Semistructured messages are surprisingly useful for computer-supported coordination
ACM Transactions on Information Systems (TOIS)
Diversity in the use of electronic mail: a preliminary inquiry
ACM Transactions on Information Systems (TOIS)
Computer support for biomedical work groups
CSCW '88 Proceedings of the 1988 ACM conference on Computer-supported cooperative work
Cooperative work in the Andrew message system
CSCW '88 Proceedings of the 1988 ACM conference on Computer-supported cooperative work
Electronic markets and electronic hierarchies
Communications of the ACM
Comparing a form-based and a language-based user interface for instructing a mail program
CHI '87 Proceedings of the SIGCHI/GI Conference on Human Factors in Computing Systems and Graphics Interface
Tools for supporting cooperative work near and far: highlights from the CSCW conference
CHI '89 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using latent semantic indexing for information filtering
COCS '90 Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems
Information access in complex, poorly structured information spaces
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MAFIA—an active mail-filter-agent for an intelligent document processing support
ACM SIGOIS Bulletin
An annotated bibliography of computer supported cooperative work
ACM SIGCHI Bulletin - Special issue: Computer supported cooperative work
Personalized information delivery: an analysis of information filtering methods
Communications of the ACM - Special issue on information filtering
Ubiquitous audio: capturing spontaneous collaboration
CSCW '92 Proceedings of the 1992 ACM conference on Computer-supported cooperative work
Capturing, structuring, and representing ubiquitous audio
ACM Transactions on Information Systems (TOIS)
COCS '93 Proceedings of the conference on Organizational computing systems
Developing a reflective model of collaborative systems
ACM Transactions on Computer-Human Interaction (TOCHI)
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
A Feature-based Approach to Recommending Selections based on Past Preferences
User Modeling and User-Adapted Interaction
Stereotype-based versus personal-based filtering rules in information filtering systems
Journal of the American Society for Information Science and Technology
Why do we ReachOut?: functions of a semi-persistent peer support tool
GROUP '03 Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work
ECSCW'91 Proceedings of the second conference on European Conference on Computer-Supported Cooperative Work
Suitable notification intensity: the dynamic awareness system
Proceedings of the 2007 international ACM conference on Supporting group work
Introduction to this special issue on revisiting and reinventing e-mail
Human-Computer Interaction
In search of coherence: a review of e-mail research
Human-Computer Interaction
Supporting collaborative task management in e-mail
Human-Computer Interaction
Active messenger: e-mail filtering and delivery in a heterogeneous network
Human-Computer Interaction
Workflow management systems for process organisations
Workflow management systems for process organisations
iCAP: interactive prototyping of context-aware applications
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
A flexible news filtering model exploiting a hierarchical fuzzy categorization
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Discussion: Issues when designing filters in messaging systems
Computer Communications
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The Information Lens provides electronic mail users with the ability to write rules that automatically sort, select, and filter their messages. This paper describes preliminary results from an eighteen-month investigation of the use of this system at a corporate test site. We report the experiences of 13 voluntary users who have each had at least three months experience with the most recent version of the system. We found that:People without significant computer experience are able to create and use rules effectively.Useful rules can be created based on the fields present in all messages (e.g., searching for distribution lists or one's own name in the address fields or for character strings in the subject field), even without any special message templates.People use rules both to prioritize messages before reading them and to sort messages into folders for storage after reading them.People use delete rules primarily to filter out messages from low-priority distribution lists, not to delete personal messages to themselves.