Print Email Facebook Twitter Investigating Webcam-based Hand-tracking for Navigation in Micro-task Crowdsourcing Title Investigating Webcam-based Hand-tracking for Navigation in Micro-task Crowdsourcing Author El Hilali, Safouane (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Allen, G.M. (mentor) Gadiraju, Ujwal (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2022-06-20 Abstract The health of micro-task crowdsourcing workers, also called crowdworkers, is something that is overlooked in the micro-task crowdsourcing literature. Due to repetitive tasks, they can develop Repetitive Strain Injuries. To look into other ways of navigating Crowdsourcing Work Environments (CSWEs) outside the mouse and keyboard paradigm, we consider webcam-based hand-tracking in this paper. The main question we considered was which hand gestures were most suitable for navigating CSWEs. By having micro-task crowdworkers (n=14) test five methods of navigating CSWEs, we found that gestures which were considered easiest and mostuseful were those that specified a single action in an interface catered to hand-tracking controls. Gestures which attempt to directly replace the mouse in a regular mouse-oriented interface were rated lower on usefulness and ease of use. We also found that most crowdworkers were unlikely to use hand gestures for progressing through related subtasks, since they were considered harder than using the keyboard and mouse. Subject Hand gesturesMicrotask CrowdsourcingHuman-Computer Interaction To reference this document use: http://resolver.tudelft.nl/uuid:eab311c7-3c2f-4803-9e7e-c49e9ca8cc4d Part of collection Student theses Document type bachelor thesis Rights © 2022 Safouane El Hilali Files PDF RP_final_paper_FINAL.pdf 185.33 KB Close viewer /islandora/object/uuid:eab311c7-3c2f-4803-9e7e-c49e9ca8cc4d/datastream/OBJ/view