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Conference

Conference on Computer Supported Cooperative Work 

About: Conference on Computer Supported Cooperative Work is an academic conference. The conference publishes majorly in the area(s): Computer-supported cooperative work & Social media. Over the lifetime, 3375 publications have been published by the conference receiving 191968 citations.


Papers
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Proceedings ArticleDOI
22 Oct 1994
TL;DR: GroupLens is a system for collaborative filtering of netnews, to help people find articles they will like in the huge stream of available articles, and protect their privacy by entering ratings under pseudonyms, without reducing the effectiveness of the score prediction.
Abstract: Collaborative filters help people make choices based on the opinions of other people. GroupLens is a system for collaborative filtering of netnews, to help people find articles they will like in the huge stream of available articles. News reader clients display predicted scores and make it easy for users to rate articles after they read them. Rating servers, called Better Bit Bureaus, gather and disseminate the ratings. The rating servers predict scores based on the heuristic that people who agreed in the past will probably agree again. Users can protect their privacy by entering ratings under pseudonyms, without reducing the effectiveness of the score prediction. The entire architecture is open: alternative software for news clients and Better Bit Bureaus can be developed independently and can interoperate with the components we have developed.

5,644 citations

Proceedings ArticleDOI
Paul Dourish1, Victoria Bellotti
01 Dec 1992
TL;DR: A study of shared editor use is discussed which suggests that awareness information provided and exploited passively through the shared workspace, allows users to move smoothly between close and loose collaboration, and to assign and coordinate work dynamically.
Abstract: Awareness of individual and group activities is critical to successful collaboration and is commonly supported in CSCW systems by active, information generation mechanisms separate from the shared workspace. These mechanisms pena~ise information providers, presuppose relevance to the recipient, and make access difficult, We discuss a study of shared editor use which suggests that awareness information provided and exploited passively through the shared workspace, allows users to move smoothly between close and loose collaboration, and to assign and coordinate work dynamically. Passive awareness mechanisms promise effective support for collaboration requiring this sort of behaviour, whilst avoiding problems with active approaches.

2,619 citations

Proceedings ArticleDOI
01 Dec 2000
TL;DR: This paper presents experimental evidence that shows that providing explanations can improve the acceptance of ACF systems, and presents a model for explanations based on the user's conceptual model of the recommendation process.
Abstract: Automated collaborative filtering (ACF) systems predict a person's affinity for items or information by connecting that person's recorded interests with the recorded interests of a community of people and sharing ratings between like-minded persons. However, current recommender systems are black boxes, providing no transparency into the working of the recommendation. Explanations provide that transparency, exposing the reasoning and data behind a recommendation. In this paper, we address explanation interfaces for ACF systems - how they should be implemented and why they should be implemented. To explore how, we present a model for explanations based on the user's conceptual model of the recommendation process. We then present experimental results demonstrating what components of an explanation are the most compelling. To address why, we present experimental evidence that shows that providing explanations can improve the acceptance of ACF systems. We also describe some initial explorations into measuring how explanations can improve the filtering performance of users.

1,734 citations

Proceedings ArticleDOI
Steve Harrison1, Paul Dourish2
16 Nov 1996
TL;DR: While designers use spatial models to support interaction, it is shown how it is actually a notion of “place” which frames interactive behaviour, which leads to re-evaluate spatial systems and discuss how ‘place’, rather than “space”, can support CSCW design.
Abstract: Many collaborative and communicative environments use notions of “space” and spatial organisation to facilitate and structure interaction. We argue that a focus on spatial models is misplaced. Drawing on understandings from architecture and urban design, as well as from our own research findings, we highlight the critical distinction between “space” and “place”. While designers use spatial models to support interaction, we show how it is actually a notion of “place” which frames interactive behaviour. This leads us to re-evaluate spatial systems, and discuss how “place”, rather than “space”, can support CSCW design.

1,312 citations

Proceedings ArticleDOI
01 Dec 2000
TL;DR: Findings from an ethnographic study of instant messaging in the workplace and its implications for media theory are discussed and how outeractional aspects of communication affect media choice and patterns of media use are discussed.
Abstract: We discuss findings from an ethnographic study of instant messaging (IM) in the workplace and its implications for media theory. We describe how instant messaging supports a variety of informal communication tasks. We document the affordances of IM that support flexible, expressive communication. We describe some unexpected uses of IM that highlight aspects of communication which are not part of current media theorizing. They pertain to communicative processes people use to connect with each other and to manage communication, rather than to information exchange. We call these processes "outeraction". We discuss how outeractional aspects of communication affect media choice and patterns of media use.

1,213 citations

Performance
Metrics
No. of papers from the Conference in previous years
YearPapers
2021118
202099
2019113
2018195
2017364
2016292