an article Eliane Bucher and Christian Fieseler (BI Norwegian Business School, Norway) published in New Media & Society Volume 19 Issue 11 (November 2017)
Abstract
Digital microwork is a type of labor that many – typically poorly paid – workers engage in. In our research, we focus on an experience-based model of digital labor and the nonmonetary benefits derived from such activities.
Based on a survey of 701 workers at Amazon Mechanical Turk, we demonstrate that experiences during digital labor sequences generate flow-like states of immersion. We show that reaching flow-like states while performing microwork depends on certain work characteristics, such as the particular worker’s degree of autonomy, the extent to which a worker’s skills are utilized, and the apparent significance of and feedback derived from the task.
The results both highlight the importance of flow-like immersion in explaining why individuals engage in digital labor projects and point to avenues that can lead to the design of better digital work experiences.
Showing posts with label task_characteristics. Show all posts
Showing posts with label task_characteristics. Show all posts
Friday, 24 November 2017
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