Location-based intelligence - modeling behavior in humans using GPS

This paper introduces the notion of location-based intelligence by tracking the spatial properties and behavior of a single civilian participant over a two-week study period using a global positioning system (GPS) receiver, and displaying them on a geographic information system (GIS). The paper clearly shows the power of combining speed (S), distance (D), time (T) and elevation (E) data with the exact longitude and latitude position of the user. The issues drawn from the observation and the civilian's personal diary are useful in understanding the social implications of tracking and monitoring objects and subjects using GPS. The findings show that while GPS has been used in some very innovative ways, there are a plethora of ethical dilemmas associated with its use on civilians, even if they are requesting a given service and paying for its utilization. From the information recorded during the field observation, a number of inherent technical limitations in GPS were identified which add to the complexity of such related areas as law and commerce. In conclusion, while the benefits of GPS for specific applications is apparent, safeguards need to be put in place to ensure that information gathered by the GPS is not misused or abused. One can envisage that if the wrong hands obtain location information records for individual subscribers that the potential exposure and risk might be even greater than that of stolen credit cards.

[1]  Hwang-Cheng Wang,et al.  Proactive health care underpinned by embedded and mobile technologies , 2005, Fourth Annual ACIS International Conference on Computer and Information Science (ICIS'05).

[2]  Goran M. Djuknic,et al.  Geolocation and Assisted GPS , 2001, Computer.

[3]  Katina Michael,et al.  The Emerging Ethics of Humancentric GPS Tracking and Monitoring , 2006, 2006 International Conference on Mobile Business.

[4]  A. Morris,et al.  Digital trail libraries , 2004, Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004..

[5]  Ashton Applewhite IEEE Pervasive Computing: News - What Knows Where You Are? Personal Safety in the Early Days of Wireless , 2002, IEEE Distributed Syst. Online.

[6]  R. Cucchiara,et al.  Track-based and object-based occlusion for people tracking refinement in indoor surveillance , 2004, VSSN '04.

[7]  Roger A. Clarke,et al.  Information technology and dataveillance , 1988, CACM.

[8]  Judith A. Jamison Senkevitch Consequences of innovation : perceptions and correlates of change after systematic assessment and planning in small academic libraries , 1989 .

[9]  Ramesh C. Jain,et al.  Electronic Chronicles: Empowering Individuals, Groups, and Organizations , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[10]  Marco Gruteser,et al.  Framework for security and privacy in automotive telematics , 2002, WMC '02.

[11]  Jussi Myllymaki,et al.  Location aggregation from multiple sources , 2002, Proceedings Third International Conference on Mobile Data Management MDM 2002.

[12]  Kentaro Kayama,et al.  Semi-autonomous outdoor mobility support system for elderly and disabled people , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[13]  Peter Steenkiste,et al.  Access control to people location information , 2005, TSEC.

[14]  Alexander Ferworn,et al.  Pocket PC beacons: Wi-Fi based human tracking and following , 2005, SAC '05.