When dealing with a digital service, it is often necessary to compare hashes manually to certify the integrity of data. This study evaluates two alternative encodings - emoji sequences and word sequences - to improve the usability of integrity checks. We conducted a web-based user study to assess participants’ ability to recognize attacks, collecting insights from both a pilot test and then a main test. Results show that users achieved over 70% accuracy in anomaly detection, demonstrating the potential of these encodings to enhance verifiability while maintaining usability.
E-Voting with Confidence: Usability Challenges in Manual Integrity Checks
Brunello, Simone;Cristiano, Laura;Longo, Riccardo
;Spadafora, Chiara
2025-01-01
Abstract
When dealing with a digital service, it is often necessary to compare hashes manually to certify the integrity of data. This study evaluates two alternative encodings - emoji sequences and word sequences - to improve the usability of integrity checks. We conducted a web-based user study to assess participants’ ability to recognize attacks, collecting insights from both a pilot test and then a main test. Results show that users achieved over 70% accuracy in anomaly detection, demonstrating the potential of these encodings to enhance verifiability while maintaining usability.File in questo prodotto:
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