Supporting Aging Well through Accessible Digital Games: The Supplemental Role of AI in Game Design for Older Adults
Brandon Lyman, Yichi Zhang, Celia Pearce, Miso Kim, Casper Harteveld, Leanne Chukoskie, Bob De Schutter

TL;DR
This paper explores how AI can create personalized accessibility features in digital games to better support the diverse needs of older adults, promoting healthier aging through engaging gameplay.
Contribution
It introduces AI-driven player-specific accessibility features as a novel approach to address heterogeneity among older adult gamers, supplementing traditional methods.
Findings
AI can adapt game features to individual accessibility needs.
Personalized features improve engagement and inclusivity for older players.
Guidelines for integrating AI-based accessibility in game design.
Abstract
As the population continues to age, and gaming continues to grow as a hobby for older people, heterogeneity among older adult gamers is increasing. We argue that traditional game-based accessibility features, such as simplified input schemes, redundant information channels, and increased legibility of digital user interfaces, are increasingly limited in the face of this heterogeneity. This is because such features affect all older adult players simultaneously and therefore are designed generically. We introduce artificial intelligence, although it has its own limitations and ethical concerns, as a method of creating player-based accessibility features, given the adaptive nature of the emerging technology. These accessibility features may help to address unique assemblage of accessibility needs an individual may accumulate through age. We adopt insights from gerontology, HCI, and…
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Taxonomy
TopicsTechnology Use by Older Adults · Innovative Human-Technology Interaction · Aging and Gerontology Research
