Nomadic Data Entry
Empirically Derived Performance Models for Data Entry Tasks in Mobile Situations
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Computers are increasingly being used in settingsaway from the desktop. Examples of such systemsinclude in-vehicle navigation systems, personaldigital assistants, and mobile telephones. Workingwith such devices is more complex because theinteractions are typically carried out in conjunctionwith other tasks. In addition, the interactionfrequently happens in a non-stationary environment,i.e., one where the user and the computing device aremoving.This book details the investigation whethercompletion time in dual-task situations increases,and whether the activation of on-screen controlsthrough man...
Computers are increasingly being used in settings
away from the desktop. Examples of such systems
include in-vehicle navigation systems, personal
digital assistants, and mobile telephones. Working
with such devices is more complex because the
interactions are typically carried out in conjunction
with other tasks. In addition, the interaction
frequently happens in a non-stationary environment,
i.e., one where the user and the computing device are
moving.
This book details the investigation whether
completion time in dual-task situations increases,
and whether the activation of on-screen controls
through manual input devices, such as a trackball,
joystick, or touch screen, is unchanged when the
targets are not stationary, and whether the present
models for predicting task completion time still
apply in mobile settings.
The book presents at a collection of predictive
models for estimating the time it takes to enter data
in a nomadic context. The models provide designers of
mobile devices estimates for mean task completion
time of data input tasks.
away from the desktop. Examples of such systems
include in-vehicle navigation systems, personal
digital assistants, and mobile telephones. Working
with such devices is more complex because the
interactions are typically carried out in conjunction
with other tasks. In addition, the interaction
frequently happens in a non-stationary environment,
i.e., one where the user and the computing device are
moving.
This book details the investigation whether
completion time in dual-task situations increases,
and whether the activation of on-screen controls
through manual input devices, such as a trackball,
joystick, or touch screen, is unchanged when the
targets are not stationary, and whether the present
models for predicting task completion time still
apply in mobile settings.
The book presents at a collection of predictive
models for estimating the time it takes to enter data
in a nomadic context. The models provide designers of
mobile devices estimates for mean task completion
time of data input tasks.
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