Bluetooth friendly names: bringing classic HCI questions into the mobile space

We explore the use of Bluetooth friendly names within the mobile space. Each Bluetooth-enabled device possesses a short string known as a 'friendly name' used to help identify a device to human users. In our analysis, we collected friendly names in use on 9,854 Bluetooth-enabled devices over a 7-month period. These names were then classified and the results analysed. We discovered that a broad range of HCI themes are applicable to the domain of Bluetooth friendly names, including previous work on personalisation, naming strategies and anonymity in computer mediated communication. We also found that Bluetooth is already being used as a platform for social interaction and communication amongst collocated groups and has moved beyond its original intention of file exchange

Catalogers explore a new frontier: establishing a NEASC evidence center

This article describes how cataloging staff at the Roger Williams University Library established, managed, and planned to preserve an online NEASC Evidence Center for the University’s reaccreditation process. It highlights use of MARC and AACR2rev for effective organization of the Center’s records and the continuing importance of professional cataloging skills

Pioneer brand advantage with UK consumers

Telah dilakukan kegiatan Lesson Study (LS) dalam rangka pengembangan kompetensi pendidik bidang biologi di perguruan tinggi untuk agar mengembangkan dan mengimplementasikan pembelajaran biologi yang berorientasi pada character building sekaligus meningkatkan kualitas pembelajaran. Secara spesifik, fokus pencapaian kegiatan LS ini adalah: 1) pengembangan kemampuan dosen biologi dalam mengembangan dan mengimplementasikan pembelajaran biologi umum dengan socioscientific issues-based instruction secara kolegial dalam tim LS, dan 2) menumbuhkembangkan karakter peduli dan reflective judgement mahasiswa pendidikan kimia dalam konteks ilmu biologi umum. Prosedur pelaksanaan LS ini mengikuti tahap-tahap plan-do-see, yang dilaksanakan sebanyak tiga putaran. Instrumen yang digunakan meliputi: 1) perangkat pembelajaran biologi umum berbasis socioscientific issues, 2) lembar pengamatan aktivitas dosen, 3) lembar pengamatan aktivitas belajar mahasiswa, dan 4) lembar penilaian reflective judgment. Data yang diperoleh dianalisis secara deskriptif. Hasil kegiatan LS menunjukkan adanya dinamika, tantangan dan hambatan yang dialami baik oleh dosen model maupun subjek mahasiswa

PLTTER user's guide

The PLTTER graphics system, which is part of CDDMS is discussed. CDDMS is a comprehensive system for data basing and subsequent plotting of data acquired during wind tunnel tests or from computational flow analyses. The PLTTER is a system which creates report-quality plots of data which is stored on a CDDMS data base. The Requests file system allows plot-controlling information to be arranged in the way which is most appropriate for any application. The PLTTER system features many capabilities which are especially useful when plotting wind tunnel data. The PLTTER offers a variety of page formats, different grid options and parametric curve fitting algorithms, and a powerful legend capability to identify relevant information about individual curves. One or more plots on a page can be suppressed if desired so that an established page format can be maintained. Final plot output may be standard Versatec plots, QMS Laser printer plots, or microfiche

Overview of the CLEF-2005 cross-language speech retrieval track

The task for the CLEF-2005 cross-language speech retrieval track was to identify topically coherent segments of English interviews in a known-boundary condition. Seven teams participated, performing both monolingual and cross-language searches of ASR transcripts, automatically generated metadata, and manually generated metadata. Results indicate that monolingual search technology is sufficiently accurate to be useful for some purposes (the best mean average precision was 0.18) and cross-language searching yielded results typical of those seen in other applications (with the best systems approximating monolingual mean average precision)

Information scraps: how and why information eludes our personal information management tools

In this paper we describe information scraps -- a class of personal information whose content is scribbled on Post-it notes, scrawled on corners of random sheets of paper, buried inside the bodies of e-mail messages sent to ourselves, or typed haphazardly into text files. Information scraps hold our great ideas, sketches, notes, reminders, driving directions, and even our poetry. We define information scraps to be the body of personal information that is held outside of its natural or We have much still to learn about these loose forms of information capture. Why are they so often held outside of our traditional PIM locations and instead on Post-its or in text files? Why must we sometimes go around our traditional PIM applications to hold on to our scraps, such as by e-mailing ourselves? What are information scraps' role in the larger space of personal information management, and what do they uniquely offer that we find so appealing? If these unorganized bits truly indicate the failure of our PIM tools, how might we begin to build better tools? We have pursued these questions by undertaking a study of 27 knowledge workers. In our findings we describe information scraps from several angles: their content, their location, and the factors that lead to their use, which we identify as ease of capture, flexibility of content and organization, and avilability at the time of need. We also consider the personal emotive responses around scrap management. We present a set of design considerations that we have derived from the analysis of our study results. We present our work on an application platform, jourknow, to test some of these design and usability findings

NTCIR Lifelog: The First Test Collection for Lifelog Research

Test collections have a long history of supporting repeatable and comparable evaluation in Information Retrieval (IR). However, thus far, no shared test collection exists for IR systems that are designed to index and retrieve multimodal lifelog data. In this paper we introduce the first test col- lection for personal lifelog data. The requirements for such a test collection are motivated, the process of creating the test collection is described, along with an overview of the test collection and finally suggestions are given for possible applications of the test collection, which has been employed for the NTCIR12-Lifelog task

A network approach for managing and processing big cancer data in clouds

Translational cancer research requires integrative analysis of multiple levels of big cancer data to identify and treat cancer. In order to address the issues that data is decentralised, growing and continually being updated, and the content living or archiving on different information sources partially overlaps creating redundancies as well as contradictions and inconsistencies, we develop a data network model and technology for constructing and managing big cancer data. To support our data network approach for data process and analysis, we employ a semantic content network approach and adopt the CELAR cloud platform. The prototype implementation shows that the CELAR cloud can satisfy the on-demanding needs of various data resources for management and process of big cancer data