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People watching: Abstractions and orthodoxies of monitoring

Victoria Wang Orcid Logo, John Tucker Orcid Logo

Technology in Society, Volume: 72, Start page: 102178

Swansea University Author: John Tucker Orcid Logo

  • Accepted Manuscript under embargo until: 22nd November 2024

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DOI (Published version): 10.1016/j.techsoc.2022.102178

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 m...

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Published in: Technology in Society
ISSN: 0160-791X
Published: Elsevier BV 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa62021
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first_indexed 2022-11-24T10:38:24Z
last_indexed 2023-01-13T19:23:11Z
id cronfa62021
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spelling 2022-12-16T08:46:04.9999353 v2 62021 2022-11-24 People watching: Abstractions and orthodoxies of monitoring 431b3060563ed44cc68c7056ece2f85e 0000-0003-4689-8760 John Tucker John Tucker true false 2022-11-24 SCS 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.We argue for the development of a general theory of monitoring. Journal Article Technology in Society 72 102178 Elsevier BV 0160-791X Monitoring; Interventions; Software; Data; Surveillance 1 2 2023 2023-02-01 10.1016/j.techsoc.2022.102178 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2022-12-16T08:46:04.9999353 2022-11-24T10:35:26.8835050 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Victoria Wang 0000-0003-4684-9707 1 John Tucker 0000-0003-4689-8760 2 Under embargo Under embargo 2022-11-24T10:37:35.0652290 Output 727251 application/pdf Accepted Manuscript true 2024-11-22T00:00:00.0000000 ©2022 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title People watching: Abstractions and orthodoxies of monitoring
spellingShingle People watching: Abstractions and orthodoxies of monitoring
John Tucker
title_short People watching: Abstractions and orthodoxies of monitoring
title_full People watching: Abstractions and orthodoxies of monitoring
title_fullStr People watching: Abstractions and orthodoxies of monitoring
title_full_unstemmed People watching: Abstractions and orthodoxies of monitoring
title_sort People watching: Abstractions and orthodoxies of monitoring
author_id_str_mv 431b3060563ed44cc68c7056ece2f85e
author_id_fullname_str_mv 431b3060563ed44cc68c7056ece2f85e_***_John Tucker
author John Tucker
author2 Victoria Wang
John Tucker
format Journal article
container_title Technology in Society
container_volume 72
container_start_page 102178
publishDate 2023
institution Swansea University
issn 0160-791X
doi_str_mv 10.1016/j.techsoc.2022.102178
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
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description 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.We argue for the development of a general theory of monitoring.
published_date 2023-02-01T04:21:18Z
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score 11.016235

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