Predictive Pointing from Automotive to Inclusive Design

被引:0
作者
Ahmad, Bashar I. [1 ]
Murphy, James K. [1 ]
Langdon, Patrick M. [2 ]
Godsill, Simon J. [1 ]
机构
[1] Univ Cambridge, Dept Engn, Signal Proc & Commun Lab SigProC, Cambridge, England
[2] Univ Cambridge, EDC, Dept Engn, Cambridge, England
来源
UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION: USERS AND CONTEXT DIVERSITY, PT III | 2016年 / 9739卷
基金
英国工程与自然科学研究理事会;
关键词
Interactive displays; Bayesian inference; Target assistance; Motor impairment; Endpoint prediction; Inclusive design;
D O I
10.1007/978-3-319-40238-3_50
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With interactive displays, such as touchscreens, becoming an integrated part of the modern vehicle environment, predictive displays have emerged as a solution to minimize the effort as well as cognitive, visual and physical workload associated with using in-vehicle displays. It utilises gesture tracking in 3D as the basis of an input modality enabling interface component acquisition (pointing and selections). Nevertheless, the predictive display technology has the potential to facilitate and assist human computer interaction for motion impaired users, for example, those with cerebral palsy, tremors and spasms, in various scenarios. It also has a wider application in inclusive design addressing general ranges of impairments, such as those arising from ageing. This paper explores the potential of this promising technology and proposes that a predictive display, which was developed to aid drivers in a situationally induced impairment due to using non-driving interfaces in a moving car, can be applicable to the health induced impairment arising from perturbations due to physical movement disorders. It is concluded that 3D predictive gesture tracking can simplify and expedite target acquisition during perturbed pointing movements due to a health/physical-capability impairment.
引用
收藏
页码:527 / 537
页数:11
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