Source: http://idtrail.org/content/view/556/42/index.html
Timestamp: 2019-04-19 22:14:52+00:00

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In an increasingly mobile information society, location has become a new commodity giving rise to technologies such as wireless cell phones, global positioning systems (GPS), radio-frequency ID (RFID), and geographic information systems (GIS). Location technologies make visible an individual’s movements and activities, revealing patterns of behavior that are not possible without the use of this technology. In a typical day’s activities – using a debit card, an electronic toll pass, an automobile’s GPS navigation system, and a cell phone – information about one’s location can be tracked and stored in many ways.
The desire to protect this information is called location privacy, and is based upon Westin’s (1967) notion of privacy as “the claim of individuals … to determine for themselves when, how, and to what extent information about them is communicated to others”, a framework of autonomy or control of information about one’s self.  While much literature focuses on informational and relational privacy, locational privacy, is less well studied.
Communication tools, transactional cards, personal locator and navigational systems, radio frequency identification devices, and surveillance cameras all have the capability to provide information about one’s location and behavior. In particular, geospatial technologies, such as global positioning systems (GPS) and geographic information systems (GIS), are powerful in their scope and capability to converge locational and tracking technologies. Geographic information systems (GIS) aggregate data and information from multiple sources including satellite, aerial, and infrared imagery, geodetic information, and “layered” attribute information (such as property records). These aggregates of data, like data mining systems, create collected bits of information that generate valuable and powerful profiles of objects.
There are a growing number of high resolution satellites providing imagery for GIS systems. These eyes in the sky raise the question of “how close is too close”, or at what level (i.e. resolution) do these images become intrusive to individual privacy. High resolution commercial satellite systems currently allow general features of facilities to be readily observed: the QuickBird system provides 0.6mGSD resolution satellite images with 1-14 day sampling. At this resolution, features such as buildings, roads, and large objects are visible (for example, see a 0.6m GSD  image of the Washington D.C. airport). GIS systems also include aerial images that provide details at <0.3mGSD. Thus, precise geolocation information can be discerned in geospatial systems, especially when information is aggregated with other sources.
It is tempting to say that only very high spatial resolution is intrusive. But consider the situation of a low spatial resolution object (such as a dot representing an individual) overlayed onto a map and then captured in near-real time, i.e., at high temporal resolution. For example, one can identify a teenager’s location on a map, and then track his movements in near-real time through GPS data. In this scenario, even without high spatial resolution, one’s behaviors and actions are identifiable, allowing a system to track movements and infer from that information one’s actions and behaviors. Thus, the combinatory effect of high temporal resolution, with either low or high spatial resolution, identifies and becomes intrusive in ways that singular information would not. This means both the spatial and temporal contexts must be evaluated when determining intrusiveness.
The new Real-time Rome project announced last month by MIT provides an example of the applications of GIS systems and visualization tools, using data from cell-phone usage, pedestrian and transportation patterns, to map usages of urban space. While visualization is based upon aggregated information, individual-level data is collected.
What rights do we have to locational privacy? In the United States, common law gives rise to four generally recognized privacy torts: (a) intrusion upon a person's seclusion; (b) public disclosure of private facts; (c) publicity in a false light; and (d) misappropriation of one's likeness. However, the public disclosure tort is limited by the clause “if an event takes place in a public place, the tort is unavailable” (Restatement (Second) of Torts 652D, 1977), and the courts have generally ruled that a person traveling in public places voluntarily conveys location information. But courts have also recognized that “a person does not automatically make public everything he does merely by being in a public place” (Nader v. GMC, 1969, 570-71; see also, Doe v. Mills, 1995).
Constitutional protections for privacy, derived from the Fourth Amendment, restrict government intrusion into our personal life through searches of persons, personal space, and information. In the seminal case Katz v. United States (1967), the United States Supreme Court held that government eavesdropping of a man in a public phone booth violated a reasonable expectation of privacy because the Fourth Amendment protects “people, not places.” The Court held that whatever a person “seeks to preserve as private, even in an area accessible to the public, may be constitutionally protected” (389 U.S. 347, 352, emphasis added). This gave rise to the two-pronged test of constitutional protection: whether an individual has an expectation of privacy that society will recognize as reasonable.
