<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Herrmann, Thomas</style></author><author><style face="normal" font="default" size="100%">Sean G. Goggins</style></author><author><style face="normal" font="default" size="100%">Michael Prilla</style></author><author><style face="normal" font="default" size="100%">Christian Stary</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Designing Healthcare That Works:  A Socio-technical Approach</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><publisher><style face="normal" font="default" size="100%">Academic Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Cambridge, MA</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;strong&gt;From Amazon:&lt;/strong&gt;&lt;/p&gt;
&lt;pre&gt;&lt;i&gt;Designing Healthcare That Works: A Sociotechnical Approach&lt;/i&gt; takes up the pragmatic, messy problems of designing and implementing sociotechnical solutions which integrate organizational and technical systems for the benefit of human health. The book helps practitioners apply principles of sociotechnical design in healthcare and consider the adoption of new theories of change. As practitioners need new processes and tools to create a more systematic alignment between technical mechanisms and social structures in healthcare, the book helps readers recognize the requirements of this alignment.

The systematic understanding developed within the book’s case studies includes new ways of designing and adopting sociotechnical systems in healthcare. For example, helping practitioners examine the role of exogenous factors, like CMS Systems in the U.S. Or, more globally, helping practitioners consider systems external to the boundaries drawn around a particular healthcare IT system is one key to understand the design challenge.

Written by scholars in the realm of sociotechnical systems research, the book is a valuable source for medical informatics professionals, software designers and any healthcare providers who are interested in making changes in the design of the systems.&lt;/pre&gt;

&lt;ul&gt;&lt;li&gt;
&lt;pre&gt;Encompasses case studies focusing on specific projects and covering an entire lifecycle of sociotechnical design in healthcare&lt;/pre&gt;
&lt;/li&gt;&lt;li&gt;
&lt;pre&gt;Provides an in-depth view from established scholars in the realm of sociotechnical systems research and related domains&lt;/pre&gt;
&lt;/li&gt;&lt;li&gt;
&lt;pre&gt;Brings a systematic understanding that includes ways of designing and adopting sociotechnical systems in healthcare&lt;/pre&gt;
&lt;/li&gt;&lt;/ul&gt;
&lt;p&gt;&lt;a href=&quot;https://www.amazon.com/Designing-Healthcare-That-Works-Sociotechnical-dp-0128125837/dp/0128125837/ref=mt_paperback?_encoding=UTF8&amp;amp;me=&amp;amp;qid=&quot;&gt;https://www.amazon.com/Designing-Healthcare-That-Works-Sociotechnical&lt;/a&gt;&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Michael S. Bernstein</style></author><author><style face="normal" font="default" size="100%">Little, Greg</style></author><author><style face="normal" font="default" size="100%">Miller, Robert C.</style></author><author><style face="normal" font="default" size="100%">Hartmann, Björn</style></author><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">David R. Karger</style></author><author><style face="normal" font="default" size="100%">Crowell, David</style></author><author><style face="normal" font="default" size="100%">Panovich, Katrina</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Soylent: A Word Processor with a Crowd Inside</style></title><secondary-title><style face="normal" font="default" size="100%">Commun. ACM</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">crowdsourcing</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete-OnlyDOI</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">58</style></volume><pages><style face="normal" font="default" size="100%">85–94</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This paper introduces architectural and interaction patterns for integrating crowdsourced human contributions directly into user interfaces. We focus on writing and editing, complex endeavors that span many levels of conceptual and pragmatic activity. Authoring tools offer help with pragmatics, but for higher-level help, writers commonly turn to other people. We thus present Soylent, a word processing interface that enables writers to call on Mechanical Turk workers to shorten, proofread, and otherwise edit parts of their documents on demand. To improve worker quality, we introduce the Find-Fix-Verify crowd programming pattern, which splits tasks into a series of generation and review stages. Evaluation studies demonstrate the feasibility of crowdsourced editing and investigate questions of reliability, cost, wait time, and work time for edits.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Juri Dachtera</style></author><author><style face="normal" font="default" size="100%">Pipek, Volkmar</style></author><author><style face="normal" font="default" size="100%">Wulf, Volker</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Sharing Knowledge and Expertise: The CSCW View of Knowledge Management</style></title><secondary-title><style face="normal" font="default" size="100%">Computer Supported Cooperative Work (CSCW) Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">collective intelligence</style></keyword><keyword><style  face="normal" font="default" size="100%">cscw</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise finding</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">information access</style></keyword><keyword><style  face="normal" font="default" size="100%">knowledge sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">QA</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">01/2013</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">22</style></volume><pages><style face="normal" font="default" size="100%">531-573</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Knowledge Management (KM) is a diffuse and controversial term, which has been used by a large number of research disciplines. CSCW, over the last 20 years, has taken a critical stance towards most of these approaches, and instead, CSCW shifted the focus towards a practice-based perspective. This paper surveys CSCW researchers’ viewpoints on what has become called ‘knowledge sharing’ and ‘expertise sharing’. These are based in an understanding of the social contexts of knowledge work and practices, as well as in an emphasis on communication among knowledgeable humans. The paper provides a summary and overview of the two strands of knowledge and expertise sharing in CSCW, which, from an analytical standpoint, roughly represent ’generations’ of research: an ’object-centric’ and a ’people-centric’ view. We also survey the challenges and opportunities ahead.