Understanding End-User Perception of Transfer Risks in Smart Contracts

要旨

Blockchain smart contracts are increasingly used in critical use cases (e.g., financial transactions). Thus, it is pertinent to ensure that their end-users understand risks in attempting token transfers. Addressing this, we investigate end-user comprehension of five transfer risks (e.g. the end-user being blacklisted) in the most popular Ethereum contract, USD Tether (USDT), and their prevalence in other top ERC-20 contracts. First, we conducted a user study investigating end-user comprehension of transfer risks in USDT with 110 participants. Second, we performed source code analysis of the next top (78) ERC-20 smart contracts to identify the prevalence of these risks. Study results show that the majority of end-users do not comprehend some real risks, and confuse real and fictitious risks. This holds regardless of participants’ self-rated programming and Web3 proficiency. Source code analysis demonstrates that examined risks are prevalent in up to 19.2% of the top ERC-20 contracts.

著者
Yustynn Panicker
Singapore University of Technology and Design, Singapore, Singapore
Ezekiel Soremekun
Singapore University of Technology and Design, Singapore, Singapore
Sudipta Chattopadhyay
Singapore University of Technology and Design, Singapore, Singapore
Sumei Sun
Institute for Infocomm Research, A*STAR, Singapore, Singapore
DOI

10.1145/3706598.3713887

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713887

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Perception of Systems

G401
5 件の発表
2025-04-29 18:00:00
2025-04-29 19:30:00
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