Print Email Facebook Twitter Investigating Feasibility of Webcam-Based Eye-Tracking as an Alternative Input Modality for Micro-Task Work Title Investigating Feasibility of Webcam-Based Eye-Tracking as an Alternative Input Modality for Micro-Task Work Author Struijk, Dave (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 2022-06-22 Abstract People who perform work on micro-task crowdsourcing platforms, often do so using a mouse and/or keyboard for many hours at a time, while alternative modes of input could potentially provide a better experience. This research investigates the feasibility of using webcam-based eye-tracking in a micro-task work environment. We accomplish this by setting up a user study (n = 20), where participants are asked to perform a series of image classification tasks using either a mouse or just their eyes. Overall, results show that participants using a webcam are generally able to complete the tasks adequately. However, they perform somewhat slower and less accurate, and are less content with their overall experience. Based on our results, we suggest that there are still limitations to overcome when applying webcam-based eye-tracking to micro-tasks. Subject webcam gaze trackingCrowdsourced datamicro-taskseye-tracking To reference this document use: http://resolver.tudelft.nl/uuid:ce4435b4-02b5-4a50-b4c1-d3d0d738a4b2 Bibliographical note https://github.com/daveystruijk/cse3000 User study implementation & analysis (code). Part of collection Student theses Document type bachelor thesis Rights © 2022 Dave Struijk Files PDF Research_Paper_Eye_Tracki ... _Final.pdf 1.96 MB Close viewer /islandora/object/uuid:ce4435b4-02b5-4a50-b4c1-d3d0d738a4b2/datastream/OBJ/view