Chefs Know More than Just Recipes: Professional Vision in a Citizen Science Game

Marisa Ponti, Igor Stankovic, W. Barendregt, Bruno Kestemont, Lyn Bain
{"title":"Chefs Know More than Just Recipes: Professional Vision in a Citizen Science Game","authors":"Marisa Ponti, Igor Stankovic, W. Barendregt, Bruno Kestemont, Lyn Bain","doi":"10.15346/HC.V5I1.1","DOIUrl":null,"url":null,"abstract":"Some citizen science projects use “games with a purpose” (GWAPs) to integrate what humans and computers, respectively, can do well. One of these projects is Foldit, which invites talented players to predict three-dimensional (3D) models of proteins from their amino acid composition. This study investigated players’ professional vision and interpret their use of recipes, small scripts of computer code that automate some protein folding processes, to carry out their strategies more easily when solving game puzzles. Specifically, this study examined when, how and why the players ran recipes when solving the puzzles, and what actions those recipes performed in the gameplay.Autoethnographic accounts of players at different levels of experience (beginner, intermediate, and expert) with playing the game were analyzed using a grounded theory approach. The analysis of what these players observed and did visualized the professional vision necessary to use recipes sensibly and effectively. The findings highlight three key abilities: (a) seeing beauty; (b) repairing errors made by recipes, and (c) monitoring a large quantity of information to perform actions effectively. This study indicates that players indeed have to develop a professional vision independent of what the game itself can highlight. This is related to the nature of the game where it seems impossible for the game developers to show the affordances, because they are unknown. Players must learn to see the affordances and develop a professional vision, which means that they have to learn these skills through gaming.","PeriodicalId":92785,"journal":{"name":"Human computation (Fairfax, Va.)","volume":"11 1","pages":"1-12"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human computation (Fairfax, Va.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15346/HC.V5I1.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

Some citizen science projects use “games with a purpose” (GWAPs) to integrate what humans and computers, respectively, can do well. One of these projects is Foldit, which invites talented players to predict three-dimensional (3D) models of proteins from their amino acid composition. This study investigated players’ professional vision and interpret their use of recipes, small scripts of computer code that automate some protein folding processes, to carry out their strategies more easily when solving game puzzles. Specifically, this study examined when, how and why the players ran recipes when solving the puzzles, and what actions those recipes performed in the gameplay.Autoethnographic accounts of players at different levels of experience (beginner, intermediate, and expert) with playing the game were analyzed using a grounded theory approach. The analysis of what these players observed and did visualized the professional vision necessary to use recipes sensibly and effectively. The findings highlight three key abilities: (a) seeing beauty; (b) repairing errors made by recipes, and (c) monitoring a large quantity of information to perform actions effectively. This study indicates that players indeed have to develop a professional vision independent of what the game itself can highlight. This is related to the nature of the game where it seems impossible for the game developers to show the affordances, because they are unknown. Players must learn to see the affordances and develop a professional vision, which means that they have to learn these skills through gaming.
厨师知道的不仅仅是食谱:公民科学游戏中的专业视野
一些公民科学项目使用“有目的的游戏”(gwap)来整合人类和计算机各自擅长的事情。其中一个项目是Foldit,它邀请天才玩家根据蛋白质的氨基酸组成预测蛋白质的三维(3D)模型。这项研究调查了玩家的专业视野,并解释了他们在解决游戏难题时更容易执行他们的策略时使用的食谱,即自动完成一些蛋白质折叠过程的计算机代码的小脚本。具体来说,该研究考察了玩家在解决谜题时何时、如何以及为何使用配方,以及这些配方在游戏玩法中执行的动作。我们使用基于理论的方法分析了不同体验水平(游戏邦注:包括新手、中级和专家)的玩家的自我民族志。通过分析这些玩家所观察到的和所做的事情,我们便能够更有效地使用食谱。研究结果强调了三个关键能力:(a)发现美;(b)修复配方所造成的错误,(c)监控大量信息以有效执行操作。这项研究表明,玩家确实需要培养一种独立于游戏本身的专业眼光。这与游戏的本质有关,即游戏开发者似乎不可能呈现辅助功能,因为它们是未知的。玩家必须学会观察情境,培养专业视野,这意味着他们必须通过游戏来学习这些技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信