Interaction with personalized data on a large public display represents a sensitive scenario: first, users expose the fact of interaction in public; and, personalized data may be private. In this work we investigate how interaction design can support the user in such a scenario. Through experimentation, we compare three interaction techniques: direct, bodily, and mobile-based. We report on the users' preferences with the presented techniques at different interaction phases (identification,

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... ation, and collecting results). We analyze how user preferences in the personalized display scenario are similar or different to other scenarios, such as interaction with physical objects or nonpersonalized public displays. The analysis is summarized in a form of design recommendations that should be considered when designing for interaction with personalized public displays.