Trending factor: cálculo de sucesso mercadológico aplicado ao game design.
The Electronic Games market and it’s derivatives, features annually billions of dollars and encompasses several trades, in which the Game Designer is inserted. The current work aims to assist such professionals in independent (indie) companies to survive in the competitive market with titles (gam...
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Formato: | bachelorThesis |
Idioma: | pt_BR |
Publicado em: |
Universidade Federal do Rio Grande do Norte
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Endereço do item: | https://repositorio.ufrn.br/handle/123456789/47446 |
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Resumo: | The Electronic Games market and it’s derivatives, features annually billions of
dollars and encompasses several trades, in which the Game Designer is inserted. The current
work aims to assist such professionals in independent (indie) companies to survive in the
competitive market with titles (games) optimized through calculations created considering the
taxonomization and analysis of more than a hundred of the best and worst titles from specified
years according to the need of the research, along with the application of a determinant factor
of similar patterns, assigned with the name of "Trending Factor". After application of specific
taxonomy, analysis and Trending Factor calculation of 5 years for the years of 2012 to 2016,
market forecasts were made for application in Game Design related to 2017 titles, leading to
direct comparisons between such and titles released by independent companies to establish
pattern confirmation or failures that can be optimized for more efficient forecasts. The process
revealed similar patterns between the predictions and featured or awarded titles in 2017,
demonstrating the relevance of results and the growing need to improve the data used to
generate calculations. By prioritizing the replication of the taxonomy used in similar bases and
also acting on it’s own database generated from a specific website for this purpose only,
resources reguarding User Interface Design were studied and implemented to make it possible
for a joint operation between users and moderators to ascertain the accuracy of submitted data
that will be used in future researches. |
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