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Connectionist modelling and neural network applications had become
a major sub-field of cognitive science by the mid-1990s. In this
ground-breaking book, originally published in 1995, leading
connectionists shed light on current approaches to memory and
language modelling at the time. The book is divided into four
sections: Memory; Reading; Computation and statistics; Speech and
audition. Each section is introduced and set in context by the
editors, allowing a wide range of language and memory issues to be
addressed in one volume. This authoritative advanced level book
will still be of interest for all engaged in connectionist research
and the related areas of cognitive science concerned with language
and memory.
Connectionist modelling and neural network applications had become
a major sub-field of cognitive science by the mid-1990s. In this
ground-breaking book, originally published in 1995, leading
connectionists shed light on current approaches to memory and
language modelling at the time. The book is divided into four
sections: Memory; Reading; Computation and statistics; Speech and
audition. Each section is introduced and set in context by the
editors, allowing a wide range of language and memory issues to be
addressed in one volume. This authoritative advanced level book
will still be of interest for all engaged in connectionist research
and the related areas of cognitive science concerned with language
and memory.
User Engagement (UE) is a complex concept to investigate. The
purpose of this book is not to constrain UE to one perspective, but
to offer a well-rounded appreciation for UE across various domains
and disciplines. The text begins with two foundational chapters
that describe theoretical and methodological approaches to user
engagement; the remaining contributions examine UE from different
disciplinary perspectives and across a range of computer-mediated
environments, including social and communications media, online
search, eLearning, games, and eHealth. The book concludes by
bringing together the cross-disciplinary perspectives presented in
each chapter and proposing an agenda for future research in this
area. The book will appeal to established and emerging academic and
industry researchers looking to pursue research and its challenges.
This includes scholars at all levels with an interest in user
engagement with digital media, from students to experienced
researchers, and professionals in the fields of computer science,
web technology, information science, museum studies, learning and
health sciences, human-computer interaction, information
architecture and design, and creative arts.
User Engagement (UE) is a complex concept to investigate. The
purpose of this book is not to constrain UE to one perspective, but
to offer a well-rounded appreciation for UE across various domains
and disciplines. The text begins with two foundational chapters
that describe theoretical and methodological approaches to user
engagement; the remaining contributions examine UE from different
disciplinary perspectives and across a range of computer-mediated
environments, including social and communications media, online
search, eLearning, games, and eHealth. The book concludes by
bringing together the cross-disciplinary perspectives presented in
each chapter and proposing an agenda for future research in this
area. The book will appeal to established and emerging academic and
industry researchers looking to pursue research and its challenges.
This includes scholars at all levels with an interest in user
engagement with digital media, from students to experienced
researchers, and professionals in the fields of computer science,
web technology, information science, museum studies, learning and
health sciences, human-computer interaction, information
architecture and design, and creative arts.
Human-Computer Interaction draws on the fields of computer science,
psychology, cognitive science, and organisational and social
sciences in order to understand how people use and experience
interactive technology. Until now, researchers have been forced to
return to the individual subjects to learn about research methods
and how to adapt them to the particular challenges of HCI. This is
the first book to provide a single resource through which a range
of commonly used research methods in HCI are introduced. Chapters
are authored by internationally leading HCI researchers who use
examples from their own work to illustrate how the methods apply in
an HCI context. Each chapter also contains key references to help
researchers find out more about each method as it has been used in
HCI. Topics covered include experimental design, use of
eyetracking, qualitative research methods, cognitive modelling, how
to develop new methodologies and writing up your research.
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