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MobileHCI is a forum for academics and practitioners to discuss the
challenges and potential solutions for e?ective human-computer
interaction with mobile systems and services. It covers the design,
evaluation and application of te- niques and approaches for all
mobile computing devices and services. MobileHCI 2004 was the sixth
in the series of conferences that was started at Glasgow U- versity
in 1998 by Chris Johnson. We previously chaired the conference in
1999 in Edinburgh (as part of INTERACT 1999) and in 2001 in Lille
(as part of IHM-HCI 2001). The last two years saw the conference
move to Italy, ?rst - der the chairmanship of Fabio Patern` o in
Pisa then under Luca Chittaro in Udine. In 2005 the conference will
move to Austria to be chaired by Manfred Tscheligi. Each year the
conference has its own website hosted by the conference chair,
however the address www. mobilehci. org will always point to the
next (or current) conference. The number of submissions has
increased every year. This year we received 79 full papers (63 were
received last year) from which we accepted the best 25. We had 81
short papers and posters submitted (59 last year) and accepted 20
of these as short papers and 22 as posters. We received 9 workshop,
4 tutorial and 2 panel proposals, from which 5, 2 and 2,
respectively, were accepted.
The ongoing migration of computing and information access from the
desktop and te- phone to mobile computing devices such as PDAs,
tablet PCs, and next-generation (3G) phones poses critical
challenges for research on information access. Desktop computer
users are now used to accessing vast quantities of complex data
either directly on their PC or via the Internet - with many
services now blurring that distinction. The current
state-of-practice of mobile computing devices, be they mobile
phones, hand-held computers, or personal digital assistants (PDAs),
is very variable. Most mobile phones have no or very limited
information storage and very poor Internet access. Furthermore,
very few end-users make any, never mind extensive, use of the
services that are provided. Hand-held computers, on the other hand,
tend to have no wireless network capabilities and tend to be used
very much as electronic diaries, with users tending not to go
beyond basic diary applications.
Intelligent Computing for Interactive System Design provides a
comprehensive resource on what has become the dominant paradigm in
designing novel interaction methods, involving gestures, speech,
text, touch and brain-controlled interaction, embedded in
innovative and emerging human-computer interfaces. These interfaces
support ubiquitous interaction with applications and services
running on smartphones, wearables, in-vehicle systems, virtual and
augmented reality, robotic systems, the Internet of Things (IoT),
and many other domains that are now highly competitive, both in
commercial and in research contexts. This book presents the crucial
theoretical foundations needed by any student, researcher, or
practitioner working on novel interface design, with chapters on
statistical methods, digital signal processing (DSP), and machine
learning (ML). These foundations are followed by chapters that
discuss case studies on smart cities, brain-computer interfaces,
probabilistic mobile text entry, secure gestures, personal context
from mobile phones, adaptive touch interfaces, and automotive user
interfaces. The case studies chapters also highlight an in-depth
look at the practical application of DSP and ML methods used for
processing of touch, gesture, biometric, or embedded sensor inputs.
A common theme throughout the case studies is ubiquitous support
for humans in their daily professional or personal activities. In
addition, the book provides walk-through examples of different DSP
and ML techniques and their use in interactive systems. Common
terms are defined, and information on practical resources is
provided (e.g., software tools, data resources) for hands-on
project work to develop and evaluate multimodal and multi-sensor
systems. In a series of in-chapter commentary boxes, an expert on
the legal and ethical issues explores the emergent deep concerns of
the professional community, on how DSP and ML should be adopted and
used in socially appropriate ways, to most effectively advance
human performance during ubiquitous interaction with omnipresent
computers. This carefully edited collection is written by
international experts and pioneers in the fields of DSP and ML. It
provides a textbook for students and a reference and technology
roadmap for developers and professionals working on interaction
design on emerging platforms.
Intelligent Computing for Interactive System Design provides a
comprehensive resource on what has become the dominant paradigm in
designing novel interaction methods, involving gestures, speech,
text, touch and brain-controlled interaction, embedded in
innovative and emerging human-computer interfaces. These interfaces
support ubiquitous interaction with applications and services
running on smartphones, wearables, in-vehicle systems, virtual and
augmented reality, robotic systems, the Internet of Things (IoT),
and many other domains that are now highly competitive, both in
commercial and in research contexts. This book presents the crucial
theoretical foundations needed by any student, researcher, or
practitioner working on novel interface design, with chapters on
statistical methods, digital signal processing (DSP), and machine
learning (ML). These foundations are followed by chapters that
discuss case studies on smart cities, brain-computer interfaces,
probabilistic mobile text entry, secure gestures, personal context
from mobile phones, adaptive touch interfaces, and automotive user
interfaces. The case studies chapters also highlight an in-depth
look at the practical application of DSP and ML methods used for
processing of touch, gesture, biometric, or embedded sensor inputs.
A common theme throughout the case studies is ubiquitous support
for humans in their daily professional or personal activities. In
addition, the book provides walk-through examples of different DSP
and ML techniques and their use in interactive systems. Common
terms are defined, and information on practical resources is
provided (e.g., software tools, data resources) for hands-on
project work to develop and evaluate multimodal and multi-sensor
systems. In a series of in-chapter commentary boxes, an expert on
the legal and ethical issues explores the emergent deep concerns of
the professional community, on how DSP and ML should be adopted and
used in socially appropriate ways, to most effectively advance
human performance during ubiquitous interaction with omnipresent
computers. This carefully edited collection is written by
international experts and pioneers in the fields of DSP and ML. It
provides a textbook for students and a reference and technology
roadmap for developers and professionals working on interaction
design on emerging platforms.
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