The gamification of generative AI interfaces
Bibliographic Data
| ID | 7150989 |
|---|---|
| Authors | Federico Biggio (0000-0002-9193-4911, Université de Tours, corresponding author) |
| Year | 2026 |
| Volume | 32 |
| Issue | 1 |
| Pages | 111-123 |
| Publication date | 2026-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Convergence The International Journal of Research into New Media Technologies (JOURNAL) |
| Journal identifiers | ISSN: 1354-8565 • E-ISSN: 1748-7382 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/13548565251381468 |
| OpenAlex | W7083304100 |
| Language | EN |
| References cited | 17 |
This article aims to examine the gamification-based engagement strategies embedded in web-based Generative Artificial Intelligence interfaces, drawing on interface and game studies and employing the Octalysis Tool framework (Chou 2016) as a taxonomic instrument. Specifically, it focuses on those strategies that frame AI as a toy, highlighting components, mechanics, and dynamics that resemanticize human–AI interaction in ludic terms. Adopting the perspective of critical media and interface studies, it questions whether a reproachful explanation is legitimate in the case of GAI interfaces. After discussing the inconsistencies of this position, the article proposes two possible directions: the first is comparative in nature, seeking to trace elements of continuity with contemporary media tools; the second is speculative, aiming to emphasize the gap between human–AI interaction practices and properly ludic forms of play with toys
Game studies · Generative grammar · Electrical and Electromagnetic Research · Geochemistry and Geologic Mapping · Geological Modeling and Analysis
| Highly cited | No |
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