Innovation in response systems has evolved over time, moving away from hardware that requires extensive wiring to achieve network connectivity. There has been an increasing demand for clickers, a handheld remote control device, used to convey responses to questions. However, clicker-based audience response systems have been difficult to use and deploy. In today’s mobile-centric world, an individual with a mobile device has access to infinite opportunities. This study aims to utilize mobile technology to enable members of the audience to respond to questions through their mobile devices instead of additional hardware, which is inconvenient and expensive. This mobile application provides presenters with an important analytics tool that would help process identified aspects, based on participants’ responses, with illustrated graphs and identify the most frequent items with minimal user time and effort using Misra-Gries algorithm.
CITATION STYLE
Doniza, S. Y. (2019). Improving trend analysis utilizing misra-gries algorithm of user responses acquired from an audience response system. In EAI/Springer Innovations in Communication and Computing (pp. 297–308). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-93491-4_15
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