Surveillance and Disability in Online Proctored Exams: Student Perspectives and Design Implications
November 13, 2025 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Monika Blue Kwapisz, Yoav Ackerman, Jennifer Nguyen, Prashanth Rajivan
arXiv ID
2511.10826
Category
cs.HC: Human-Computer Interaction
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Online proctoring systems (OPS) are technologies and services that are used to monitor students during an online exam to deter cheating. However, OPS often violates student privacy by implementing overly intrusive surveillance to which students cannot consent meaningfully. The technologies used in OPS have been shown to unfairly flag students with disabilities. Our reflexive thematic analysis of interviews with students who have first-hand experience with online invigilated exams and who have disability accommodations points to their anxiety about the interaction between surveillance and their disabilities, leading to fears about misrepresentation and increased cognitive load on the exam. Students describe the compromises they need to make with their privacy and accommodations to take remote tests and share their privacy values. We present the implications for the design of OPS to mitigate the issues faced by disabled students.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted