P R.E S E N T S              .

Memory and Action Selection in Human-Machine Interaction Volume 1

DATE: 2017-10-05  SIZE: 6.54MB   DISKS: 02_______4.77MB      PAGES: 162

PUBLISHER: Wiley                             GENRE: Computer Science

AUTHOR: Muneo Kitajima

FORMAT: PDF    PROTECTION: DRM     EDITION:

URL: https://is.gd/XSRF6i

LANGUAGE: English   ISBN: 978-1-119-26864-2

: The first goal of this book is to extend Two Minds originating from        :
: behavioral economics to the domain of interaction, where the time dimension:
: has to be dealt with rigorously; in humanûmachine interaction, it is of    :
: crucial importance how synchronization between conscious processes and     :
: unconscious processes is established for a sense of smoothness, and how    :
: memory processes and action selection processes are coordinated. The first :
: half this book describes the theory in detail. The book begins by outlining:
: the whole view of the theory consisting of action selection processes and  :
: memorization processes, and their interactions. Then, a detailed           :
: description for action selection processes theorized as a nonlinear dynamic:
: human behavior model with real-time constraints is provided, followed by a :
: description for memorization processes. Also, implications of the theory to:
: humanûmachine interactions are discussed.                                  :

: The second goal of this book is to provide a methodology to study how Two  :
: Minds works in practice when people use interactive systems. The latter    :
: half of this book describes theory practices in detail. A new methodology  :
: called Cognitive Chrono-Ethnography (CCE) is introduced, which adds the    :
: time dimension to HutchinsÆ Cognitive Ethnography, in order to practice    :
: "know the users" systematically by designing user studies based on a       :
: simulation of usersÆ mental operations controlled by Two Minds. The author :
: then shows how CCE has been applied to understanding the ways in which     :
: people navigate in real physical environments by walking and by car,       :
: respectively, and explores the possibility of applying CCE to predict      :
: peopleÆs future needs. This is not for understanding how people use        :
: interfaces at present but to predict how people want to use the interfaces :
: in the future given they are currently using them in a certain way.        :

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