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In What Mood Are You Today?

Zhuang, M; Gadiraju, U; (2019) In What Mood Are You Today? In: Proceedings of the 10th ACM Conference on Web. (pp. pp. 373-382). ACM: New York (NY), USA. Green open access

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The mood of individuals in the workplace has been well-studied due to its influence on task performance, and work engagement. However, the effect of mood has not been studied in detail in the context of microtask crowdsourcing. In this paper, we investigate the influence of one's mood, a fundamental psychosomatic dimension of a worker's behaviour, on their interaction with tasks, task performance and perceived engagement. To this end, we conducted two comprehensive studies; (i) a survey exploring the perception of crowd workers regarding the role of mood in shaping their work, and (ii) an experimental study to measure and analyze the actual impact of workers' moods in information findings microtasks. We found evidence of the impact of mood on a worker's perceived engagement through the feeling of reward or accomplishment, and we argue as to why the same impact is not perceived in the evaluation of task performance. Our findings have broad implications on the design and workflow of crowdsourcing systems.

Type: Proceedings paper
Title: In What Mood Are You Today?
Event: The 10th ACM Conference on Web (WebSci '19)
Location: Boston (MA), USA
Dates: 30th June 2019 - 3rd July 2019
ISBN-13: 978-1-4503-6202-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3292522.3326010
Publisher version: https://dx.doi.org/10.1145/3292522.3326010
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Human-centered computing, Information systems
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10078471
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