ECSCW 2013 Adjunct Proceedings The 13th European Conference on Computer Supported Cooperative Work 21 - 25. September 2013, Paphos, Cyprus

This volume presents the adjunct proceedings of ECSCW 2013.While the proceedings published by Springer Verlag contains the core of the technical program, namely the full papers, the adjunct proceedings includes contributions on work in progress, workshops and master classes, demos and videos, the doctoral colloquium, and keynotes, thus indicating what our field may become in the future

Paths to more effective personal information management

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.Cataloged from PDF version of thesis.Includes bibliographical references (p. 256-272).With the widespread availability of digital tools for storing, accessing, and sharing information, why is so much information still lost, forgotten, or kept on paper? The work in this thesis finds that such disorganization results from problems in the designs of the personal information management (PIM) tools in common use today. Such problems impede information capture, force many information forms to be left out, and cause information to be forgotten. How can these problems be mitigated? Our Information Scraps study identifies the need to support more diverse kinds of information, while conserving time, attention, and memory for retained information items. Our first approach to achieving these goals is to eliminate the artificial separation and homogeneity that structured PIM tools impose, so that arbitrary information can be captured in any way desired. A two-year study of List-it, our short-note-taking tool, discovers that people keep notes serving 5 primary roles: reminders, reference items, progress trackers, places to think, and archives of personal value. The second reintroduces structured data to support more effective use and management of information collections. Jourknow addresses the manageability of large note collections with lightweight-structured note contents and contextual retrieval, the access of notes by the contexts and activities at the time of creation. Poyozo reinforces recollection of previously seen information, by providing visualizations of all of a person's past information activities. Finally, Atomate addresses the challenge of managing the ever-increasing deluge of new information, by letting people delegate to software behaviors actions to be automatically taken when new information arrives. These studies identify critical needs of PIM tools and offer viable solutions.by Max Goodwin Van Kleek.Ph.D

Front-Line Physicians' Satisfaction with Information Systems in Hospitals

Day-to-day operations management in hospital units is difficult due to continuously varying situations, several actors involved and a vast number of information systems in use. The aim of this study was to describe front-line physicians' satisfaction with existing information systems needed to support the day-to-day operations management in hospitals. A cross-sectional survey was used and data chosen with stratified random sampling were collected in nine hospitals. Data were analyzed with descriptive and inferential statistical methods. The response rate was 65 % (n = 111). The physicians reported that information systems support their decision making to some extent, but they do not improve access to information nor are they tailored for physicians. The respondents also reported that they need to use several information systems to support decision making and that they would prefer one information system to access important information. Improved information access would better support physicians' decision making and has the potential to improve the quality of decisions and speed up the decision making process.Peer reviewe

Easing the writing task: designing computer based systems to help authors

An increasing number of people interact not only with computers, but through computers. Interaction between people through computers to complete work tasks is termed Computer Supported Cooperative Work (CSCW). The scope of activities supported by CSCW systems is described, and CSCW systems which support communication, meetings and writing are discussed. More specifically, the potential for improved computer support of the writing task is investigated. It is concluded that models of the writing task and writers are not yet sufficiently accurate to be embedded in normative computer programs or systems; individual writers and writing tasks are extremely varied. Leading on from the studies of both existing systems and writing theories, requirements for generic CSCW systems, single author support systems and multiple author support systems are presented. The design of CSCW systems which support asynchronous collaborative authoring of structured documents is investigated in this thesis. A novel approach to design and implementation of such systems is described and discussed. This thesis then describes MILO, a system that does not feature embedded models of writers or the writing task. In fact, MILO attempts to minimize constraints on the activities of collaborating authors and on the structure of documents. Hence with MILO, roles of participants are determined by social processes, and the presentational structure of documents is imposed at the end of the writing process. It is argued that this approach results in a workable, practical and useful design, substantiating the view that 'minimally-constrained' CSCW systems, of which MILO is an example, will be successful. It is shown that MILO successfully meets the stated requirements, and that it compares favourably with existing collaborative writing systems along several dimensions. The limitations of work presented in the thesis are discussed, leading to suggestions for future work which will remedy deficiencies and extend the work which has been undertaken. The nature of this thesis's contribution to CSCW in general, computer supported collaborative writing, and Human Computer Interaction (HCI) is discussed

Ontology-based knowledge management for technology intensive industries

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Supporting students' construction of hypermedia

This thesis considers the proposition that hypermedia may be employed effectively in higher education. More specifically, the question of its use by undergraduate music students to assist in writing essays and dissertations is investigated. The work begins with a review of general issues relating to educational hypermedia, such as its history, application, design and architecture. A user-centred approach to hypermedia development is advocated, and after critique and analysis of the literature, a framework for human-computer interaction for educational hypermedia is proposed. A case study is reported which serves to facilitate the undertaking of original research, as well as to evaluate the proposed framework. Other environments are also selected to carry out more generic research. Both reading strategies and writing strategies are investigated, and the results from these studies are used to conduct a repertory grid analysis of students' approaches to and perceptions of essay and dissertation development. The outcome of this experiment concludes with a proposal for a structural model of essay and dissertation development. Analysis of the model suggests the need for further survey analysis of taskartefact usage in specific educational domains, and experimental studies into electronic document manipulation and the reading of music from computer screens are investigated with respect to the case study environment. The implications of the research carried out in this thesis have assisted in and helped to justify the design of the prototype system HECTOR (Hypermedia, from Essay Conception TO Realisation). It aims to support students in their research, planning and writing of essays and dissertations. HECTOR has been evaluated in the field, and the results of this go some way to supporting the hypothesis of the thesis - that hypermedia can be employed effectively in higher education

Learning commonsense human-language descriptions from temporal and spatial sensor-network data

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2006.Includes bibliographical references (p. 105-109) and index.Embedded-sensor platforms are advancing toward such sophistication that they can differentiate between subtle actions. For example, when placed in a wristwatch, such platforms can tell whether a person is shaking hands or turning a doorknob. Sensors placed on objects in the environment now report many parameters, including object location, movement, sound, and temperature. A persistent problem, however, is the description of these sense data in meaningful human-language. This is an important problem that appears across domains ranging from organizational security surveillance to individual activity journaling. Previous models of activity recognition pigeon-hole descriptions into small, formal categories specified in advance; for example, location is often categorized as "at home" or "at the office." These models have not been able to adapt to the wider range of complex, dynamic, and idiosyncratic human activities. We hypothesize that the commonsense, semantically related, knowledge bases can be used to bootstrap learning algorithms for classifying and recognizing human activities from sensors.(cont.) Our system, LifeNet, is a first-person commonsense inference model, which consists of a graph with nodes drawn from a large repository of commonsense assertions expressed in human-language phrases. LifeNet is used to construct a mapping between streams of sensor data and partially ordered sequences of events, co-located in time and space. Further, by gathering sensor data in vivo, we are able to validate and extend the commonsense knowledge from which LifeNet is derived. LifeNet is evaluated in the context of its performance on a sensor-network platform distributed in an office environment. We hypothesize that mapping sensor data into LifeNet will act as a "semantic mirror" to meaningfully interpret sensory data into cohesive patterns in order to understand and predict human action.by Bo Morgan.S.M