Proctoring Online Exam Using Eye Tracking

被引：0

作者：

Yaqub, Waheeb ^{[1
,2
]}

Mohanty, Manoranjan

Suleiman, Basem ^{[3
]}

机构：

[1] Univ Sydney, Sch Comp Sci, Sydney, NSW, Australia

[2] Univ Technol Sydney, Ctr Forens Sci, Sydney, NSW, Australia

[3] Univ New South Wales, Sch Comp Sci & Engn, Sydney, NSW, Australia

来源：

PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE ON SECURITY AND CRYPTOGRAPHY, SECRYPT 2023 | 2023年

关键词：

Online Teaching; Online Proctoring; Student's Privacy;

D O I：

10.5220/0012120600003555

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Online proctoring is required for online teaching. Typically, third-party video-based crowd-sourced online proctoring solutions are being used for monitoring exam-takers (e.g., students). This approach, however, has privacy concerns as an exam-taker's face is shown to the third-party provider. In this paper, we propose to address this concern using face hiding, and then monitoring the face hidden exam takers via eye (gaze) tracking. The eye tracking is used to detect if the exam-taker is reading from computer screen, e.g., from ChatGPT. The face is hidden by exposing the eyes such that eye tracking is possible.

引用

页码：738 / 745

页数：8

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