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Mining for gold (and platinum): PlayStation network data mining
conference contribution
posted on 2023-05-23, 11:26 authored by Lindsay WellsLindsay Wells, Cauchi-Saunders, A, Ian LewisIan Lewis, Monsif, L, Geelan, B, Kristy de SalasKristy de SalasAchievements are a common feature of modern video games. Early research efforts have attempted to classify achievements into taxonomies in order to identify achievement types and to learn about their potential affect on players, however, these studies have been constrained by small, manually collected samples of player data. This study describes a novel method of overcoming the lack of publicly-available achievement data, by scraping the PlayStation Network (PSN) for player profiles, including player achievement lists and progress in order to allow for a more informed analysis of players and their activities. Results of the application of this method have allowed us to source 30,227 player profiles, and subsequently learn that a number of factors can influence the earning of achievements, including PlayStation Plus subscriptions, player regions, and individual game achievement counts. We also present a wide range of future research applications which make use of this system to augment other existing datasets such as achievement taxonomies, sales figures, and review aggregators.
History
Publication title
Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play (CHI PLAY 2016)Editors
RL Mandryk and P CairnsPagination
304-312ISBN
978-1-4503-4456-2Department/School
School of Psychological SciencesPublisher
Association for Computing MachineryPlace of publication
New York, New YorkEvent title
3rd Annual Symposium on Computer-Human Interaction in Play (CHI PLAY 2016)Event Venue
Austin, TexasRights statement
Copyright the AuthorRepository Status
- Restricted