Smart Environments & The Convergence of the Veillances: Privacy Violations to Consider

As a vast array of embedded smart devices will connect to the IoT (Internet of Things), society is rapidly moving into the unchartered territory of Pervasive Technology. Networks of devices will be unobtrusive; thereby freeing humans from the effort of human-to-machine (H2M) interactions, as well as elements of everyday decision-making. Technology will be far more intelligent and ubiquitous, thinking and acting for us behind the lines of visibility. The purpose of this paper is to probe the attributes of pervasive technologies (e.g. smart environments) within the context of the rapidly converging four veillances (i.e. surveillance, dataveillance, sousveillance, and uberveillance), so as to critically identify potential risk events of these processes. The authors utilized a philosophical research approach with intellectual analysis taking into account a framework of privacy border crossings violations for humans so as to yield value judgments and thereby generate discussion in the technology community

Category-length and category-strength effects using images of scenes

Global matching models have provided an important theoretical framework for recognition memory. Key predictions of this class of models are that (1) increasing the number of occurrences in a study list of some items affects the performance on other items (list-strength effect) and that (2) adding new items results in a deterioration of performance on the other items (list-length effect). Experimental confirmation of these predictions has been difficult, and the results have been inconsistent. A review of the existing literature, however, suggests that robust length and strength effects do occur when sufficiently similar hard-to-label items are used. In an effort to investigate this further, we had participants study lists containing one or more members of visual scene categories (bathrooms, beaches, etc.). Experiments 1 and 2 replicated and extended previous findings showing that the study of additional category members decreased accuracy, providing confirmation of the category-length effect. Experiment 3 showed that repeating some category members decreased the accuracy of nonrepeated members, providing evidence for a category-strength effect. Experiment 4 eliminated a potential challenge to these results. Taken together, these findings provide robust support for global matching models of recognition memory. The overall list lengths, the category sizes, and the number of repetitions used demonstrated that scene categories are well-suited to testing the fundamental assumptions of global matching models. These include (A) interference from memories for similar items and contexts, (B) nondestructive interference, and (C) that conjunctive information is made available through a matching operation

The diversity of the EU approach to law enforcement: Towards a coherent model inspired by a law and economics approach

Traditionally in the division of labor between the European level and the Member States it was, roughly, the European legislature that set the norms and the Member States that took care of enforcing these norms. In various policy areas, an implementation deficit has been observed, which is said to be partly due to the Member States facing difficulties with the choice of procedural options. For that reason, among others, the European legislature increasingly prescribes the enforcement approach to the Member States to back up national legislation that implements European law. This Article examines the incoherence of the EU’s approach to law enforcement in the areas of consumer, competition, environmental, and insider trading laws. After setting out the EU’s legal competences with a view to law enforcement, the rather diverse picture — mixes — of private, administrative, and criminal law enforcement in the four areas will be illustrated. The authors then ask the question of whether this divergence can be explained by an economic reasoning with respect to law enforcement. The analysis, however, identifies substantial differences between an ideal enforcement mix and the current e

Convexity criteria and uniqueness of absolutely minimizing functions

We show that absolutely minimizing functions relative to a convex Hamiltonian $H:\mathbb{R}^n \to \mathbb{R}$ are uniquely determined by their boundary values under minimal assumptions on $H.$ Along the way, we extend the known equivalences between comparison with cones, convexity criteria, and absolutely minimizing properties, to this generality. These results perfect a long development in the uniqueness/existence theory of the archetypal problem of the calculus of variations in $L^\infty.$Comment: 34 page