Demos
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.
Any written support materials may be distributed locally but not published in the proceedings. Authors who already present a paper at the conference may apply for a demonstration, to complement but not to replace their paper presentation. Demonstrations can also be made by sponsor companies or as a mixed initiative involving researchers and industrial partners.
Demonstrations are based on an informal setting that encourages presenters and participants to engage in discussions about the presented work. This is an opportunity for the participants to disseminate practical results of their research and to network with other applied researchers or business partners.
Concerning the format of the demo, we can accommodate it either as a demonstration in a booth (physical area of 4 sq. meter, with a table and 2 chairs) at the exhibition area, as a poster or as a 20 min oral presentation at a session especially set up for demonstrations. It is also possible to organize the presentation of the same demo in more than one format.
Please contact the
event secretariat.
Improved Nightclub Experiences with CALASC (Crowd And Load Aware SmartClub)
Lecturer
|
Margaret Grasse
Northwestern University
United States
|
|
|
|
Brief Bio
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.
|
Abstract:
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.