"What If My Face Gets Scanned Without Consent": Understanding Older Adults' Experiences with Biometric Payment

Biometric payment, i.e., biometric authentication implemented in digital payment systems, can reduce memory demands and streamline payment for older adults. However, older adults’ perceptions and practices regarding biometric payment remain underexplored. We conducted semi-structured interviews with 22 Chinese older adults, including both users and non-users. Participants were motivated to use biometric payment due to convenience and perceived security. However, they also worried about loss of control due to its password-free nature and expressed concerns about biometric data security. Participants also identified desired features for biometric payment, such as lightweight and context-aware cognitive confirmation mechanisms to enhance user control. Based on these findings, we outline recommendations for more controllable and informative digital financial services that better support older adults.

💡 Research Summary

This paper investigates older adults’ experiences with biometric payment—specifically facial‑recognition and fingerprint authentication—through semi‑structured interviews with 22 Chinese seniors, both users and non‑users. The authors frame the study around four research questions: (RQ1) motivations for adoption, (RQ2) perceived concerns, (RQ3) protective behaviors, and (RQ4) desired improvements.

Key motivations identified include convenience (eliminating the need to remember passwords or PINs), perceived security (biometric traits are unique and harder to steal than cards), social influence (children’s recommendations, peers’ usage), and system‑generated prompts (notifications from apps or smartphones that remind users a payment can be made). These align with prior work on younger populations but are especially salient for older adults who often experience memory decline and difficulty managing physical payment instruments.

Despite these benefits, participants voiced strong concerns. The most prominent is a sense of lost control because the process is “password‑free”; users cannot explicitly confirm that they authorized a transaction. Privacy and security worries also dominate: fear of biometric data leakage, spoofing attacks, and the possibility that a face could be scanned without consent. The “what if my face gets scanned without consent?” question encapsulated this anxiety and highlighted a demand for consent‑based data handling.

To mitigate perceived risks, older adults reported a range of protective behaviors. They limit biometric data exposure by using personal devices rather than public kiosks, set transaction limits, keep a backup password/PIN for emergencies, and sometimes revert to cash or card payments for high‑value transactions. These strategies illustrate a risk‑benefit balancing act and suggest that design should provide clear opt‑out mechanisms and user‑controlled settings.

When asked about improvements, participants suggested several concrete design directions. First, lightweight cognitive confirmation mechanisms—such as voice commands, simple gestures, or eye‑movement cues—could give users an explicit “I approve” signal before the payment is finalized. Second, context‑aware authentication that adjusts the level of confirmation based on transaction amount, location, or time (e.g., low‑value purchases proceed automatically, high‑value purchases require an extra voice prompt). Third, transparent feedback and education: real‑time visual or auditory cues indicating the stage of the transaction, where biometric data are stored, and what security measures are in place. Finally, options to delete or refresh biometric templates give users a sense of data ownership.

Methodologically, the study employs thematic coding of interview transcripts, yielding four major themes that map directly onto the research questions. While the sample size is modest and limited to China, the inclusion of both urban and rural participants, as well as users and non‑users, provides a balanced view of the older population’s attitudes. The authors acknowledge that future work should combine qualitative insights with quantitative usage logs, test prototype implementations of the proposed design features, and explore cross‑cultural variations.

In conclusion, the paper demonstrates that older adults recognize the convenience of biometric payment but remain wary of losing agency and exposing their immutable biometric traits. Effective design for this demographic must therefore prioritize user control, provide context‑sensitive confirmation steps, and ensure transparent communication about data handling. By addressing these concerns, biometric payment systems can become more inclusive, fostering broader digital financial participation among older adults.