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People watching: Abstractions and orthodoxies of monitoring

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  • Wang, Victoria
  • Tucker, John V.

Abstract

Our society has an insatiable appetite for data. Much of the data is collected to monitor the activities of people, e.g., for discovering the purchasing behaviour of customers, observing the users of apps, managing the performance of personnel, and conforming to regulations and laws, etc. Although monitoring practices are ubiquitous, monitoring as a general concept has received little analytical attention. We explore: (i) the nature of monitoring facilitated by software; (ii) the structure of monitoring processes; and (iii) the classification of monitoring systems. We propose an abstract definition of monitoring as a theoretical tool to analyse, document, and compare disparate monitoring applications. For us, monitoring is simply the systematic collection of data about the behaviour of people and objects. We then extend this concept with mechanisms for detecting events that require interventions and changes in behaviour, and describe five types of monitoring.

Suggested Citation

  • Wang, Victoria & Tucker, John V., 2023. "People watching: Abstractions and orthodoxies of monitoring," Technology in Society, Elsevier, vol. 72(C).
    • Handle: RePEc:eee:teinso:v:72:y:2023:i:c:s0160791x22003190
    DOI: 10.1016/j.techsoc.2022.102178
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    References listed on IDEAS

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    1. Kao, Yu-Hui & Sapp, Stephen G., 2022. "The effect of cultural values and institutional trust on public perceptions of government use of network surveillance," Technology in Society, Elsevier, vol. 70(C).
    2. Ioannou, Athina & Tussyadiah, Iis, 2021. "Privacy and surveillance attitudes during health crises: Acceptance of surveillance and privacy protection behaviours," Technology in Society, Elsevier, vol. 67(C).
    3. Andrew Whitmore & Anurag Agarwal & Li Xu, 2015. "The Internet of Things—A survey of topics and trends," Information Systems Frontiers, Springer, vol. 17(2), pages 261-274, April.
    4. Fontes, Catarina & Hohma, Ellen & Corrigan, Caitlin C. & Lütge, Christoph, 2022. "AI-powered public surveillance systems: why we (might) need them and how we want them," Technology in Society, Elsevier, vol. 71(C).
    5. Taylor, Frederick Winslow, 1911. "The Principles of Scientific Management," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, number taylor1911.
    6. Saheb, Tahereh & Sabour, Elham & Qanbary, Fatimah & Saheb, Tayebeh, 2022. "Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies," Technology in Society, Elsevier, vol. 69(C).
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    1. Tironi, Martín & Rivera Lisboa, Diego Ignacio, 2023. "Artificial intelligence in the new forms of environmental governance in the Chilean State: Towards an eco-algorithmic governance," Technology in Society, Elsevier, vol. 74(C).

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