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Keystroke level analysis of email message organization

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Olle BälterAuthors Info & Claims

CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems

Pages 105 - 112

https://doi.org/10.1145/332040.332413

Published: 01 April 2000 Publication History

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Abstract

Organization of email messages takes an increasing amount of time for many email users. Research has demonstrated that users develop very different strategies to handle this organization. In this paper, the relationship between the different organization strategies and the time necessary to use a certain strategy is illustrated by a mathematical model based on keystroke-level analysis. The model estimates time usage for archiving and retrieving email messages for individual users. Besides explaining why users develop different strategies to organize email messages, the model can also be used to advise users individually when to start using folders, clean messages, learn the search functionality, and using filters to store messages. Similar models could assist evaluation of different interface designs where the number of items increase with time.

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Cited By

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Whittaker S(2018)Supporting collaborative task management in e-mailHuman-Computer Interaction10.1207/s15327051hci2001%262_320:1(49-88)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1207/s15327051hci2001%25262_3
Whittaker SBellotti VMoody P(2018)Introduction to this special issue on revisiting and reinventing e-mailHuman-Computer Interaction10.1207/s15327051hci2001%262_120:1(1-9)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1207/s15327051hci2001%25262_1
Al-Megren SKhabti JAl-Khalifa H(2018)A Systematic Review of Modifications and Validation Methods for the Extension of the Keystroke-Level ModelAdvances in Human-Computer Interaction10.1155/2018/75282782018Online publication date: 5-Dec-2018
https://dl.acm.org/doi/10.1155/2018/7528278
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Index Terms

Keystroke level analysis of email message organization
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
2. Information systems
  1. Information retrieval
  2. World Wide Web
    1. Web applications
      1. Internet communications tools
        Email

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Published In

CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems

April 2000

587 pages

ISBN:1581132166

DOI:10.1145/332040

Chairmen:
Thea Turner
Motorola Labs
,
Gerd Szwillus
Univ. of Paderborn, Paderborn, Germany

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

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Published: 01 April 2000

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CHI00

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SIGCHI

CHI00: Human Factors in Computing Systems

April 1 - 6, 2000

The Hague, The Netherlands

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CHI '00 Paper Acceptance Rate 72 of 336 submissions, 21%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

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Whittaker S(2018)Supporting collaborative task management in e-mailHuman-Computer Interaction10.1207/s15327051hci2001%262_320:1(49-88)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1207/s15327051hci2001%25262_3
Whittaker SBellotti VMoody P(2018)Introduction to this special issue on revisiting and reinventing e-mailHuman-Computer Interaction10.1207/s15327051hci2001%262_120:1(1-9)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1207/s15327051hci2001%25262_1
Al-Megren SKhabti JAl-Khalifa H(2018)A Systematic Review of Modifications and Validation Methods for the Extension of the Keystroke-Level ModelAdvances in Human-Computer Interaction10.1155/2018/75282782018Online publication date: 5-Dec-2018
https://dl.acm.org/doi/10.1155/2018/7528278
Narang KDumais SCraswell NLiebling DAi QNordlie RPharo NFreund LLarsen BRussel D(2017)Large-Scale Analysis of Email Search and Organizational StrategiesProceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval10.1145/3020165.3020175(215-223)Online publication date: 7-Mar-2017
https://dl.acm.org/doi/10.1145/3020165.3020175
(2015)An empirical characterisation of file retrievalInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2014.10.00274:C(1-13)Online publication date: 1-Feb-2015
https://dl.acm.org/doi/10.1016/j.ijhcs.2014.10.002
Grbovic MHalawi GKarnin ZMaarek YLi JWang XGarofalakis MSoboroff ISuel TWang M(2014)How Many Folders Do You Really Need?Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management10.1145/2661829.2662018(869-878)Online publication date: 3-Nov-2014
https://dl.acm.org/doi/10.1145/2661829.2662018
Tang GPei JLuk W(2014)Email miningKnowledge and Information Systems10.1007/s10115-013-0658-241:1(1-31)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1007/s10115-013-0658-2
Lugović S(2014)Research Dimensions in Information Seeking of Music: A Plea for the Socio-technical PerspectiveInformation Literacy. Lifelong Learning and Digital Citizenship in the 21st Century10.1007/978-3-319-14136-7_75(722-732)Online publication date: 2014
https://doi.org/10.1007/978-3-319-14136-7_75
Wentz BHochheiser HLazar J(2013)A survey of blind users on the usability of email applicationsUniversal Access in the Information Society10.1007/s10209-012-0285-912:3(327-336)Online publication date: 1-Aug-2013
https://dl.acm.org/doi/10.1007/s10209-012-0285-9
Capra RKhanova JRamdeen S(2013)Work and personal e‐mail use by university employees: PIM practices across domain boundariesJournal of the American Society for Information Science and Technology10.1002/asi.2281564:5(1029-1044)Online publication date: Apr-2013
https://doi.org/10.1002/asi.22815
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Understanding email use: predicting action on a message

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