Tangible Data Souvenirs as a Bridge between a Physical Museum Visit and Online Digital Experience

This paper presents the design, implementation, use and evaluation of a tangible data souvenir for an interactive museum exhibition. We define a data souvenir as the materialisation of the personal visiting experience: a data souvenir is dynamically created on the basis of data recorded throughout the visit and therefore captures and represents the experience as lived. The souvenir provides visitors with a memento of their visit and acts as a gateway to further online content. A step further is to enable visitors to contribute, in other words the data souvenir can become a means to collect visitor-generated content. We discuss the rationale behind the use of a data souvenir, the design process and resulting artefacts, and the implementation of both the data souvenir and online content system. Finally we examine the installation of the data souvenirs as part of a long-lasting exhibition: the use of this souvenir by visitors has been logged over seven months and issues around the gathering of user-generated content in such a way are discussed. Keywords: Tangible interaction; data souvenir; museums; user-generated content

Texas Outlaw Radio: the Prelude to United States v. Gregg et al. (1934)

Unlicensed radio stations in 1933 tested the Radio Act of 1927 as to whether or not the Federal Radio Commission (FRC) had the right to regulate radio stations whose signals were allegedly intrastate. The FRC believed it could regulate such radio stations and proceeded to confiscate equipment, charge individuals with violation of the law, and bring them to trial, either in an injunction hearing, a criminal trial, or both. The most formidable case was that of United States v. Gregg et al. The challenge was met by the FRC and the judge, whose decision is still quoted in legal documents. The decision upheld the Radio Act of 1927 and the FRC's right to regulate all radio stations, licensed or unlicensed

Probabilistic data management for pervasive computing: the data furnace project

Summarization: The wide deployment of wireless sensor and RFID (Radio Frequency IDentification) devices is one of the key enablers for next-generation pervasive computing applications, including large-scale environmental monitoring and control, context-aware computing, and “smart digital homes”. Sensory readings are inherently unreliable and typically exhibit strong temporal and spatial correlations (within and across different sensing devices); effective reasoning over such unreliable streams introduces a host of new data management challenges. The Data Furnace project at Intel Research and UC-Berkeley aims to build a probabilistic data management infrastructure for pervasive computing environments that handles the uncertain nature of such data as a first-class citizen through a principled framework grounded in probabilistic models and inference techniques.Παρουσιάστηκε στο: IEEE Data Engineering Bulleti