Many consumers now rely on different forms of voice assistants, both stand-alone devices and those built into smartphones. Currently, these systems react to specific wake-words, such as "Alexa," "Siri," or "Ok Google." However, with advancements in natural language processing, the next generation of voice assistants could instead always listen to the acoustic environment and proactively provide services and recommendations based on conversations without being explicitly invoked. We refer to such devices as "always listening voice assistants" and explore expectations around their potential use. In this paper, we report on a 178-participant survey investigating the potential services people anticipate from such a device and how they feel about sharing their data for these purposes. Our findings reveal that participants can anticipate a wide range of services pertaining to a conversation; however, most of the services are very similar to those that existing voice assistants currently provide with explicit commands. Participants are more likely to consent to share a conversation when they do not find it sensitive, they are comfortable with the service and find it beneficial, and when they already own a stand-alone voice assistant. Based on our findings we discuss the privacy challenges in designing an always-listening voice assistant.
The Association of Struggle of Revolutionary National Socialists commonly called the "Black Front" was an opposition organization in relation to NSDAP. It based its program on the doctrine developed by Otto Strasser. The aim of the Black Front was to bring about a revolution in a socialist and nationalist spirit. The revolution was supposed to overthrow the Weimar Republic system, as well as Adolf Hitler later. After the Führer came to power, the Black Front became one of the main enemies of the Reich. Many of its members were murdered in the "night of long knives", others were arrested. Until 1945, members of the organization were in exile. After the Second World War many organizations appealed to the idea of the Black Front not only in West Germany, but also in other countries.
Since the advent of consumer-oriented IoT products, like smart homes, researchers have taken up the challenge of shielding the consumers from the risks this technology entails, including privacy harms. However, security and privacy research is 'hungry' for open data (e.g., about the network traffic patterns of the devices) and open platforms to validate IoT-related solutions outside a pure simulation environment. Except for the few cases seen in the related work, datasets are not readily available to the research community and are difficult to produce in-house. Also, the reproducibility of research results and open science is hindered by the lack of an open experimentation platform (to test privacy and security solutions) that also offers a fine-grained control of the experimental setup. We present SyntIoT, a platform that allows researchers to easily deploy a complete IoT ecosystem (including devices, users, vendor clouds) into the physical world and at a low cost, hence lowering the barriers to entry in this research field. SyntIoT can be used to collect field data and to realistically validate security and privacy solutions. Our platform uses synthetic IoT devices that are fully configurable in a declarative way. Interestingly, our platform also allows commercial devices to be deployed alongside the synthetic ones. The platform provides an infrastructure to monitor the ecosystem and to extract rich data, which can be used for empirical research and data mining. This paper presents the platform, explains how it meets established research needs not yet answered in previous works, and highlights its usage in the context of three experimental scenarios.
Artykuł zawiera analizę ewolucji zwinności w zarządzaniu projektami na podstawie koncepcji „Trzech fal zwinności” Ch. Rudda. Według definicji Rudda, fala ma swój początek, gdy ludzie zaczynają organizować się wokół innowacyjnych praktyk w celu rozwiązania określonego problemu, a wraz z tym, jak rosną na znaczeniu, zaczyna się pojawiać odrębna społeczność praktyków. W miarę upływu czasu, kiedy wspólnota zasymiluje różnice, poglądy się ujednolicają, aż w końcu powstaje konsensus i fala jest kompletna. Ewolucje zwinności możemy podzielić na trzy fale charakteryzujące się odrębnym obszarem zainteresowań, jak również unikatową domeną zarządczą i aplikacyjną. Na tej podstawie wyróżnić możemy trzy wyraźne etapy ewolucji zwinności: „Zespoły zwinne”, „Skalowanie zwinności” i „Zwinność biznesowa”. Artykuł systematyzuje te obszary, wskazując jednocześnie wydarzenia z dwóch ostatnich lat potwierdzające hipotezę o zakończeniu fali pierwszej, jak również mogące świadczyć o zbliżającym się końcu fali drugiej.
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