Designing Ethical Nudges: Aesthetic Principles for Trustworthy AI Marketing

Abstract

Objective: This study investigates the design and effectiveness of ethical nudges in AI-driven marketing interfaces, examining how minimalist aesthetic principles combined with transparency cues influence consumer trust and engagement.

Methods: A mixed-methods approach employing eye-tracking experiments (N=240) and UX design metrics assessed the effectiveness of ethical nudging mechanisms across three interface conditions: standard AI marketing, minimalist transparent design, and enhanced ethical nudging. Participants engaged with e-commerce platforms while eye-tracking data, trust measures, and behavioral intentions were recorded.

Results: Minimalist interfaces with ethical transparency cues significantly increased consumer trust scores (M=4.21, SD=0.83) compared to standard AI marketing interfaces (M=3.14, SD=1.02), t(238)=8.94, p<.001. Eye-tracking data revealed 34% longer fixation duration on transparency elements and 28% reduction in cognitive load indicators.

Implications: Findings demonstrate that aesthetic minimalism combined with ethical AI disclosure enhances trustworthy marketing relationships while maintaining commercial effectiveness. This research provides empirical foundations for developing ethical guidelines in AI marketing design.