Safeguarding inclusion when using gestures in microtask crowdsourcing

Bachelor Thesis (2022)
Author(s)

S.H. Veringa (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Garrett Allen – Mentor (TU Delft - Web Information Systems)

U.K. Gadiraju – Mentor (TU Delft - Web Information Systems)

JA Pouwelse – Graduation committee member (TU Delft - Data-Intensive Systems)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2022 Sanne Veringa
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Sanne Veringa
Graduation Date
24-06-2022
Awarding Institution
Delft University of Technology
Project
CSE3000 Research Project
Programme
Computer Science and Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
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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.

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