Demonstrations provide researchers and practitioners with an exciting and interactive opportunity to present their systems, artifacts and/or research prototypes, either at a regular session or at the technical exhibition. In any case, it is required to avoid a commercial format, even if the demo consists of presenting a business product or service. Instead, the presentation should focus on technical aspects.
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Improved Nightclub Experiences with CALASC (Crowd And Load Aware SmartClub)
Margaret is a third year student at Northwestern University in Evanston, IL, pursuing both her Bachelor of Science and Master of Science in Computer Science. At Northwestern, she is the copresident of the Women in Computing organization. This year, she is cofounding BuildHer, Chicago's first student run women's hackathon. She develops the iOS app for the school's annual music festival, Dillo Day, and is a part of the Design, Technology and Research program out of the Delta Lab. In industry, she completed a software engineering internship on the iOS Safari team at Apple this past summer, and will be returning to intern on the Apple Music Engineering team this upcoming season.
We present an implementation of a prototype system that aims at improving the attendee experience in nightclubs.
Typically, the cornerstone of entertainment in these venues is a DJ, who is charged with playing music the majority of the crowd likes. To enable an improvement of such experiences, our system actively and passively senses the crowd’s emotional response to the current track and, based on this feedback, curates a dynamic setlist to match the crowd’s taste. To improve the clubbing experience, we propose the CALASC (Crowd And Load Aware SmartClub) system which: (1) senses crowd feedback using passive methods and (2) uses the collected sentiment data along with machine learning methods to predict which track the crowd would prefer to hear next.