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JunkCorp: A Narrative Task Framing Approach to Gamified Citizen Science

Authors

; ;

Term

4. term

Education

Publication year

2023

Submitted on

Pages

12

Abstract

This paper reports our findings regarding the potential of narrative task framing as a motivator in citizen-science projects dealing with image segmentation and annotation tasks. Research showed there to be an informational gap in direct comparisons between point-based gamification and a narrative approach in the context of citizen science. Therefore, we developed two versions of a singular mobile application to investigate user motivation while completing the task of annotating images of litter. One version with only point-based gamification elements and one with the task diegetically integrated into a storyline. The application was developed using Unity, with Android as the target platform. The JunkCorp Version of the application allows users to submit annotations while following a story and freely continue contributing once the story has been completed. Features like a leaderboard, progress bars, and group tasks, based on research into gamification and user motivation as well as early user feedback, were implemented into both versions of the application. The application was evaluated using the User Motivation Inventory, the Gameful Experience Questionnaire (GAMEFULQUEST), and qualitative feedback from interviews with our users. Our results showed an increase in intrinsic, identified and integrated regulation for the users of the JunkCorp Version. However, our analysis showed no statically significant relation between user motivation and the version of the application. These results suggest that narrative task framing could help retain motivation in scientific tasks. More research on the area, testing with more participants, and different implementations of narrative task framing are needed to determine its true potential as an intrinsic motivator.

This paper reports our findings regarding the potential of narrative task framing as a motivator in citizen-science projects dealing with image segmentation and annotation tasks. Research showed there to be an informational gap in direct comparisons between point-based gamification and a narrative approach in the context of citizen science. Therefore, we developed two versions of a singular mobile application to investigate user motivation while completing the task of annotating images of litter. One version with only point-based gamification elements and one with the task diegetically integrated into a storyline. The application was developed using Unity, with Android as the target platform. The JunkCorp Version of the application allows users to submit annotations while following a story and freely continue contributing once the story has been completed. Features like a leaderboard, progress bars, and group tasks, based on research into gamification and user motivation as well as early user feedback, were implemented into both versions of the application. The application was evaluated using the User Motivation Inventory, the Gameful Experience Questionnaire (GAMEFULQUEST), and qualitative feedback from interviews with our users. Our results showed an increase in intrinsic, identified and integrated regulation for the users of the JunkCorp Version. However, our analysis showed no statically significant relation between user motivation and the version of the application. These results suggest that narrative task framing could help retain motivation in scientific tasks. More research on the area, testing with more participants, and different implementations of narrative task framing are needed to determine its true potential as an intrinsic motivator.