Ko Yu-Jung, Feiz Shirin, Ramakrishnan I V, Putkonen Aini, Wang Yuheng, Oulasvirta Antti, Aydin Ali Selman, Ashok Vikas, Bi Xiaojun
Department of Computer Science, Stony Brook University, USA.
Department of Communications and Networking, Aalto University, Finland.
MobileHCI. 2021 Sep;2021. doi: 10.1145/3447526.3472022. Epub 2021 Sep 27.
Gliding a finger on touchscreen to reach a target, that is, touch exploration, is a common selection method of blind screen-reader users. This paper investigates their gliding behavior and presents a model for their motor performance. We discovered that the gliding trajectories of blind people are a mixture of two strategies: 1) ballistic movements with iterative corrections relying on non-visual feedback, and 2) multiple sub-movements separated by stops, and concatenated until the target is reached. Based on this finding, we propose the mixture pointing model, a model that relates movement time to distance and width of the target. The model outperforms extant models, improving from 0.65 for Fitts' law to 0.76, and is superior in cross-validation and information criteria. The model advances understanding of gliding-based target selection and serves as a tool for designing interface layouts for screen-reader based touch exploration.
在触摸屏上滑动手指以到达目标,即触摸探索,是盲人屏幕阅读器用户常用的选择方法。本文研究了他们的滑动行为,并提出了一个关于他们运动表现的模型。我们发现盲人的滑动轨迹是两种策略的混合:1)依靠非视觉反馈进行迭代校正的弹道运动,以及2)由停顿分隔的多个子运动,并串联起来直到到达目标。基于这一发现,我们提出了混合指向模型,该模型将运动时间与目标的距离和宽度联系起来。该模型优于现有模型,拟合优度从菲茨定律的0.65提高到0.76,在交叉验证和信息准则方面表现更优。该模型增进了对基于滑动的目标选择的理解,并可作为为基于屏幕阅读器的触摸探索设计界面布局的工具。