Word-of-mouth is a persuasive but error-prone and unreliable mode of communicating personally relevant event information in a university environment. In this paper we present a design, early prototype, and the results of preliminary usability tests for Augmented Word-of-mouth Exchange (AWE), a portable system that models and enhances word-of-mouth communications. AWE simulates word-of-mouth exchanges by automatically transmitting accurate and persistent information about community events between physically proximate devices, and by visualizing the popularity of each event. The system uses physical proximity between mobile devices to help users filter incoming information and determine its relevance.
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