369 research outputs found
Intelligence gathering by capturing the social processes within prisons
We present a prototype system that can be used to capture longitudinal
socialising processes by recording people's encounters in space. We argue that
such a system can usefully be deployed in prisons and other detention
facilities in order help intelligence analysts assess the behaviour or
terrorist and organised crime groups, and their potential relationships. Here
we present the results of a longitudinal study, carried out with civilians,
which demonstrates the capabilities of our system.Comment: 21 pages, 7 Figures, 1 tabl
Towards sustainable transport: wireless detection of passenger trips on public transport buses
An important problem in creating efficient public transport is obtaining data
about the set of trips that passengers make, usually referred to as an
Origin/Destination (OD) matrix. Obtaining this data is problematic and
expensive in general, especially in the case of buses because on-board
ticketing systems do not record where and when passengers get off a bus. In
this paper we describe a novel and inexpensive system that uses off-the-shelf
Bluetooth hardware to accurately record passenger journeys. Here we show how
our system can be used to derive passenger OD matrices, and additionally we
show how our data can be used to further improve public transport services.Comment: 13 pages, 4 figures, 1 tabl
Exploring digital encounters in the city
In this paper we explore the types of encounters that technology enables. We
consider the differences between digital and non-digital encounters, and
investigate how technology can be appropriated for shared interactions that
support conscious (or unconscious) social encounters. Finally, we describe two
prototypes that generate different types of digital encounters in a city
context, and we discuss our initial results
Correlating Pedestrian Flows and Search Engine Queries
An important challenge for ubiquitous computing is the development of
techniques that can characterize a location vis-a-vis the richness and
diversity of urban settings. In this paper we report our work on correlating
urban pedestrian flows with Google search queries. Using longitudinal data we
show pedestrian flows at particular locations can be correlated with the
frequency of Google search terms that are semantically relevant to those
locations. Our approach can identify relevant content, media, and
advertisements for particular locations.Comment: 4 pages, 1 figure, 1 tabl
- …