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mark W. Newman</style></author><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Jungwoo Kim</style></author><author><style face="normal" font="default" size="100%">Atul Prakash</style></author><author><style face="normal" font="default" size="100%">Zhenan Hong</style></author><author><style face="normal" font="default" size="100%">Jacob Mandel</style></author><author><style face="normal" font="default" size="100%">Tao Dong</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Bringing the field into the lab: supporting capture and replay of contextual data for the design of context-aware applications</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 23nd annual ACM symposium on User interface software and technology (UIST ’10)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">context-aware</style></keyword><keyword><style  face="normal" font="default" size="100%">data capture</style></keyword><keyword><style  face="normal" font="default" size="100%">design tools</style></keyword><keyword><style  face="normal" font="default" size="100%">pervasive</style></keyword><keyword><style  face="normal" font="default" size="100%">pervasive environments</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2010</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete-NoFile</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;When designing context-aware applications, it is difficult to for designers in the studio or lab to envision the contextual conditions that will be encountered at runtime. Designers need a tool that can create/re-create naturalistic contextual states and transitions, so that they can evaluate an application under expected contexts. We have designed and developed RePlay: a system for capturing and playing back sensor traces representing scenarios of use. RePlay contributes to research on ubicomp design tools by embodying a structured approach to the capture and playback of contextual data. In particular, RePlay supports: capturing naturalistic data through Capture Probes, encapsulating scenarios of use through Episodes, and supporting exploratory manipulation of scenarios through Transforms. Our experiences using RePlay in internal design projects illustrate its potential benefits for ubicomp design.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Tao Dong</style></author><author><style face="normal" font="default" size="100%">Gifford, Scott</style></author><author><style face="normal" font="default" size="100%">Kim, Jungwoo</style></author><author><style face="normal" font="default" size="100%">Mark W. Newman</style></author><author><style face="normal" font="default" size="100%">Atul Prakash</style></author><author><style face="normal" font="default" size="100%">Qidwai, Sarah</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Simplifying User-Controlled Privacy Policies</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE Pervasive Computing</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">location-aware computing</style></keyword><keyword><style  face="normal" font="default" size="100%">location-based computing</style></keyword><keyword><style  face="normal" font="default" size="100%">privacy</style></keyword><keyword><style  face="normal" font="default" size="100%">privacy-enhancing architectures</style></keyword><keyword><style  face="normal" font="default" size="100%">privacy-protective applications</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">09/2009</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">8</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Location-aware computing infrastructures are becoming widely available.&lt;/p&gt;&lt;p&gt;However, a key problem remains: letting users manage their privacy while&lt;/p&gt;&lt;p&gt;also giving them interesting applications that take advantage of location&lt;/p&gt;&lt;p&gt;information.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue><section><style face="normal" font="default" size="100%">2</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Starr, Brian</style></author><author><style face="normal" font="default" size="100%">Pazzani, Michael</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Do-I-Care Agent: Effective Social Discovery and Filtering on the Web</style></title><secondary-title><style face="normal" font="default" size="100%">Computer-Assisted Information Searching on Internet (RIAO&#039;97)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">agents</style></keyword><keyword><style  face="normal" font="default" size="100%">collaboration</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise finding</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning</style></keyword><keyword><style  face="normal" font="default" size="100%">social filtering</style></keyword><keyword><style  face="normal" font="default" size="100%">World Wide Web</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1997</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">17–31</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The Web is a vast, dynamic source of information and resources. Because of its size and diversity, it is increasingly likely that if the information one seeks is not already there, it will be soon. Unfortunately, finding the right places to look, and persistently revisiting those places until the information is available is an onerous task. In this paper, we describe Do-I-Care (DICA), an agent that uses both technical and social mechanisms to ease the burden of locating &quot;interesting&quot; new information and resources on the Web.