User:Qiangli802/sandbox

I will work on Examples Section. In order to get a deep understanding of this topic. Some representative specific examples are necessary, which may be easier to understand what the game is for readers.

Apetopia: The Apetopia Game, which was launched by University of Berlin, is designed to help scientists understand perceived color differences. Apetopia is an easy game, accessible to all the public which requires no special skills except manual dexterity that all the experts of this kind of game usually possess. Two steps are needed to play this game. The first step is to visit the website and press 'play' to view the instructions. And the second step is to finish the game to identify what the color is. The Apetopia game helps determine perceived color differences. Players choices are used to model better color metrics. . This game is intended to provide data on how the shades of color are perceived by people in order to model the best color parameters.

Reverse The Odds: Reverse The Odds is a mobile based game which helps researchers learn about analyzing cancers. By incorporating data analysis into Reverse The Odds, researchers can get thousands of players to help them learn more about different cancers including head and neck, lung, and bladder cancer. You’re analysing in the same way researchers do, but because there are a lot more of you, we can get through data much more quickly, freeing up more of our researchers valuable time and unveiling clues about cancer sooner. http://www.cancerresearchuk.org/support-us/citizen-science-apps-and-games-from-cancer-research-uk/reverse-the-odds

Smorball: In the browser-based game Smorball, Players are asked to type the words they see as quickly and accurately as possible to help their team to reach victory in the fictional sport of Smorball. The game presents players with phrases from scanned pages in the Biodiversity Heritage Library. After verification, the words players type are sent to the libraries that store the corresponding pages, allowing those pages to be searched and data mined and ultimately making historic literature more usable for institutions, scholars, educators, and the public. The game was developed by Tiltfactor Lab.

Phrase Detectives: Phrase Detectives is an "annotation game" geared towards lovers of literature, grammar and language. It lets users indicate relationships between words and phrases to create a resource that is rich in linguistic information. Players are awarded with points for their contributions and are featured on a leader board. It was developed by academics Jon Chamberlain, Massimo Poesio and Udo Kruschwitz at the University of Essex.

Train Robots: Train Robots is an annotation game similar to Phrase Detectives. Players are shown pairs of before/after images of a robot arm and blocks on a board, and asked to enter commands to instruct the robot to move from the first configuration to the second. The game collects natural language data for training linguistic and robotic processing systems.

Wikidata Game[edit: The Wikidata Game represents a gamification approach to let users help resolve questions regarding persons, images etc. and thus automatically edit the corresponding data items in Wikidata, the structured knowledge repository supporting Wikipedia and Wikimedia Commons, the other Wikimedia projects, and more.

ZombiLingo: ZombiLingo is a French game where players are asked to find the right head (a word or expression) to gain brains and become a more and more degraded zombie. While playing, they in fact annotate syntactic relations in French corpora. It was designed and developed by researchers from LORIA and Université Paris-Sorbonne.

Foldit: Crowdsourcing has been gamified in games like Foldit, a game designed by the University of Washington, in which players compete to manipulate proteins into more efficient structures. A 2010 paper in science journal Nature credited Foldit's 57,000 players with providing useful results that matched or outperformed algorithmically computed solutions. Foldit, while also a GWAP, has a different type of method for tapping the collective human brain. This game challenges players to use their human intuition of 3-dimensional space to help with protein folding algorithms. Unlike the ESP Game which focuses on the results that humans are able to provide, Foldit is trying to understand how humans approach complicated 3 dimensional objects. By 'watching' how humans play the game, researchers hope to be able to improve their own computer programs. Instead of simply performing tasks that computers cannot do, this gwap is asking humans to help make current machine algorithms better.

ESP Game: The ESP Game is a human-based computation game developed to address the problem of creating difficult metadata. The idea behind the game is to use the computational power of humans to perform a task that computers cannot (originally, image recognition) by packaging the task as a game. It was originally conceived by Luis von Ahn of Carnegie Mellon University. Google bought a licence to create its own version of the game (Google Image Labeler) in 2006 in order to return better search results for its online images. The licence of the data acquired by Ahn's ESP Game, or the Google version, is not clear.[clarification needed] Google's version was shut down on September 16, 2011 as part of the Google Labs closure in September 2011. Qiangli802 (talk) 21:26, 1 December 2015 (UTC)

Looks great!!!! I placed suggestions in brackets and bold --> [my suggestions] Please let me know what you think of my section above. Thank you!-blab1234 Blab1234 (talk) 12:17, 1 December 2015 (UTC)

Thanks for your suggestion. Your suggestion is helpful to improve this article, and I have revised them.Qiangli802 (talk) 20:16, 1 December 2015 (UTC)