{"title":"在有形用户界面设计中整合用户表现时间模型","authors":"Paul Holleis, Dagmar Kern, A. Schmidt","doi":"10.1145/1240866.1241018","DOIUrl":null,"url":null,"abstract":"One of the aspects that are important for judging an application is the time an experienced user needs to complete a task. This can be assessed by a Keystroke-Level Model (KLM) of that task. In this paper we show a method that allows designers to prototype hardware applications entirely in software and still be able to draw conclusions about the time to completion of given tasks on the envisioned hardware implementation. We provide versatile, easily extensible tools and examples that give developers quick access to KLM data for their prototypes and applications.","PeriodicalId":294433,"journal":{"name":"CHI '07 Extended Abstracts on Human Factors in Computing Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Integrating user performance time models in the design of tangible UIs\",\"authors\":\"Paul Holleis, Dagmar Kern, A. Schmidt\",\"doi\":\"10.1145/1240866.1241018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the aspects that are important for judging an application is the time an experienced user needs to complete a task. This can be assessed by a Keystroke-Level Model (KLM) of that task. In this paper we show a method that allows designers to prototype hardware applications entirely in software and still be able to draw conclusions about the time to completion of given tasks on the envisioned hardware implementation. We provide versatile, easily extensible tools and examples that give developers quick access to KLM data for their prototypes and applications.\",\"PeriodicalId\":294433,\"journal\":{\"name\":\"CHI '07 Extended Abstracts on Human Factors in Computing Systems\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CHI '07 Extended Abstracts on Human Factors in Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1240866.1241018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CHI '07 Extended Abstracts on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1240866.1241018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrating user performance time models in the design of tangible UIs
One of the aspects that are important for judging an application is the time an experienced user needs to complete a task. This can be assessed by a Keystroke-Level Model (KLM) of that task. In this paper we show a method that allows designers to prototype hardware applications entirely in software and still be able to draw conclusions about the time to completion of given tasks on the envisioned hardware implementation. We provide versatile, easily extensible tools and examples that give developers quick access to KLM data for their prototypes and applications.