(Blind) Users Really Do Heed Aural Telephone Scam Warnings
Filipo Sharevski, Jennifer Vander Loop, Bill Evans, Alexander Ponticello
摘要
This paper reports on a study exploring how two groups of individuals, legally blind (n=36) and sighted ones (n=36), react to aural telephone scam warnings in naturalistic settings. As spoofing a CallerID is trivial, communicating the context of an incoming call instead offers a better possibility to warn a receiver about a potential scam. Usually, such warnings are visual in nature and fail to cater to users with visual disabilities. To address this exclusion, we developed an aural variant of telephone scam warnings and tested them in three conditions: baseline (no warning), short warning, and contextual warning that preceded the scam's content. We tested the two most common scam scenarios: fraud (interest rate reduction) and identity theft (social security number) by coldcalling participants and recording their action, and debriefing and obtaining consent afterward. Only two participants "pressed one" as the scam demanded, both from the legally blind group that heard the contextual warning for the social security scenario. Upon close inspection, we learned that one of them did so because of accessibility issues with their screen reader and the other did so intentionally because the warning convinced them to waste the scammer's time, so they don't scam vulnerable people. Both the legally blind and sighted participants found the contextual warnings as powerful usable security cues that, together with STIR/SHAKEN indicators like Scam Likely, would provide robust protection against any type of scam. We also discussed the potential privacy implications of the contextual warnings and collected recommendations for usably accessible implementation.
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它引用的顶会 Paper12
- SoK: Everyone Hates Robocalls: A Survey of Techniques Against Telephone SpamHuahong Tu, Adam Doupé, Ziming Zhao, Gail-Joon AhnS&P 2016 · 被引用 90 次
- Users Really Do Answer Telephone ScamsHuahong Tu, Adam Doupé, Ziming Zhao, Gail-Joon AhnUSENIX Security 2019 · 被引用 53 次
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- Different Researchers, Different Results? Analyzing the Influence of Researcher Experience and Data Type During Qualitative Analysis of an Interview and Survey Study on Security AdviceAnna-Marie Ortloff, Matthias Fassl, Alexander Ponticello, Florin Martius 等CHI 2023 · 被引用 38 次
- Robocalling: STIRRED AND SHAKEN! - An Investigation of Calling Displays on Trust and Answer RatesGregory W. Edwards, Michael J. Gonzales, Marc A. SullivanCHI 2020 · 被引用 7 次
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