Ansgar E. Depping, R. Mandryk, Chengzhao Li, C. Gutwin, Rodrigo Vicencio-Moreira
{"title":"How Disclosing Skill Assistance Affects Play Experience in a Multiplayer First-Person Shooter Game","authors":"Ansgar E. Depping, R. Mandryk, Chengzhao Li, C. Gutwin, Rodrigo Vicencio-Moreira","doi":"10.1145/2858036.2858156","DOIUrl":null,"url":null,"abstract":"In social play settings, it can be difficult for people with different skill levels to play a game together. Player balancing that provides skill assistance for the weaker player can allow for enjoyable play experiences; however, previous research (and conventional wisdom) has suggested that skill assistance should be kept hidden to avoid perceptions of unfairness. We carried out a study to test how disclosing skill assistance affects player experience. We found -- surprisingly -- that disclosing assistance did not harm play experience; players were more influenced by the benefits of equalized performance resulting from assistance than by their knowledge of the assist. We introduce the idea of attribution biases to help explain why awareness was not harmful -- people tend to take credit for their successes, but attribute failures externally. We discuss how game designers can incorporate skill assistance to build multiplayer games that improve experiences for a wide range of players.","PeriodicalId":169608,"journal":{"name":"Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2858036.2858156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29
Abstract
In social play settings, it can be difficult for people with different skill levels to play a game together. Player balancing that provides skill assistance for the weaker player can allow for enjoyable play experiences; however, previous research (and conventional wisdom) has suggested that skill assistance should be kept hidden to avoid perceptions of unfairness. We carried out a study to test how disclosing skill assistance affects player experience. We found -- surprisingly -- that disclosing assistance did not harm play experience; players were more influenced by the benefits of equalized performance resulting from assistance than by their knowledge of the assist. We introduce the idea of attribution biases to help explain why awareness was not harmful -- people tend to take credit for their successes, but attribute failures externally. We discuss how game designers can incorporate skill assistance to build multiplayer games that improve experiences for a wide range of players.