Alexander J. Quinn
Computer Science · Purdue University West Lafayette
Publications
32
Citations
1,603
Est. group size
—
Recurring co-author estimate
Active years
20
Publishing since 2006
Alexander J. Quinn's research focuses on how people interact with online crowdsourcing platforms and emerging technologies like virtual and augmented reality. A recurring theme is improving how task instructions are written and understood, both to reduce ambiguity for crowd workers and to support AI-generated augmented reality guidance. His publication record also includes some unrelated work on economics (information disclosure) and physics, suggesting a body of work drawn from varied collaborations rather than a single narrow specialty.
Publication output has been fairly steady at 2-3 papers per year for most of the last decade, with a gap in 2024 followed by a rebound in 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- 360 Video Viewing with Virtual Reality Headsets: Connecting User Head Movements to Intentions
2025
- CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence
arXiv (Cornell University) · 2025
- TaskLint: Automated Detection of Ambiguities in Task Instructions
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · 2022
- Photon scattering rates in trapped ion qubits
2022
- Task Design for Crowdsourcing Complex Cognitive Skills
2021
- Pterodactyl: Two-Step Redaction of Images for Robust Face Deidentification
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · 2021
- Internet Based Curriculum Innovation In Information Engineering And E Business: The Integrated Curriculum Delivery System
2020
- Contributions Of Cognitive Engineering Methods To Engineering Education
2020
- TaskMate: A Mechanism to Improve the Quality of Instructions in Crowdsourcing
2019
- Incomplete Disclosure: Evidence of Signaling and Countersignaling
American Economic Journal Microeconomics · 2018
- WingIt: Efficient Refinement of Unclear Task Instructions
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · 2018
- Replication data for: Incomplete Disclosure: Evidence of Signaling and Countersignaling
ICPSR Data Holdings · 2018
- Confusing the Crowd: Task Instruction Quality on Amazon Mechanical Turk
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · 2017
- BlueSky
2017
- Incomplete Disclosure: Evidence of Signaling and Countersignaling
National Bureau of Economic Research · 2016
- Proceedings of the AAAI Conference on Human Computation and Crowdsourcing×4
- arXiv (Cornell University)×2
- American Economic Journal Microeconomics×1
- Procedia Manufacturing×1
- IEEE Robotics and Automation Letters×1
- Shu Li
Computer Science · Purdue University West Lafayette
- Mary L. Gray
Computer Science · Indiana University
- Japneet Singh
Computer Science · Purdue University West Lafayette
- Lü Su
Computer Science · Purdue University West Lafayette
- Xiaoni Duan
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile