Mobilizing Crowdwork: A Systematic Assessment of the Mobile Usability of HITs
Senjuti Dutta, Rhema Linder, Doug Lowe, Richard Rosenbalm, Anastasia Kuzminykh, Alex C. Williams
摘要
There is a growing interest in extending crowdwork beyond traditional desktop-centric design to include mobile devices (e.g., smartphones). However, mobilizing crowdwork remains significantly tedious due to a lack of understanding about the mobile usability requirements of human intelligence tasks (HITs). We present a taxonomy of characteristics that defines the mobile usability of HITs for smartphone devices. The taxonomy is developed based on findings from a study of three consecutive steps. In Step 1, we establish an initial design of our taxonomy through a targeted literature analysis. In Step 2, we verify and extend the taxonomy through an online survey with Amazon Mechanical Turk crowdworkers. Finally, in Step 3 we demonstrate the taxonomy’s utility by applying it to analyze the mobile usability of a dataset of scraped HITs. In this paper, we present the iterative development of the taxonomy, highlighting the observed practices and preferences around mobile crowdwork. We conclude with the implications of our taxonomy for accessibly and ethically mobilizing crowdwork not only within the context of smartphone devices, but beyond them.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper5
- Reputation Agent: Prompting Fair Reviews in Gig MarketsCarlos Toxtli, Angela Richmond-Fuller, Saiph SavageWWW 2020 · 被引用 53 次
- Becoming the Super Turker: Increasing Wages via a Strategy from High Earning WorkersSaiph Savage, Chun-Wei Chiang, Susumu Saito, Carlos Toxtli 等WWW 2020 · 被引用 53 次
- Investigating the Accessibility of Crowdwork Tasks on Mechanical TurkStephen Uzor, Jason T. Jacques, John J. Dudley, Per Ola KristenssonCHI 2021 · 被引用 27 次
- "Hi! I am the Crowd Tasker" Crowdsourcing through Digital Voice AssistantsDanula Hettiachchi, Zhanna Sarsenbayeva, Fraser Allison, Niels van Berkel 等CHI 2020 · 被引用 22 次
- The Expertise Involved in Deciding which HITs are Worth Doing on Amazon Mechanical TurkBenjamin V. Hanrahan, Anita Chen, Jiahua Ma, Ning F. Ma 等CSCW 2021 · 被引用 16 次
相关 Paper
- Improving Worker Engagement Through Conversational Microtask CrowdsourcingSihang Qiu, Ujwal Gadiraju, Alessandro BozzonCHI 2020 · 被引用 66 次
- "I Hope This Is Helpful": Understanding Crowdworkers' Challenges and Motivations for an Image Description TaskRachel N. Simons, Danna Gurari, Kenneth R. FleischmannCSCW 2020 · 被引用 27 次
- Sorry, Your HIT Is Overbooked - Investigating the Use of Crowdsourcing HIT CatchersEddy Maddalena, Alessandro Checco, Haoyu Xie, Efpraxia D. Zamani 等CSCW 2025 · 被引用 2 次
- Understanding iOS-based Crowdturfing Through Hidden UI AnalysisYeonjoon Lee, Xueqiang Wang, Kwangwuk Lee, Xiaojing Liao 等USENIX Security 2019 · 被引用 17 次
- CrowdCog: A Cognitive Skill based System for Heterogeneous Task Assignment and Recommendation in CrowdsourcingDanula Hettiachchi, Niels van Berkel, Vassilis Kostakos, Jorge GonçalvesCSCW 2020 · 被引用 38 次
