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DiGRA
Affection games, the digital play centered on kissing, hugging, flirting, and romantic interaction, represent an underexplored genre that this work argues deserves scholarly attention. The analysis frames such games through two lenses: courtship research, which offers strong academic grounding but provides an incomplete practical model for digital play, and Maslow's hierarchy of needs, which positions affection games in the love and belonging tier above survival-oriented arcade titles. Few traditional courtship games have been translated into digital form, and anecdotal reports suggest some adolescents use these games to rehearse kissing before attempting it offline, though systematic evidence for this remains absent.
The catalog-based analysis categorizes affection games by in-game verb and by interaction dynamic, whether digitally contained, facilitated, or communicated. Kissing is the dominant verb, with 209 titles on Google Play and Kongregate in 2015 rising to 264 in 2017, and it is the only verb showing consistent growth on Google Play. The authors speculate that future affection games may shift toward specialized hardware, gesture-based, or robotic interfaces, but after fifteen months of cataloging they had identified no widely published gesture-driven title, suggesting this direction remains largely prospective.
A case study of "Stolen Kisses," a simple mobile affection game released in October 2013, serves as an investigation of player demographics and cross-cultural appeal achieved with minimal development investment. Over roughly three and a half years the game accumulated 42,339 installs, led by the United States (23%), Indonesia (9.2%), and Turkey (4.7%), and earned an average rating of 3 out of 5 from 356 reviewers. The study concludes that affection games constitute a nascent genre with genuine cross-cultural interest and research value. It also attributes the game's decline after March 2016 primarily to store listing and Android compatibility changes rather than waning player interest, though the limited install data is acknowledged as insufficient for strong inferences.
Game Developers Conference · 2020