{"title":"表征手指的俯仰和滚动方向在原子触摸行动","authors":"Alix Goguey, Géry Casiez, Daniel Vogel, C. Gutwin","doi":"10.1145/3173574.3174163","DOIUrl":null,"url":null,"abstract":"Atomic interactions in touch interfaces, like tap, drag, and flick, are well understood in terms of interaction design, but less is known about their physical performance characteristics. We carried out a study to gather baseline data about finger pitch and roll orientation during atomic touch input actions. Our results show differences in orientation and range for different fingers, hands, and actions, and we analyse the effect of tablet angle. Our data provides designers and researchers with a new resource to better understand what interactions are possible in different settings ( e.g. when using the left or right hand), to design novel interaction techniques that use orientation as input (e.g. using finger tilt as an implicit mode), and to determine whether new sensing techniques are feasible (e.g. using fingerprints for identifying specific finger touches).","PeriodicalId":20512,"journal":{"name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Characterizing Finger Pitch and Roll Orientation During Atomic Touch Actions\",\"authors\":\"Alix Goguey, Géry Casiez, Daniel Vogel, C. Gutwin\",\"doi\":\"10.1145/3173574.3174163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Atomic interactions in touch interfaces, like tap, drag, and flick, are well understood in terms of interaction design, but less is known about their physical performance characteristics. We carried out a study to gather baseline data about finger pitch and roll orientation during atomic touch input actions. Our results show differences in orientation and range for different fingers, hands, and actions, and we analyse the effect of tablet angle. Our data provides designers and researchers with a new resource to better understand what interactions are possible in different settings ( e.g. when using the left or right hand), to design novel interaction techniques that use orientation as input (e.g. using finger tilt as an implicit mode), and to determine whether new sensing techniques are feasible (e.g. using fingerprints for identifying specific finger touches).\",\"PeriodicalId\":20512,\"journal\":{\"name\":\"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3173574.3174163\",\"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 2018 CHI Conference on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3173574.3174163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Characterizing Finger Pitch and Roll Orientation During Atomic Touch Actions
Atomic interactions in touch interfaces, like tap, drag, and flick, are well understood in terms of interaction design, but less is known about their physical performance characteristics. We carried out a study to gather baseline data about finger pitch and roll orientation during atomic touch input actions. Our results show differences in orientation and range for different fingers, hands, and actions, and we analyse the effect of tablet angle. Our data provides designers and researchers with a new resource to better understand what interactions are possible in different settings ( e.g. when using the left or right hand), to design novel interaction techniques that use orientation as input (e.g. using finger tilt as an implicit mode), and to determine whether new sensing techniques are feasible (e.g. using fingerprints for identifying specific finger touches).