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Large-Scale Analysis of Email Search and Organizational Strategies

Published:07 March 2017Publication History

ABSTRACT

Email continues to be an important form of communication as well as a way to manage tasks and archive personal information. As the volume of email grows, organizing and finding relevant email remains challenging. In this paper, we present a large-scale log analysis of the activities that people perform on email mes-sages (accessing external information via links or attachments, responding to messages, and organizing messages), their search behavior, and their organizational practices in a popular web email client.

First, we characterize general email activities as well as activities associated with search. We find that within search sessions, peo-ple are more likely to access information and respond to messag-es but less likely to organize. Second, we examine the relation-ship between characteristics of a person's mailbox and their search and organizational practices. People with larger mailboxes tend to organize more, respond a little more, and access infor-mation less. People with larger mailboxes and folder structures search more, but the number of folders has less influence on search. Third, we extend previous work on email organization (e.g., filers vs. pilers; cleaners vs. keepers) by examining the extent to which these strategies are evident in our large-scale analysis and influence email activities and search. People who rely heavily on one organizational strategy tend to use others less. People who organize less tend to search more. Finally, we de-scribe how these insights can influence the design of email search.

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    • Published in

      cover image ACM Conferences
      CHIIR '17: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval
      March 2017
      454 pages
      ISBN:9781450346771
      DOI:10.1145/3020165
      • Conference Chairs:
      • Ragnar Nordlie,
      • Nils Pharo,
      • Program Chairs:
      • Luanne Freund,
      • Birger Larsen,
      • Dan Russel

      Copyright © 2017 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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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 March 2017

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      Acceptance Rates

      CHIIR '17 Paper Acceptance Rate10of48submissions,21%Overall Acceptance Rate55of163submissions,34%

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