Objective This study investigated the use of human performance modeling (HPM) approach
for prediction of driver behavior and interactions with in-vehicle technology. Background …

This paper introduces a computational human performance model based upon the
queueing network cognitive architecture to predict driver's eye glances and workload for four …

This paper describes the development of a computer-aided engineering (CAE) software
toolkit for designers of in-vehicle infotainment systems to predict and benchmark the system …

Although swiping (also called flicking) is one of the commonly used touchscreen gestures,
few modeling studies have been conducted. In this paper, a computational model that …

In the past two decades, various CAE technologies and tools have been developed for
design, development and specification of the graphical user interface (GUI) of consumer …

Over the past decades, a variety of in-vehicle speech interfaces have been developed as
both research prototypes and commercial applications. While many human subject studies …

This paper describes a computational model of touchscreen gestures that focuses on
pinching and spreading with thumb and index fingers, based upon the Queueing Network …

Human performance of a primary continuous task (eg, steering a vehicle) and a secondary
discrete task (eg, tuning radio stations) simultaneously is a common scenario in many …

As humans are exposed to rapidly evolving complex systems, there are growing needs for
humans and systems to use multiple communication modalities such as auditory, vocal (or …

Under the umbrella term of natural user experience (Ghosh et al., 2017), this research
suggests a four-quadrant framework for the automotive industry to design future vehicles …