ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Disco 2013 - Workshop on Human Computation and Machine Learning in Games

Date2013-11-09

Deadline2013-10-14

VenueCalifornia , USA - United States USA - United States

Keywords

Websitehttps://disco2013.org

Topics/Call fo Papers

With the Internet being used worldwide, the way we think about communication, computation, artificial intelligence and research is changing. Human computation has emerged as a powerful approach to solving problems that would not be tractable without humans in the loop. Within human computation, games called games with a purpose or serious games are a successful approach to incite people to collaborate in human computation. Games are also for human means to learn.
Digital games are interaction machines and, how implicit it might be, always contain a learning component. Whether one is stacking blocks, exploring dungeons, or building cities games provide a variety of human machine interactions that range from from simple puzzles to complex problem spaces. The challenges that emerge through these mechanics are precisely what foster human learning during the course of a game. Recently, human computation systems have tried to leverage the insights people have for solving these problems by observing, and automatically learning from, the interactions between players and choices made by players.
The workshop Disco is devoted to exploring the relationships between entertainment, learning, and human computation. The workshop has several goals. First, the workshop will investigate games as powerful incentives for human both to learn and to engage in human computation. Second, the workshop will pay attention at how learning can be seamlessly integrated into human computation tasks so as to improve both a player's experience and a humancomputation system. Third, the workshop will explore how learning relates to entertainment and games. Finally, to close the loop, the workshop will investigate how human computation can improve the content, design and playability of games.
Areas of Interest
Games for Collective Intelligence
Games and digital entertainment for data collection
Games and digital entertainment for solving real world problems
Machine learning in games
Human learning with games
Crowdsourcing with games
Applications of games with a purpose and of serious games
Crowdsourcing for improving games and gameplays
Science games for both human science learning and human computation in sciences
Limitations and danger and ethical aspects of of games with a purpose or serious games
Efficiency and effectiveness games with a purpose and serious games

Last modified: 2013-10-09 22:54:20