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Steve Rubin


Publications by Steve Rubin (bibliography)

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Mittal, Manas, Wu, Wei, Rubin, Steve, Madden, Sam and Hartmann, Bjorn (2012): Bribecaster: documenting bribes through community participation. In: Companion Proceedings of ACM CSCW12 Conference on Computer-Supported Cooperative Work 2012. pp. 171-174. http://dx.doi.org/10.1145/2141512.2141570

Corruption is endemic in many emerging economies -- many transactions of private citizens with government institutions require payment of bribes. While well known as a general phenomenon, specific data about the "bribe economy" are hard to come by. But such data are needed for rational responses to corruption at the societal and individual level -- to expose it; to know which offices to avoid; or to know how much to pay if other recourse is not available. In response to a corruption survey of 102 Indian participants we are developing Bribecaster, a mobile application that enables citizen collection and curation of corruption data. A key research question is how to create a system that has accurate data while simultaneously protecting users from repercussions of having their identities revealed.

© All rights reserved Mittal et al. and/or ACM Press

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Rubin, Steve, Berthouzoz, Floraine, Mysore, Gautham, Li, Wilmot and Agrawala, Maneesh (2012): UnderScore: musical underlays for audio stories. In: Proceedings of the 2012 ACM Symposium on User Interface Software and Technology 2012. pp. 359-366. http://dx.doi.org/10.1145/2380116.2380163

Audio producers often use musical underlays to emphasize key moments in spoken content and give listeners time to reflect on what was said. Yet, creating such underlays is time-consuming as producers must carefully (1) mark an emphasis point in the speech (2) select music with the appropriate style, (3) align the music with the emphasis point, and (4) adjust dynamics to produce a harmonious composition. We present UnderScore, a set of semi-automated tools designed to facilitate the creation of such underlays. The producer simply marks an emphasis point in the speech and selects a music track. UnderScore automatically refines, aligns and adjusts the speech and music to generate a high-quality underlay. UnderScore allows producers to focus on the high-level design of the underlay; they can quickly try out a variety of music and test different points of emphasis in the story. Amateur producers, who may lack the time or skills necessary to author underlays, can quickly add music to their stories. An informal evaluation of UnderScore suggests that it can produce high-quality underlays for a variety of examples while significantly reducing the time and effort required of radio producers.

© All rights reserved Rubin et al. and/or ACM Press

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