Selecting Gestural User Interaction Patterns for Recommender Applications on Smartphones

Modern smartphones allow for gestural touchscreen and free-form user interaction such as swiping across the touchscreen or shaking the device. However, user acceptance of motion gestures in recommender systems have not been studied much. In this paper, the authors investigated the usage of gestural interaction patterns for mobile recommender systems. They designed a prototype that implemented at least two input methods for each available function: standard on-screen buttons or menu options, and also a gestural interaction pattern. In a user study, they then compared what input method users would choose for a given function.

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Association for Computing Machinery