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Rapid advances in IT that allow complex information to be presented
in high volume and density are challenging human ability to absorb
and analyze data as never before. Designing technologies and
systems to provide optimal sensory information to human users will
be increasingly important. But to do this, quantitative
relationships between brain behavior at a molecular level and
observable human behavior must be better identified. This was
previously considered to be a futuristic, and somewhat unrealistic,
goal, however, recent advances in cognitive neuroscience have
provided new opportunities for researchers. Refinements in imaging
technology and simulation tools, and the learning yielded from
them, provided the Quantifying Human Information Processing (QHIP)
research teams strong starting points from which to further assess
the ability to quantify human information processing. Led by
experts in psychology, cognitive science, and information
processing, among other fields, researchers sought to quantify the
information flow in the nervous system, the limits of that flow,
and how it is affected by emotions. The QHIP effort looked at
specific aspects of the brain's information processing ability
including measuring task-related and unrelated thought, assessing
mental workload, and finding optimal information processing. The
researchers found important indicators of both the capacity and
limits of the human brain, and offer new ways to think about the
brain. This work is a valuable contribution to the fields of
psychology, neuroscience, and cognition, and will serve as a
resource for human factors engineers designing the next generation
of information, safety, analysis, and control systems because it
starts to answer how to maximize information processing without
overloading the central nervous system.
Winner of the 2019 Richard M. Kalish Innovative Publication Book
Award 2019 - Gerontological Society of America This new edition
provides easily accessible and usable guidelines for practitioners
in the design community for older adults. It includes an updated
overview of the demographic characteristics of older adult
populations and the scientific knowledge base of the aging process
relevant to design. New chapters include Existing and Emerging
Technologies, Work and Volunteering, Social Engagement, and Leisure
Activities. Also included is basic information on user-centered
design and specific recommendations for conducting research with
older adults. Features Focuses on design for diverse groups of
older adults Introduces the latest scientific advances, but is
easily accessible to practitioners and students Offers an emphasis
on existing and emerging technologies within everyday contexts and
activities Includes many examples of everyday activities and
contexts, as well as new chapters Presents a new conceptual model
linking design principles across a broad range of topics
Winner of the 2019 Richard M. Kalish Innovative Publication Book
Award 2019 - Gerontological Society of America This new edition
provides easily accessible and usable guidelines for practitioners
in the design community for older adults. It includes an updated
overview of the demographic characteristics of older adult
populations and the scientific knowledge base of the aging process
relevant to design. New chapters include Existing and Emerging
Technologies, Work and Volunteering, Social Engagement, and Leisure
Activities. Also included is basic information on user-centered
design and specific recommendations for conducting research with
older adults. Features Focuses on design for diverse groups of
older adults Introduces the latest scientific advances, but is
easily accessible to practitioners and students Offers an emphasis
on existing and emerging technologies within everyday contexts and
activities Includes many examples of everyday activities and
contexts, as well as new chapters Presents a new conceptual model
linking design principles across a broad range of topics
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