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The Effects of Sequence and Delay on Crowd Work

Published: 18 April 2015 Publication History

Abstract

A common approach in crowdsourcing is to break large tasks into small microtasks so that they can be parallelized across many crowd workers and so that redundant work can be more easily compared for quality control. In practice, this can result in the microtasks being presented out of their natural order and often introduces delays between individual microtasks. In this paper, we demonstrate in a study of 338 crowd workers that non-sequential microtasks and the introduction of delays significantly decreases worker performance. We show that interruptions where a large delay occurs between two related tasks can cause up to a 102% slowdown in completion time, and interruptions where workers are asked to perform different tasks in sequence can slow down completion time by 57%. We conclude with a set of design guidelines to improve both worker performance and realized pay, and instructions for implementing these changes in existing interfaces for crowd work.

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  • (2023)“Sometimes It’s Like Putting the Track in Front of the Rushing Train”: Having to Be ‘On Call’ for Work Limits the Temporal Flexibility of CrowdworkersACM Transactions on Computer-Human Interaction10.1145/363514531:2(1-45)Online publication date: 4-Dec-2023
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    cover image ACM Conferences
    CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
    April 2015
    4290 pages
    ISBN:9781450331456
    DOI:10.1145/2702123
    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 the author(s) 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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    Publication History

    Published: 18 April 2015

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    Author Tags

    1. continuity
    2. crowdsourcing
    3. efficiency
    4. human computation
    5. interruptions
    6. workflows

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    CHI '15
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    CHI '15: CHI Conference on Human Factors in Computing Systems
    April 18 - 23, 2015
    Seoul, Republic of Korea

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    CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    April 26 - May 1, 2025
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    Cited By

    View all
    • (2024)Belief Miner: A Methodology for Discovering Causal Beliefs and Causal Illusions from General PopulationsProceedings of the ACM on Human-Computer Interaction10.1145/36372988:CSCW1(1-37)Online publication date: 26-Apr-2024
    • (2024)Bodywork at Work: Attending to Bodily Needs in Gig, Shift, and Knowledge WorkProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642416(1-13)Online publication date: 11-May-2024
    • (2023)“Sometimes It’s Like Putting the Track in Front of the Rushing Train”: Having to Be ‘On Call’ for Work Limits the Temporal Flexibility of CrowdworkersACM Transactions on Computer-Human Interaction10.1145/363514531:2(1-45)Online publication date: 4-Dec-2023
    • (2021)A Survey of Domain Knowledge Elicitation in Applied Machine LearningMultimodal Technologies and Interaction10.3390/mti51200735:12(73)Online publication date: 24-Nov-2021
    • (2021)Quantifying the Invisible Labor in Crowd WorkProceedings of the ACM on Human-Computer Interaction10.1145/34760605:CSCW2(1-26)Online publication date: 18-Oct-2021
    • (2020)Yesterday's Reward is Today's PunishmentProceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3398761.3398888(1090-1097)Online publication date: 5-May-2020
    • (2020)Amplifying Domain Expertise in Clinical Data PipelinesJMIR Medical Informatics10.2196/196128:11(e19612)Online publication date: 5-Nov-2020
    • (2020)Digital labour platforms and new forms of flexible work in developing countries: Algorithmic management of work and workersCompetition & Change10.1177/102452942090518725:2(212-236)Online publication date: 23-Feb-2020
    • (2019)Design recommendations for augmenting creative tasks with computational primingProceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia10.1145/3365610.3365621(1-13)Online publication date: 26-Nov-2019
    • (2019)Monotasking or MultitaskingProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300649(1-14)Online publication date: 2-May-2019
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