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Understanding email use: predicting action on a message

Understanding email use: predicting action on a message CHI 2005 « ¬ PAPERS: Email and Security April 2 “7 « ¬Portland, Oregon, USA Understanding Email Use: Predicting Action on a Message Laura A. Dabbish Robert E. Kraut Susan Fussell Sara Kiesler Human-Computer Interaction Institute School of Computer Science Carnegie Mellon University 5000 Forbes Ave., Pittsburgh, PA 15213 {dabbish, robert.kraut, susan.fussell, kiesler}@cs.cmu.edu application designers have been developing more efficient search engines [25], advanced interfaces for navigating contacts [17], and interfaces designed around task management [3]. In addition, researchers have attempted to characterize and develop tools to combat unsolicited commercial email (spam) [4, 20]. Most previous empirical research on email management describes at a general level the functions email serves and the problems associated with email overload. For example, several studies have focused on how people save their email, what purposes it serves for them, and its importance as a tool for coordination in the workplace [6, 7, 12, 14, 21, 22, 24, 26, 27]. In the current study, we build on this previous work by looking carefully at the decision rules people use in dealing with particular messages. Few previous studies have examined, using behavioral data, how people choose to reply to email messages or save or http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Understanding email use: predicting action on a message

Dabbish, Laura A.; Kraut, Robert E.; Fussell, Susan; Kiesler, Sara
Association for Computing Machinery — Apr 2, 2005
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References (27)

Datasource
Association for Computing Machinery
Copyright
Copyright © 2005 by ACM Inc.
ISBN
1-58113-998-5
doi
10.1145/1054972.1055068
Publisher site
See Article on Publisher Site

Abstract

CHI 2005 « ¬ PAPERS: Email and Security April 2 “7 « ¬Portland, Oregon, USA Understanding Email Use: Predicting Action on a Message Laura A. Dabbish Robert E. Kraut Susan Fussell Sara Kiesler Human-Computer Interaction Institute School of Computer Science Carnegie Mellon University 5000 Forbes Ave., Pittsburgh, PA 15213 {dabbish, robert.kraut, susan.fussell, kiesler}@cs.cmu.edu application designers have been developing more efficient search engines [25], advanced interfaces for navigating contacts [17], and interfaces designed around task management [3]. In addition, researchers have attempted to characterize and develop tools to combat unsolicited commercial email (spam) [4, 20]. Most previous empirical research on email management describes at a general level the functions email serves and the problems associated with email overload. For example, several studies have focused on how people save their email, what purposes it serves for them, and its importance as a tool for coordination in the workplace [6, 7, 12, 14, 21, 22, 24, 26, 27]. In the current study, we build on this previous work by looking carefully at the decision rules people use in dealing with particular messages. Few previous studies have examined, using behavioral data, how people choose to reply to email messages or save or

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