research-article

“I Got Some Free Time”: Investigating Task-execution and Task-effort Metrics in Mobile Crowdsourcing Tasks

Authors:

Chia-En Chiang,

Chang-Hsuan Yang,

Yung-Ju ChangAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 648, Pages 1 - 14

https://doi.org/10.1145/3411764.3445477

Published: 07 May 2021 Publication History

Abstract

Using a mixed-methods approach over six weeks, we studied 30 smartphone users’ task choices, task execution and effort devoted to two commercial mobile crowdsourcing platforms in the wild. We focused on the influence of activity contexts, characterized by breakpoint situations and activity attributes. In line with their stated preferences, the participants were more likely to proactively perform mobile crowdsourcing tasks during transitions between activities than during an ongoing activity and during long breaks, respectively. Their task choices were influenced by various activity attributes, and more impacted by their current and preceding activities than their upcoming ones. Two of our three target outcomes, task execution and task choice, were also influenced by individuals’ stress and energy levels. Our qualitative data provide further insights into participants’ decisions about which crowdsourcing tasks to perform and when; and our results’ implications for the design of future mobile crowdsourcing task-prompting mechanisms are also discussed.

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Cited By

Lee YWu MChang CChang XChang Y(2024)Investigating User-perceived Impacts of Contextual Factors on Opportune MomentsProceedings of the ACM on Human-Computer Interaction10.1145/36765148:MHCI(1-28)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676514
Chang TSu LLin YTsai JTang ZChang Y(2024)"I Want Lower Tone for Work-Related Notifications": Exploring the Effectiveness of User-Assigned Notification Alerts in Improving User Speculation of and Attendance to Mobile NotificationsProceedings of the ACM on Human-Computer Interaction10.1145/36765128:MHCI(1-25)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676512
Salim SHoque MMueller K(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
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Index Terms

“I Got Some Free Time”: Investigating Task-execution and Task-effort Metrics in Mobile Crowdsourcing Tasks
1. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
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Katherine Isbister
University of California Santa Cruz, USA
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Takeo Igarashi
The University of Tokyo, Japan
,
Publications Chairs:
Pernille Bjørn
University of Copenhagen, Denmark
,
Steven Drucker
Microsoft Research, USA

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Cited By

Lee YWu MChang CChang XChang Y(2024)Investigating User-perceived Impacts of Contextual Factors on Opportune MomentsProceedings of the ACM on Human-Computer Interaction10.1145/36765148:MHCI(1-28)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676514
Chang TSu LLin YTsai JTang ZChang Y(2024)"I Want Lower Tone for Work-Related Notifications": Exploring the Effectiveness of User-Assigned Notification Alerts in Improving User Speculation of and Attendance to Mobile NotificationsProceedings of the ACM on Human-Computer Interaction10.1145/36765128:MHCI(1-25)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676512
Salim SHoque MMueller K(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
https://dl.acm.org/doi/10.1145/3637298
Lin FTsai PLee CHo YChen YYen YChang Y(2024)“I Prefer Regular Visitors to Answer My Questions”: Users’ Desired Experiential Background of Contributors for Location-based Crowdsourcing PlatformProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642520(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642520
Lin CWu CHuang PLai YHo YChung CChang Y(2023)Scanning or Simply Unengaged in Reading? Opportune Moments for Pushed News Notifications and Their Relationship with Smartphone Users' Choice of News-reading ModesProceedings of the ACM on Human-Computer Interaction10.1145/36042687:MHCI(1-26)Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1145/3604268
Chen YLee YKao KTsai JLiang EChiu WShih FChang Y(2023)Are You Killing Time? Predicting Smartphone Users’ Time-killing Moments via Fusion of Smartphone Sensor Data and ScreenshotsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580689(1-19)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580689
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