Furthermore, while the Electronic Communication Privacy Act (1986) protects against unauthorized interception and disclosure of electronic communications (18 USC § 2510-22; 2701-11), it excludes tracking devices (§ 3117). However, the Wireless Communication and Public Safety Act (1999), explicitly protects location information in wireless devices, (47 USC § 222, §§ f), requiring customer approval for disclosure.  But the Patriot Act (2001) has nullified some of these protections, granting broad authorities for government surveillance, including the ability to use roving wiretaps.
In summary, legal protection for location privacy in the United States is inconsistent and sectoral, providing coverage under certain situations and for specific technologies.
Emerging geospatial technologies, through their power and invisibility, re-architect our public space and change our patterns of disclosure and interaction with others in this space. Architecture regulates the boundaries of accessibility in human interaction. Just as doors and windows increased barriers and expectations of privacy in 17th century rural villages, modern technologies are decreasing these barriers, by providing new capabilities to extend or enhance human senses (our eyes, ears, and memory). This changes the architecture of our public sphere, and shifts our constructions of public-private space and boundaries. These shifts are at odds with our expectations and sense of personal space, thus leading to a sense of intrusion. In turn, this changes our awareness of disclosing and interacting with others in this space.
At the same time, the pervasiveness and invisibility of locational technologies mean that control of access to information about oneself is not available. We are unaware of the presence and activity of such technologies, and thus lack autonomy in regulating the boundaries of accessibility. This has implications for understanding our navigation and negotiation of connectivity in the modern world. In addition, the aggregation of information – whether in data mining systems or geographic information systems – creates very powerful identifiers. Whereas a single bit of information may not be threatening, aggregated bits constitute a pattern of behavior or a profile that can reveal much information and threaten one’s privacy and liberty.
Thus, the unique threats of geospatial systems as technologies of identification are based on two primary factors: a) aggregated data creates very powerful identifiers; and b) the invisibility of data collection and use results in a loss of agency in the process by which we are identified. These in turn influence how we interact in our society, and by extension, the construction of our identities.
This raises questions that require further study: What do these technologies of identification mean for our construction of identity in digital realms? That is, when technologies extend human senses, what happens to our construction of personal space and retreat, and our concept of reasonable expectations of privacy? Further, under the current legal framework, how do we address new constructions of space (e.g., reconnaissance of space above private property), new technologies of intrusion (e.g., infrared, RFID, GPS, GIS), and new constructions of scope (e.g., aggregated information)? Additional research is needed to understand how individuals define these ambiguous boundaries, our expectations of private space, and the mechanisms by which we negotiate shifting boundaries in the face of emerging locational technologies.
 GSD, ground sample distance, refers to the pixel representation of the distance on the ground between two components, in digital imagery.
 See Hester v. United States, 265 U.S. 57 (1924) and Oliver v. United States, 466 U.S. 170 (1984) for a discussion of the “open fields doctrine” which suggests that constitutional protection is not extended to the open fields.
 Curry, M. (1996). In plain and open view: GIS and the problem of privacy. Paper presented at the Conference on Law and Information Policy for Spatial Databases, Santa Barbara, CA.
 Edmundson, K. E. (2005). Global positioning system implants: Must consumer privacy be lost in order for people to be found? Indiana Law Review, 38.
Lorraine Kisselburgh is a doctoral student in Media, Technology, and Society (Department of Communication) at Purdue University. Portions of this article were presented at the NYU Symposium on “Identity and Identification in a Networked World” and at the International Communication Association in Dresden Germany, and have been submitted for publication in the “ICA 2006 Theme Session Proceedings.” The author wishes to acknowledge the support of Eugene Spafford (Department of Computer Science, Purdue University) in the conceptualization of this project.

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