Abstract:
Intelligent environments are physical
spaces that can sense and respond to the people and events
taking place within them, providing opportunities for
people to influence environmental factors that affect
them, such as the lighting, temperature, décor or
background music in the common areas of an office
building. The designer of an environment that can be
influenced by a group of collocated people rather than a
single individual must decide how to accord influence
among the individuals in the group. We have designed two
multi-agent group preference arbitration schemes and
tested them out in an intelligent environment, MusicFX,
which controls the selection of music played in a fitness
center. One scheme seeks to maximize the average
satisfaction of the inhabitants, the other seeks to
maximize the equitable distribution of satisfaction among
the inhabitants. We present the results of a series of
experiments using real data collected from the deployed
system, and discuss the ramifications of these two
potentially conflicting goals. Download the
full reportfull
report. (PDF 265 KB)
|
