Context-aware technologies aim to estimate a person’s activity by analysing mobile device sensors to gain insight into their behaviour and environment. Companies like Apple and Google are fighting for patents that implement this concept in order to suggest their specific content and services.
Predefined rhythms of usage and patterns acquired through personal training allow mobile phones and other portable gadgets to deduce what a person is doing at any given moment. In the near future, it may even be possible to obtain an estimate of someone’s emotional state by comparing various sensory inputs.
This project focuses on the possible consequences of such technologies and their possible impact on interpersonal relationships. We inquired, for instance, what would happen if someone would obtain access to another person’s physical or emotional data, or how would social etiquette adapt to this possible reality.
Current technologies, ones that do not assess such patterns, allow a mediation of interpersonal relationships via (at times manipulative) with holding of information. This may change in the near future. Our exploration for was ways for to remain in control of the context perceived by such devices. To put more poignantly:
How can we trick our smart devices into believing lies?”
The result is a series of analogue objects able fool such context-aware devices and services, using recorded activity patterns, analysed with the help of custom built software, to influence their algorithmic interpretation.