# The Impact of Multidimensional Warning Messages on Payment Security Behavior Across Different Scenarios

## TL;DR

This study explores how different warning messages in mobile payments affect user behavior and decision-making, especially in high-risk scenarios.

## Contribution

The study introduces a multidimensional approach to warning message design, using eye-tracking to reveal how color and message type influence user caution.

## Key findings

- Warning messages significantly increase reaction times, indicating more cautious decision-making.
- Red warnings and imperative semantics lead to higher transfer rejection rates, especially in high-risk contexts.
- Eye-tracking reveals attentional mechanisms influenced by warning design features.

## Abstract

To ensure the security of mobile payments, anti-fraud warning messages serve as a critical defensive interface between users and potential risks. The effectiveness of their design directly influences users’ risk perceptions and security-related behaviors. The present study employed eye-tracking technology to examine the effectiveness of warning messages in mobile payment transfer scenarios and the impact of specific warning design features on user decision-making. Experiment 1 utilized a 2 (warning message: present vs. absent) × 3 (potential risk level: high, medium, low) within-subject design to test the fundamental role of warning message presence. Results indicated that the presence of warning messages significantly prolonged participants’ reaction times when selecting the transfer option, suggesting a more cautious decision-making process. Building on Experiment 1, Experiment 2 employed a 2 (warning color: red vs. blue) × 2 (warning semantic type: imperative vs. reminder) × 3 (potential risk level: high, medium, low) within-subject design and incorporated eye-tracking technology to investigate the effects of these design variables and underlying attentional mechanisms. Red warnings and imperative semantics were both found to significantly increase the likelihood of transfer rejection, with these design advantages being particularly pronounced in high-risk contexts. These findings provide empirical evidence to guide mobile payment platforms in optimizing dynamically adaptive, context-sensitive anti-fraud warning designs.