Article

Understanding email use: predicting action on a message

Authors:

Laura A. Dabbish,

Robert E. Kraut,

Sara KieslerAuthors Info & Claims

CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 691 - 700

https://doi.org/10.1145/1054972.1055068

Published: 02 April 2005 Publication History

Abstract

Email consumes significant time and attention in the workplace. We conducted an organizational survey to understand how and why people attend to incoming email messages. We examined people's ratings of message importance and the actions they took on specific email messages, based on message characteristics and characteristics of receivers and senders. Respondents kept half of their new messages in the inbox and replied to about a third of them. They rated messages as important if they were about work and required action. Importance, in turn, had a modest impact on whether people replied to their incoming messages and whether they saved them. The results indicate that factors other than message importance (e.g., their social nature) also determine how people handle email. Overall, email usage reflects attentional differences due both to personal propensities and to work demands and relationships.

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Roghanizad MTuretken O(2024)Resource-seeking and media choice process: A case of irrational decision makingInternational Journal of Information Management10.1016/j.ijinfomgt.2023.10271474(102714)Online publication date: Feb-2024
https://doi.org/10.1016/j.ijinfomgt.2023.102714
Khandaker FSenderovich AZhao JCohen EYu ECarbajales SChan A(2024)Transformer models for mining intents and predicting activities from emails in knowledge-intensive processesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107450128(107450)Online publication date: Feb-2024
https://doi.org/10.1016/j.engappai.2023.107450
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https://dl.acm.org/doi/10.1016/j.cose.2024.103940
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Understanding email use: predicting action on a message

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Published In

cover image ACM Conferences

CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2005

928 pages

ISBN:1581139985

DOI:10.1145/1054972

Conference Chairs:
Wendy Kellogg
IBM T. J. Watson Research Center
,
Shumin Zhai
IBM Almaden Research Center
,
General Chair:
Gerrit van der Veer
Vrije Universiteit, The Netherlands
,
Program Chair:
Carolyn Gale
Stanford University, USA

Copyright © 2005 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 April 2005

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April 2 - 7, 2005

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CHI '05 Paper Acceptance Rate 93 of 372 submissions, 25%;

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https://doi.org/10.1016/j.ijinfomgt.2023.102714
Khandaker FSenderovich AZhao JCohen EYu ECarbajales SChan A(2024)Transformer models for mining intents and predicting activities from emails in knowledge-intensive processesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107450128(107450)Online publication date: Feb-2024
https://doi.org/10.1016/j.engappai.2023.107450
Baltuttis DTeubner T(2024)Effects of visual risk indicators on phishing detection behaviorComputers and Security10.1016/j.cose.2024.103940144:COnline publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1016/j.cose.2024.103940
Tarafdar MWenninger HStich J(2023)Email Overload: Investigating Technology-fit Antecedents and Job-related OutcomeACM SIGMIS Database: the DATABASE for Advances in Information Systems10.1145/3595863.359586954:2(77-96)Online publication date: 1-May-2023
https://dl.acm.org/doi/10.1145/3595863.3595869
Liu JNeville JSingh ASun YAkoglu LGunopulos DYan XKumar ROzcan FYe J(2023)Stationary Algorithmic Balancing For Dynamic Email Re-Ranking ProblemProceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3580305.3599909(4527-4538)Online publication date: 6-Aug-2023
https://dl.acm.org/doi/10.1145/3580305.3599909
Russell EJackson TFullman MChamakiotis P(2023)Getting on top of work‐email: A systematic review of 25 years of research to understand effective work‐email activityJournal of Occupational and Organizational Psychology10.1111/joop.1246297:1(74-103)Online publication date: 23-Aug-2023
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Wu DZhao YWang XSong SLian J(2023)Digital Hoarding in Everyday Hedonic Social Media Use: The Roles of Fear of Missing out (FoMO) and Social Media AffordancesInternational Journal of Human–Computer Interaction10.1080/10447318.2023.223313940:18(5399-5414)Online publication date: 11-Jul-2023
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Lee HChiang YChou YLin KChang Y(2023)What makes IM users (un)responsive: An empirical investigation for understanding IM responsivenessInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102983172(102983)Online publication date: Apr-2023
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Bayoude KArdchir SAzzouazi M(2023)A Predictive Approach Based on Feature Selection to Improve Email Marketing Campaign Success RateInternational Conference on Advanced Intelligent Systems for Sustainable Development10.1007/978-3-031-26384-2_85(940-948)Online publication date: 10-Jun-2023
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Ohly SBastin L(2023)Effects of task interruptions caused by notifications from communication applications on strain and performanceJournal of Occupational Health10.1002/1348-9585.1240865:1Online publication date: 6-Jun-2023
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