Competitive and Cooperative Player-Oriented GWAPs for Enhancing Crowdsourcing Campaigns – An Evidence-Based Synthesis

The use of gamified crowdsourcing mechanisms through serious games and games with a purpose (GWAPs) has emerged as an effective motivational strategy for enhancing performance in human intelligence tasks (HITs). In this systematic literature review, we examine the underlying characteristics of competitive and cooperative player-oriented GWAPs and how they can be leveraged to optimize crowdsourcing performance in completing batches of HITs. By exploring gamified crowdsourcing elements in GWAPs, we can evaluate the impact of these two types of player behaviors (i.e., competition and cooperation) on motivation and performance. We reviewed 27 publications and grouped them into five categories: player orientation, game elements and motivation, crowd work optimization, gamified knowledge collection, and comparative studies and best practices. Our research pinpoints the significance of intuitive task instructions, alignment of game elements with player motivations, and the role of competitive and cooperative dynamics in enhancing engagement and performance.

Authors

Institutions

Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2025-08-04
DOI
https://doi.org/10.1080/10447318.2025.2530075
Primary Topic
Mobile Crowdsensing and Crowdsourcing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Competitive and Cooperative Player-Oriented GWAPs for Enhancing Crowdsourcing Campaigns – An Evidence-Based Synthesis

António Correia, Dennis Paulino, Diogo Guimarães, Hugo Paredes
International Journal of Human-Computer Interaction
Mobile Crowdsensing and Crowdsourcing
article

Competitive and Cooperative Player-Oriented GWAPs for Enhancing Crowdsourcing Campaigns – An Evidence-Based Synthesis

António Correia, Dennis Paulino, Diogo Guimarães, Hugo Paredes
article en

Abstract

The use of gamified crowdsourcing mechanisms through serious games and games with a purpose (GWAPs) has emerged as an effective motivational strategy for enhancing performance in human intelligence tasks (HITs). In this systematic literature review, we examine the underlying characteristics of competitive and cooperative player-oriented GWAPs and how they can be leveraged to optimize crowdsourcing performance in completing batches of HITs. By exploring gamified crowdsourcing elements in GWAPs, we can evaluate the impact of these two types of player behaviors (i.e., competition and cooperation) on motivation and performance. We reviewed 27 publications and grouped them into five categories: player orientation, game elements and motivation, crowd work optimization, gamified knowledge collection, and comparative studies and best practices. Our research pinpoints the significance of intuitive task instructions, alignment of game elements with player motivations, and the role of competitive and cooperative dynamics in enhancing engagement and performance.

International Journal of Human-Computer InteractionVol. 42(4)
Information Technology University (PK), University of Trás-os-Montes and Alto Douro (PT), University of Jyväskylä (FI)
European Social Fund
Openalex Percentile: Top 80%
Mobile Crowdsensing and Crowdsourcing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Competitive and Cooperative Player-Oriented GWAPs for Enhancing Crowdsourcing Campaigns – An Evidence-Based Synthesis — António Correia, Dennis Paulino, et al. · International Journal of Human-Computer Interaction (2025) | TGRS Research Map | TGRS