{"title":"Shapeshifter:基于力的数字顶针在虚拟现实中的手势输入","authors":"Tafadzwa Joseph Dube, Kevin Johnson, A. Arif","doi":"10.1145/3491101.3519679","DOIUrl":null,"url":null,"abstract":"Existing text entry techniques for virtual reality are either slow and error-prone, stationary, break immersion, or physically demanding. We present Shapeshifter, a technique that enables text entry in virtual reality by performing gestures and fluctuating contact force on any opaque diffusely reflective surface, including the human body. For this, we developed a digital thimble that users wear in their index finger. The thimble uses an optical sensor to track the finger and a pressure sensor to detect touch and contact force. In a week-long in-the-wild pilot study, Shapeshifter yielded on average 11 wpm on flat surfaces (e.g., a desk) and 9 wpm on the lap when sitting down, and 8 wpm on the palm and back of the hand when standing up in text composition tasks. A simulation study predicted a 27.3 wpm error-free text entry rate for novice users in transcription typing tasks on a desk.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Shapeshifter: Gesture Typing in Virtual Reality with a Force-based Digital Thimble\",\"authors\":\"Tafadzwa Joseph Dube, Kevin Johnson, A. Arif\",\"doi\":\"10.1145/3491101.3519679\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Existing text entry techniques for virtual reality are either slow and error-prone, stationary, break immersion, or physically demanding. We present Shapeshifter, a technique that enables text entry in virtual reality by performing gestures and fluctuating contact force on any opaque diffusely reflective surface, including the human body. For this, we developed a digital thimble that users wear in their index finger. The thimble uses an optical sensor to track the finger and a pressure sensor to detect touch and contact force. In a week-long in-the-wild pilot study, Shapeshifter yielded on average 11 wpm on flat surfaces (e.g., a desk) and 9 wpm on the lap when sitting down, and 8 wpm on the palm and back of the hand when standing up in text composition tasks. A simulation study predicted a 27.3 wpm error-free text entry rate for novice users in transcription typing tasks on a desk.\",\"PeriodicalId\":123301,\"journal\":{\"name\":\"CHI Conference on Human Factors in Computing Systems Extended Abstracts\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CHI Conference on Human Factors in Computing Systems Extended Abstracts\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3491101.3519679\",\"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 Conference on Human Factors in Computing Systems Extended Abstracts","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3491101.3519679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Shapeshifter: Gesture Typing in Virtual Reality with a Force-based Digital Thimble
Existing text entry techniques for virtual reality are either slow and error-prone, stationary, break immersion, or physically demanding. We present Shapeshifter, a technique that enables text entry in virtual reality by performing gestures and fluctuating contact force on any opaque diffusely reflective surface, including the human body. For this, we developed a digital thimble that users wear in their index finger. The thimble uses an optical sensor to track the finger and a pressure sensor to detect touch and contact force. In a week-long in-the-wild pilot study, Shapeshifter yielded on average 11 wpm on flat surfaces (e.g., a desk) and 9 wpm on the lap when sitting down, and 8 wpm on the palm and back of the hand when standing up in text composition tasks. A simulation study predicted a 27.3 wpm error-free text entry rate for novice users in transcription typing tasks on a desk.