Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science |
| Seiten | 373-382 |
| Seitenumfang | 10 |
| ISBN (elektronisch) | 9781450362023 |
| Publikationsstatus | Veröffentlicht - 26 Juni 2019 |
| Veranstaltung | 11th ACM Conference on Web Science, WebSci 2019 - Boston, USA / Vereinigte Staaten Dauer: 30 Juni 2019 → 3 Juli 2019 |
Publikationsreihe
| Name | WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science |
|---|
Abstract
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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
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WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science. 2019. S. 373-382 (WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - In what mood are you today?
T2 - 11th ACM Conference on Web Science, WebSci 2019
AU - Zhuang, Mengdie
AU - Gadiraju, Ujwal
N1 - Funding Information: The author is indepted to his fellow workers Drs. S. Rell, K. Merz, S. Martin, H. Pritzkow, S. Kuntz, and Dipl. Chem. U. Hoffmanns. Financial support from the Deutsche Forschungsgemeinschaft, the Fonds der Chemischen Industrie, and the Ministerium für Wissenschaft und Forschung, Nordrhein-Westfalen (Germany), is gratefully acknowledged. Publisher Copyright: © 2019 Association for Computing Machinery.
PY - 2019/6/26
Y1 - 2019/6/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85069468258&partnerID=8YFLogxK
U2 - 10.1145/3292522.3326010
DO - 10.1145/3292522.3326010
M3 - Conference contribution
AN - SCOPUS:85069468258
T3 - WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science
SP - 373
EP - 382
BT - WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science
Y2 - 30 June 2019 through 3 July 2019
ER -