{"title":"ColorFingers: improved multi-touch color picker","authors":"A. J. G. Ebbinason, B. R. Kanna","doi":"10.1145/2669024.2669033","DOIUrl":null,"url":null,"abstract":"ColorFingers is a WYSIWYG, Location Independent Touch (LIT) based color picking tool aimed to give unique and swift interaction in choosing color on touch based devices. It makes use of touch interface and the touch information of two fingers to select almost 16 million colors. This tool is a model to prove how touch can be interpreted in different ways to achieve performance improvements in HCI. In this paper, we propose ColorFingers which is a color picker and briefly discuss the working of it. We show, how it achieves around 54% reduction in color selection time and 53% improvement in accuracy when compared to existing models. The proposed model emphasizes on Multi-touch, Quick feedback and Location Independency.","PeriodicalId":353683,"journal":{"name":"SIGGRAPH Asia 2014 Technical Briefs","volume":"494 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGGRAPH Asia 2014 Technical Briefs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2669024.2669033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
ColorFingers is a WYSIWYG, Location Independent Touch (LIT) based color picking tool aimed to give unique and swift interaction in choosing color on touch based devices. It makes use of touch interface and the touch information of two fingers to select almost 16 million colors. This tool is a model to prove how touch can be interpreted in different ways to achieve performance improvements in HCI. In this paper, we propose ColorFingers which is a color picker and briefly discuss the working of it. We show, how it achieves around 54% reduction in color selection time and 53% improvement in accuracy when compared to existing models. The proposed model emphasizes on Multi-touch, Quick feedback and Location Independency.
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