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Investigating Bias through Eye-Tracking in job applicants
Högskolan Väst, Institutionen för ingenjörsvetenskap.
Högskolan Väst, Institutionen för ingenjörsvetenskap.
2023 (Engelska)Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
Abstract [en]

Ethnic discriminations occur in a considerable extent and in various forms in society. There are numerous methods and investigations that have been conducted, performed and that still is in process to work against discriminations both from private sections and governments. Thanks to the great advances and developments of technologies, it is today possible to influence societies for the better using several types of hardware devices and software. Many people feel that there is an injustice in job applicants and in hiring interviews. This thesis is part of a bigger project that was recently started as a research project that was funded by the Swedish Science Foundation in 2021. The goalof the whole project is to see if technology can help in noticing discrimination, (for instance if unnecessary time is spent on the name of the applicant). University west is a project partner with the focus on investigating how the objectivity measure racial bias and how to potentially reduce it by intervening in how documents are perceived while an eye-tracker is collecting eye gazing data from the person viewing the CV. The aim forthis thesis is to provide data that shows how the assessment of a resume is reviewed, the data is supposed to show where the recruiter or the person reviewing the resume is mostly looking at. Even though the project is to counteract discrimination this is about collecting data and it can hopefully help the experts in discrimination to use the data and use it to obstruct this kind of activist from occurring during recruitments. 

Ort, förlag, år, upplaga, sidor
2023. , s. 29
Nyckelord [en]
eye-tracking, job applications
Nationell ämneskategori
Annan elektroteknik och elektronik
Identifikatorer
URN: urn:nbn:se:hv:diva-19747Lokalt ID: EHD500OAI: oai:DiVA.org:hv-19747DiVA, id: diva2:1741523
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Utbildningsprogram
Nätverksteknik
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Tillgänglig från: 2023-04-17 Skapad: 2023-03-06 Senast uppdaterad: 2023-04-17Bibliografiskt granskad

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Totalt: 146 träffar
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