An extended KLM for predicting the visual demand of in-vehicle information systems

被引：0

作者：

Pettitt, Michael ^{[1
]}

Burnett, Gary ^{[1
]}

Stevens, Alan ^{[1
]}

机构：

[1] Univ Nottingham, Sch Comp Sci & IT, Nottingham NG8 1BB, England

来源：

CONTEMPORARY ERGONOMICS 2007 | 2007年

关键词：

To assess the potential distraction of In-Vehicle Information Systems (IVIS) simple low cost evaluation methods are required that can be used early in the design process. The occlusion technique can be used to predict the likely visual demand of an IVIS user-interface. However occlusion is normally assessed through performance-focused user trials requiring a sample of drivers using a robust prototype and consequently has limitations as a cost-effective early design method. In the Human-Computer Interaction (HCI) field the Keystroke Level Model (KLM) has long been viewed as a reliable and valid means of modelling human performance and making task time predictions therefore not requiring empirical trials or a working prototype. This paper provides an overview of an extended KLM which aims to predict measures based on the occlusion protocol. Validation studies have demonstrated that the modified KLM would have led to the same design decisions as the occlusion technique. Consequently; it is concluded that the extended KLM shows considerable potential a means of predicting the visual demand of an IVIS user-interface;

D O I：

暂无

中图分类号：

TB18 [人体工程学];

学科分类号：

1201 ;

摘要：

引用

页码：272 / 277

页数：6

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