&lt;/p&gt;&lt;p&gt;DICA monitors Web pages previously found by the agent&#039;s user to be relevant for any changes. It then compares these changes against a user model, classifies them as potentially interesting or not, and reports the interesting changes to the user. The user model is derived by accepting relevance feedback on changes previously found. Because the agent focuses on changes to known pages rather than discovering new pages, we increase the likelihood that the information found will be interesting.&lt;/p&gt;&lt;p&gt;DICA combines an effortless collaboration mechanism with the natural incentives for individual users to maintain and train their own agents. Simply by pointing DICA agents at other agents, changes and opinions can be propagated from agent to agent automatically. Thus, individuals train and use DICA for themselves, but by using a simple technical mechanism, other users can use those results without the additional effort that often accompanies collaboration.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Starr, Brian</style></author><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Pazzani, Michael</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Do I Care?—Tell me what’s changed on the Web</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the AAAI Spring Symposium on Machine Learning in Information Access</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">agents</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise finding</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">social search</style></keyword><keyword><style  face="normal" font="default" size="100%">World Wide Web</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1996</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">119-121</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We describe the Do-I-Care agent, which uses machine learning to detect &quot;interesting&quot; changes to Web pages previously found to be relevant. Because this agent focuses on changes to known pages rather than discovering new pages, we increase the likelihood that the information found will be interesting. The agent’s accuracy in finding interesting changes and in learning is improved by exploiting regularities in how pages are changed. Additionally, these agents can be used collaboratively by cascading them and by propagating interesting findings to other users’ agents.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Starr, Brian</style></author><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Pazzani, Michael</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Do-I-Care: A Collaborative Web Agent</style></title><secondary-title><style face="normal" font="default" size="100%">Conference on Human Factors in Computing Systems (CHI&quot;96)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">agents</style></keyword><keyword><style  face="normal" font="default" size="100%">collaboration</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise finding</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning</style></keyword><keyword><style  face="normal" font="default" size="100%">social filtering</style></keyword><keyword><style  face="normal" font="default" size="100%">social search</style></keyword><keyword><style  face="normal" font="default" size="100%">World Wide Web</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1996</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">v.2, 273–274</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Social filtering and collaborative resource discovery mechanisms often fail because of the extra burden, even tiny, placed on the user. This work proposes an innovative World Wide Web agent that uses a model of collaboration that leverages the natural incentives for individual users to easily provide for collaborative work.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Palen, Leysia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Zephyr Help Instance: Promoting Ongoing Activity in a CSCW System</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI&quot;96)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">CMC</style></keyword><keyword><style  face="normal" font="default" size="100%">collaborative help</style></keyword><keyword><style  face="normal" font="default" size="100%">collective help</style></keyword><keyword><style  face="normal" font="default" size="100%">computer-mediated communications</style></keyword><keyword><style  face="normal" font="default" size="100%">e-communities</style></keyword><keyword><style  face="normal" font="default" size="100%">electronic social spaces</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">help</style></keyword><keyword><style  face="normal" font="default" size="100%">knowledge sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">media spaces</style></keyword><keyword><style  face="normal" font="default" size="100%">norms</style></keyword><keyword><style  face="normal" font="default" size="100%">organizational interfaces</style></keyword><keyword><style  face="normal" font="default" size="100%">social maintenance</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1996</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">268–275</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;If Computer-Supported Cooperative Work (CSCW) systems are to be successful over time, it will be necessary to promote ongoing and continuing activity, not just initial adoption. In this paper, we consider what technical and social affordances are required to encourage the continued use of a CSCW system. To explore these issues, we examine a chat-like system, the Zephyr Help Instance, which is used extensively at MIT. The Help Instance facilitates users asking questions of one another, and is an example of a distributed help and problem-solving system. We provide an overview of the system’s use as well as those mechanisms, both technical and social, that facilitate continuing its use over time.&lt;/p&gt;</style></abstract></record></records></xml>