{"title":"Abracadabra:无线,高精度,无电源手指输入非常小的移动设备","authors":"Chris Harrison, S. Hudson","doi":"10.1145/1622176.1622199","DOIUrl":null,"url":null,"abstract":"We present Abracadabra, a magnetically driven input technique that offers users wireless, unpowered, high fidelity finger input for mobile devices with very small screens. By extending the input area to many times the size of the device's screen, our approach is able to offer a high C-D gain, enabling fine motor control. Additionally, screen occlusion can be reduced by moving interaction off of the display and into unused space around the device. We discuss several example applications as a proof of concept. Finally, results from our user study indicate radial targets as small as 16 degrees can achieve greater than 92% selection accuracy, outperforming comparable radial, touch-based finger input.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"73 1","pages":"121-124"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"290","resultStr":"{\"title\":\"Abracadabra: wireless, high-precision, and unpowered finger input for very small mobile devices\",\"authors\":\"Chris Harrison, S. Hudson\",\"doi\":\"10.1145/1622176.1622199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present Abracadabra, a magnetically driven input technique that offers users wireless, unpowered, high fidelity finger input for mobile devices with very small screens. By extending the input area to many times the size of the device's screen, our approach is able to offer a high C-D gain, enabling fine motor control. Additionally, screen occlusion can be reduced by moving interaction off of the display and into unused space around the device. We discuss several example applications as a proof of concept. Finally, results from our user study indicate radial targets as small as 16 degrees can achieve greater than 92% selection accuracy, outperforming comparable radial, touch-based finger input.\",\"PeriodicalId\":93361,\"journal\":{\"name\":\"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology\",\"volume\":\"73 1\",\"pages\":\"121-124\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"290\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1622176.1622199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1622176.1622199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abracadabra: wireless, high-precision, and unpowered finger input for very small mobile devices
We present Abracadabra, a magnetically driven input technique that offers users wireless, unpowered, high fidelity finger input for mobile devices with very small screens. By extending the input area to many times the size of the device's screen, our approach is able to offer a high C-D gain, enabling fine motor control. Additionally, screen occlusion can be reduced by moving interaction off of the display and into unused space around the device. We discuss several example applications as a proof of concept. Finally, results from our user study indicate radial targets as small as 16 degrees can achieve greater than 92% selection accuracy, outperforming comparable radial, touch-based finger input.