub-Property subclasses support Table task technology tool type ubiquitous computing updated usability usability engineering usability testing user interface user preferences user profile user’s visual website