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In this paper, we will first explain the FS (familiarity and strangeness) model as a requirement for attracting people's attention and bringing about analogical thinking. After introducing the idea of shikake (triggers for behavior change) and its requirements, we propose the inclusion of the FS model as an attribute of MoDAT in order to encourage MoDAT participants to come up with new shikake ideas.
Advanced statistics have proved to be a crucial tool for basketball coaches in order to improve training skills. Indeed, the performance of the team can be further optimized by studying the behaviour of players under certain conditions. In the United States of America, companies such as STATS or Second Spectrum use a complex multi-camera setup to deliver advanced statistics to all NBA teams, but the...
Online data provide a way to monitor how users behave in social systems like social networks and online games, and understand which features turn an ordinary individual into a successful one. Here, we propose to study individual performance and success in Multiplayer Online Battle Arena (MOBA) games. Our purpose is to identify those behaviors and playing styles that are characteristic of players with...
In recent years, companies and non-profit organizations are increasingly leveraging crowdsourcing platforms to seek novel solutions to data-driven problems. Crowdsourcing innovation problems to the data science community frequently take the form of public contests. Existing literature studied the mechanism and design of open innovation contests. However, the data science contests have a number of...
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