Everyday surveillance

Research output: Chapter in Book/Report/Conference proceedingConference contribution

DOI

Authors

External departments

  • Association for Computing Machinery
  • University of Exeter
  • Newcastle University

Details

Original languageEnglish
Title of host publicationCHI EA 2016
Subtitle of host publication#chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems
PublisherACM
Pages3566-3573
Number of pages8
ISBN (Electronic)9781450340823
DOIs
Publication statusPublished - 7 May 2016
Event34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States
Duration: 7 May 201612 May 2016

Conference

Conference34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
CountryUnited States
CitySan Jose
Period7/05/1612/05/16
Publication type

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Surveillance, literally the 'close watching over' of a person or a group, was historically carried out to monitor adversaries and criminals. The digital era of sensor-rich, connected devices means that new forms of everyday surveillance - what some are calling 'dataveillance' - are emerging. These are changing the power structures that link people, businesses and governments. In this multidisciplinary, one day workshop, we seek to rethink and understand everyday surveillance practices, asking: what are new forms of surveillance that accompany developments in Big Data and the emerging Internet of Things; what are the anticipated and unanticipated effects of a surveillance culture; how does surveillance need to be (re)configured in order to empower the citizen or contribute to social good? We will ask who 'owns' the data that arises from these everyday acts of surveillance and what can result from rethinking these ownership models. We will consider the role and place of research in surveillance data collection and analysis.

Download Title (Resource: downloads_chaqrt)

No data available