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In smart environments, fast passive transaction authorization is a key requirement for routine, recurring transactions. In our earlier work technical feasibility of multimodal multidevice system based on context-aware payment authorization model has been proved. Its main features are: passive user identification with face recognition followed by multi-criteria selection of transaction authorization methods, which jointly modify traditional customer service procedure. In the presented work, real-world evaluation of the new approach based on proposed multimodal payment authorization is described. Empirical tests at existing point of sale have been performed, the usage data have been collected, statistically analyzed and confronted with formulated research hypotheses. The research goal is to determine to what extent the approach simplifies payment process assuming the security level required for a given context is maintained. The evaluation confirms that proposed approach can be effective in a real environment.

Face-based Passive Customer Identification Combined with Multimodal Context-aware Payment Authorization: Evaluation at Point of Sale