Incremental Game Mechanics Applied to Text Annotation
summary
An incremental clicker built for part‑of‑speech annotation called WordClicker maps jars of word categories to token labels, includes a shop and upgrades that speed or slow token flow, and deliberately uses a non‑blocking loop. Deployed on Kongregate, Newgrounds and itch io, it achieves average session length 27m17s and 45.85 judgments per player (power‑law contribution). Raw accuracy is low in the unfiltered data but trends suggest learning; aggregation or player filtering is needed for production use.
AI-written summary · about
chapters (14)
- 0:00Introduction
- 1:39Design Constraints
- 2:30Interfaces
- 2:54Cost
- 3:20Infinite Gameplay
- 3:47Accessibility
- 4:38Summary
- 5:39Basic Game Loop
- 6:34Word Clicker
- 7:22Experiment
- 8:09Results
- 8:53Learning
- 9:28Questions
- 13:05Final Question
related talks
11mGamification - Falling Down the Leader Board?
20mInvestigating the Impact of Annotation Interfaces on Player Performance in Distributed ...
15mWhat Gamee learned about hyper-casual games from 3 billion gameplays across 70 games
25mWhat Makes a Game Hypercasual?
57mGame On! Gamifying Your Apps for Fun and Profit
39mIdle games – Games for everyone
21mDesigning for play and friction in a fast-paced world
21mPlaying to Wait: A Taxonomy of Idle Games
