The recent boom in recurring digital payments platforms, exemplified by India's UPI AutoPay, has led to the rise of subscription "dark patterns". Current industry practice of reactive fraud alerts and informational banners has proven ineffective in preventing "authorized but unwanted" subscription traps, due to the combination of user alert fatigue and low cost salience. This paper proposes a novel Direct-Action Proactive Notification Framework that evaluates subscription risk at the point of payment and takes action to re-establish payment transparency. The technical architecture comprises of a real-time DOM scanner with regex capabilities, a risk scoring engine that continuously evaluates mandate terms, and a high-salience webhook stack that generates direct-action push notifications at the operating system level. A user study with N = 100 participants was conducted to evaluate the effectiveness of this approach on two cohorts: Cohort A (N=n = 50), comprising users with low digital literacy (digital immigrants, age ≥46), and Cohort B (N=n = 50), representing digitally native users (age 18-25). The results demonstrate that the proposed direct-action prompt outperformed standard SMS alert by a significant margin. The subscription mandate revocation success rate increased from 14.0% in the control group to 92.0% in the treatment group. On average, users took 72.5% less time to respond to the direct-action push notification (45.2s → 12.4s). The average self-reported anxiety level on a STAI scale decreased from 3.2 (high anxiety) to 1.8 (low anxiety) for the treatment group. The percentage of users that forgot to cancel the subscription dropped from 56.0% to 4.0%. The study's unique contribution is to make subscription termination a behavioral economics problem rather than a consumer protection law enforcement issue by designing an automatic cost salience re-establishment mechanism.
Download PDF