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CHI '26 · Honorable mention · full-paper review · confidence medium

Experiencer, Helper, or Observer: Online Fraud Intervention for Older Adults Through a Role-based Simulation Approach

Yue Deng , Xiaowei Chen , Junxiang LIAO , Bo Li , Yixin Zou

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This is a clear CHI-style intervention paper: it takes a familiar education problem and reframes it through role-based simulation rather than victim-only instruction. The contribution looks strongest as a design and empirical finding package, with the abstract supporting a controlled evaluation in a specific older-adult population.

Axes Lens

Rare contribution shape, typical evidence profile. The point here is not a score. It is to show what kind of claim the paper makes, and whether the evidence pattern is unusual or baseline in this 268 -review set.

Review Summary

From the evidence available here, the paper’s main value is not a new fraud-detection algorithm or a technical system, but a rethinking of how anti-fraud education is structured for older adults. The abstract makes a plausible and coherent case that prior instruction has been static and victim-centered, while fraud encounters themselves involve multiple social positions. ROLESafe’s three roles—Experiencer, Helper, and Observer—are therefore a meaningful design move because they broaden the learner’s perspective and create a low-risk simulation environment for practice. The strongest grounded claim is the controlled evaluation: a between-subjects study with 144 older adults in China, where Experiencer and Helper improved fraud-identification ability. That supports the paper as an empirical finding plus intervention framework contribution. At the same time, the evidence packet is thin on methodological detail and does not provide an extractable limitations section, so the review should stay cautious about generalization. In particular, the results are bounded to the reported population and setting, and the abstract does not justify claims about long-term behavior change, real-world fraud resistance, or cross-cultural portability. Overall, this reads as a solid CHI honorable-mention type contribution: conceptually simple, socially relevant, and backed by a reasonably sized experiment, but with limited evidence in the packet for broader claims beyond the reported study. The safest interpretation is that ROLESafe demonstrates a promising educational framing, not a universally validated anti-fraud solution.

What Changed

Canon before

Prior anti-fraud education for older adults has largely relied on static, traditional instruction and often frames learners only as victims, which narrows engagement and misses the social roles people actually occupy during fraud encounters.

Departure from common sense

The intervention departs from the usual victim-only framing by using role-based simulation with multiple learner roles, including Experiencer, Helper, and Observer, to model fraud encounters from different perspectives.

Actual novelty

ROLESafe’s novelty is the explicit combination of Experiencer, Helper, and Observer roles in an anti-fraud educational intervention for older adults, aiming to reflect victim, helper, and bystander positions within fraud encounters while preserving a low-risk practice setting.

Evidence

The abstract states that the authors developed ROLESafe with three learning roles and evaluated it in a between-subjects study with 144 older adults in China. The reported outcome is that the Experiencer and Helper roles significantly improved participants’ ability to identify online fraud. The available packet does not expose a detailed limitations section, so the review should treat broader claims cautiously and keep the evidence tied to the reported study context.

Limits

Method limits

The provided evidence supports a between-subjects evaluation and a specific outcome on fraud identification, but the available packet does not include methodological detail beyond the abstract-level summary. That means the design, measures, and statistical robustness cannot be assessed from the supplied sections alone.

Deployment limits

The evidence only supports older adults in China and does not establish transfer to other populations, cultures, or deployment settings. Any real-world deployment claim should therefore remain limited to the reported educational context and participant group.

Boundary conditions

The reported benefit is tied to the Experiencer and Helper roles in a controlled study context; the abstract does not claim uniform benefit across all roles or contexts, and the Observer role is not reported as significantly improving identification.

Manual check: true

Position in field

This paper sits in anti-fraud education and older-adult safety, extending prior static instruction toward role-based, multi-perspective simulation for awareness and identification training. Its contribution is best read as a CHI intervention framework plus empirical evaluation rather than a technical fraud-detection system.

Abstract

Online fraud is a critical global threat that disproportionately targets older adults. Prior anti-fraud education for older adults has largely relied on static, traditional instruction that limits engagement and real-world transfer, whereas role-based simulation offers realistic yet low-risk opportunities for practice. Moreover, most interventions situate learners as victims, overlooking that fraud encounters often involve multiple roles, such as bystanders who witness scams and helpers who support victims. To address this gap, we developed ROLESafe, an anti-fraud educational intervention in which older adults learn through different learning roles, including Experiencer (experiencing fraud), Helper (assisting a victim), and Observer (witnessing fraud). In a between-subjects study with 144 older adults in China, we found that the Experiencer and Helper roles significantly improved participants' ability to identify online fraud. These findings highlight the promise of role-based, multi-perspective simulations for enhancing fraud awareness among older adults and provide design implications for future anti-fraud education.