Katrin Wolf, Markus Schneider, John Mercouris, Christopher-Eyk Hrabia
{"title":"Biomechanics of Front and Back-of-Tablet Pointing with Grasping Hands","authors":"Katrin Wolf, Markus Schneider, John Mercouris, Christopher-Eyk Hrabia","doi":"10.4018/ijmhci.2015040103","DOIUrl":null,"url":null,"abstract":"Considering the kinematic model of the hand allows for deeper understanding of target selection on the front and on the back of tablets. The authors found that the position where the thumb and fingers are naturally hovering when the device is held results in shortest target selection times. The authors broaden our understanding of that ergonomic optimum by analyzing the touch data as well as 3D data. That allows us to model the entire hand pose including finger angles, thumb angles, and orientation. The authors show how target acquisition with grasping hands is realized through bending the joints of the digits. For targets located very close to the palm of the grasping hand, the digit joints have to be bent till their limit, which is a less ergonomic motion that therefore requires longer selection times than pointing at targets with relaxed digits that are further away.","PeriodicalId":43100,"journal":{"name":"International Journal of Mobile Human Computer Interaction","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mobile Human Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijmhci.2015040103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 11
Abstract
Considering the kinematic model of the hand allows for deeper understanding of target selection on the front and on the back of tablets. The authors found that the position where the thumb and fingers are naturally hovering when the device is held results in shortest target selection times. The authors broaden our understanding of that ergonomic optimum by analyzing the touch data as well as 3D data. That allows us to model the entire hand pose including finger angles, thumb angles, and orientation. The authors show how target acquisition with grasping hands is realized through bending the joints of the digits. For targets located very close to the palm of the grasping hand, the digit joints have to be bent till their limit, which is a less ergonomic motion that therefore requires longer selection times than pointing at targets with relaxed digits that are further away.