Safeguarding inclusion when using gestures in microtask crowdsourcing

Bachelor thesis (2022)

Authors

S.H. Veringa Electrical Engineering, Mathematics and Computer Science

Contributors

G.M. Allen Web Information Systems - EEMCS (supervisor 1)
Ujwal Gadiraju Web Information Systems - EEMCS (supervisor 1)
J.A. Pouwelse Data-Intensive Systems - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Sanne Veringa
More Info
expand_more

Published Date

24-06-2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Microtask crowdsource workers are negatively influenced, mentally as well as physically, by the repetitive nature of the tasks they perform. Research is ongoing on whether using a gesture-based input technique could mitigate these negative effects. This paper identifies possible ways that using gestures as an alternative input modality could lead to exclusion by analysing survey responses, where n=10. While further research is necessary, there are indications that this could lead to cultural and physical exclusion of certain groups. This paper is not meant to discourage using gestures as an alternative method of input but is solely meant to bring attention to possible risks to take into account.