HCSEFeb 25, 2022

Designing Trustworthy User Interfaces

arXiv:2202.12915v115 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the lack of comprehensive guidelines for designing trustworthy user interfaces, which is crucial for enhancing user adoption of software tools, though it appears incremental as it builds on existing trust theory.

The paper tackled the problem of understanding and improving user interface trustworthiness by conducting a systematic literature review to develop a taxonomy of factors and deriving actionable design measures, with a preliminary evaluation showing these measures can effectively foster user trust.

Interface design can directly influence trustworthiness of a software. Thereby, it affects users' intention to use a tool. Previous research on user trust has not comprehensively addressed user interface design, though. We lack an understanding of what makes interfaces trustworthy (1), as well as actionable measures to improve trustworthiness (2). We contribute to this by addressing both gaps. Based on a systematic literature review, we give a thorough overview over the theory on user trust and provide a taxonomy of factors influencing user interface trustworthiness. Then, we derive concrete measures to address these factors in interface design. We use the results to create a proof of concept interface. In a preliminary evaluation, we compare a variant designed to elicit trust with one designed to reduce it. Our results show that the measures we apply can be effective in fostering trust in users.

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