{"title":"Investigating a Force-Based Selection Method for Smartwatches in a 1D Fitts’ Law Study and Two New Character-Level Keyboards","authors":"Yuanjun Ren, A. Arif","doi":"10.1145/3569009.3572741","DOIUrl":null,"url":null,"abstract":"Selecting small targets is difficult on tiny displays due to the “fat-finger problem”. In this paper, we explore the possibility of using a force-based approach to target selection on smartwatches. First, we identify the most comfortable range of force on smartwatches. We then conduct a 1D Fitts’ law study to compare the performance of tap and force-tap. Results revealed that force-tap is significantly better in selecting smaller targets, while tap outperforms force-tap for bigger targets. We then developed two new force-based keyboards to demonstrate the feasibility of force input in practical scenarios. These single-row alphabetical keyboards enable character-level text entry by performing slides and variating contact force. In a user study, these keyboards yielded about 4 wpm with about 2% error rate, demonstrating the viability of force input on smaller screens.","PeriodicalId":183744,"journal":{"name":"Proceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3569009.3572741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Selecting small targets is difficult on tiny displays due to the “fat-finger problem”. In this paper, we explore the possibility of using a force-based approach to target selection on smartwatches. First, we identify the most comfortable range of force on smartwatches. We then conduct a 1D Fitts’ law study to compare the performance of tap and force-tap. Results revealed that force-tap is significantly better in selecting smaller targets, while tap outperforms force-tap for bigger targets. We then developed two new force-based keyboards to demonstrate the feasibility of force input in practical scenarios. These single-row alphabetical keyboards enable character-level text entry by performing slides and variating contact force. In a user study, these keyboards yielded about 4 wpm with about 2% error rate, demonstrating the viability of force input on smaller screens.