People watching: Abstractions and orthodoxies of monitoring

Wang, Victoria; Tucker, John

doi:10.1016/j.techsoc.2022.102178

Journal article 678 views

People watching: Abstractions and orthodoxies of monitoring

Victoria Wang

, John Tucker

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

Swansea University Author: John Tucker

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
Online Access:	Check full text
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
recordtype	SURis
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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
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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
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hierarchy_top_id	facultyofscienceandengineering
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department_str	School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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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	11.035634

People watching: Abstractions and orthodoxies of monitoring

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