HCNov 20, 2018

Interplay of Game Incentives, Player Profiles and Task Difficulty in Games with a Purpose

arXiv:1811.08244v11 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the challenge of optimizing player engagement and accuracy in crowdsourced games for researchers and developers, but it is incremental as it builds on existing GWAP evaluation methods.

The paper tackled the problem of evaluating Games with a Purpose by investigating how game incentives, player profiles, and task difficulty affect player behavior and accuracy, showing their impact on results through an experimental assessment of a multinomial classification task.

How to take multiple factors into account when evaluating a Game with a Purpose? How is player behaviour or participation influenced by different incentives? How does player engagement impact their accuracy in solving tasks? In this paper, we present a detailed investigation of multiple factors affecting the evaluation of a GWAP and we show how they impact on the achieved results. We inform our study with the experimental assessment of a GWAP designed to solve a multinomial classification task.

Foundations

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