AUTOMATON: A Gamification Machine Learning Project

View Sample PDF

Author(s): Adam Palmquist (University of Gothenburg, Sweden), Isak Barbopoulos (Insert Coin, Sweden)and Miralem Helmefalk (School of Business and Economics, Sweden)
Copyright: 2023
Pages: 12
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch185

Keywords: Data Analysis and Statistics / Engineering Science Reference / Knowledge Management and Library Science / Machine Learning

Purchase

View AUTOMATON: A Gamification Machine Learning Project on the publisher's website for pricing and purchasing information.

Abstract

This article displays a design ethnographic case study on an ongoing machine learning project at a Scandinavian gamification start-up company. From late 2020 until early 2021, the project produced a machine learning proof of concept, later implemented in the gamification start-up´s application programming interface to offer smart gamification. The initial results show promise in using prediction models to automate the cluster model selection affording more functional, autonomous, and scalable user segments that are faster to implement. The finding provides opportunities for gamification (e.g., in learning analytics and health informatics). An identified challenge was performance; the neural networks required hyperparameter fine-tuning, which is time-consuming and limits scalability. Interesting further investigations should consider the neural network fine-tuning process, but also attempt to verify the effectiveness of the cluster models selection compared with a control group.

The IRMA Community

Research IRM

AUTOMATON: A Gamification Machine Learning Project

Purchase

Abstract

Related Content

IRMA Sponsors