Sousveillance: Inventing and Using Wearable Computing Devices for Data Collection in Surveillance Environments.
By Steve Mann, Jason Nolan, Barry Wellman. 2002
697 citations recorded by the source corpus.
This paper describes using wearable computing devices to perform "sousveillance" (inverse surveillance) as a counter to organizational surveillance. A variety of wearable computing devices generated different kinds of responses, and allowed for the collection of data in different situations. Visible sousveillance often evoked counter-performances by front-line surveillance workers. The juxtaposition of sousveillance with surveillance generates new kinds of information in a social surveillance situation.
Subfields: Sociology and Political Science, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/04f1608196173e9c9642a42b3394206f5bc2a784
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In Sociology and Political Science
In Human-Computer Interaction
Citations in the corpus
- Privacy behaviors of lifeloggers using wearable cameras (2014, background): “Microsoft’s SenseCam project [17,20] specifically examined lifelogging applications but to our knowledge never performed studies about how lifeloggers manage the information.”
- Quantified self and human movement: a review on the clinical impact of wearable sensing and feedback for gait analysis and intervention. (2014, background): “Increasingly, individuals are joining societal movements such as quantified self [1], life log [2], and Sousveillance [3] and amassing large amounts of personal information through automated wearable systems.”
- The Threat of Algocracy: Reality, Resistance and Accommodation (2016, background): “Where the latter term means to watch ‘from above’ (i.e. from a position of authority), the former means to watch ‘from below’ (i.e. from the perspective of the ordinary citizen) (Mann 2013; Mann et al. 2003).”
- Deepdiary: Lifelogging image captioning and summarization (2018, background): “These cameras have long been studied in the ubiquitous computing research community for applications like recording food and other health choices, treating dementia, assisting people with visual impairments, and quantifying social interactions [1,4,22,38,44,63,68].”