Collaborative Problem Solving in an Open-Ended Scientific Discovery Game

Countless human pursuits depend upon collaborative problem solving, especially in complex, open-ended domains. As part of the growing technological support for such collaboration, an opportunity exists to design systems that actively guide and facilitate collaborative problem solving toward the most productive outcomes. A better understanding of the dynamics of open-ended collaboration on complex problems is needed to realize this opportunity. Motivated by this need for better understanding, we investigate the collaborative problem solving ecosystem of the scientific-discovery game Foldit. Our investigation is guided by two primary questions: how do the social aspects of Foldit impact an individual's behavior? and what factors have significant impact on group success? We find that collaboration and competition are associated with increased participation and that collaboration increases individual performance. We also find that measures of group skill, individual skill, and participation correlate with better group performance.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/cscw/6238/2018

AdRecommended

Learn AI Coding at CodeNow

At a Glance

Paper Snapshot

fact_check
dataset
Source
CSCW
calendar_month
Year
2018
emoji_events
Award
No award tagged
group
Authors
2 authors
sell
Subtopics
work
Professions
article
Content Status
Abstract only
hub
Related Papers
0 related papers