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Automotive User Interfaces and Interactive Vehicular Applications

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IVAT (In-Vehicle Assistive Technology):<br />

Multimodal Design Issues for TBI Drivers<br />

ABSTRACT<br />

Individuals who have survived a traumatic brain injury (TBI) can<br />

experience a variety of sequelae that may limit their ability to<br />

drive. Despite great safety risks, the majority of individuals who<br />

return to driving following a TBI do so without ever undergoing<br />

formal evaluation [1]. Assistive technology can be leveraged in<br />

the context of driving to facilitate autonomy for this population.<br />

Multisensory integration is known to have facilitatory capabilities<br />

at the neural, cognitive, <strong>and</strong> behavioral levels. We have the<br />

opportunity to address the needs of this user group by utilizing invehicle<br />

multimodal interfaces. The aim of our in-vehicle assistive<br />

technology (IVAT) project is to increase driver safety by first<br />

considering individual abilities <strong>and</strong> limitations <strong>and</strong> then tailoring<br />

support to meet those specific needs. We have developed an initial<br />

iteration of such a system through a user-centered design process<br />

with both rehabilitative driving evaluators <strong>and</strong> drivers with TBI.<br />

Our goal is to enable individuals to overcome limitations <strong>and</strong><br />

regain some independence by driving after injury. The purpose of<br />

the current paper is to outline the findings from our needs<br />

assessment for this population of drivers <strong>and</strong> highlight the critical<br />

concepts drawn from multimodal perception theory that could be<br />

integrated into addressing the needs of these drivers.<br />

Categories <strong>and</strong> Subject Descriptors<br />

J.4 [Computer <strong>Applications</strong>]: Social <strong>and</strong> Behavioral Sciences –<br />

Psychology.<br />

General Terms<br />

Performance, Design, Human Factors<br />

Keywords<br />

Driving, Cognitive Limitations, TBI, Assistive Technology,<br />

Human Factors<br />

1. INTRODUCTION<br />

Millions of people incur, <strong>and</strong> then strive to recover from,<br />

traumatic brain injuries (TBI) each year. Following extensive<br />

rehabilitation, they are often able to reintegrate into daily life. The<br />

ability to drive a car unsupervised is often a critical factor in<br />

regaining independence [2]. Unfortunately, many TBI survivors<br />

(<strong>and</strong> indeed people with various disabilities) have residual<br />

perceptual, cognitive, motor, or affect-control deficits that impact<br />

their ability to drive, among other activities. Much of what is<br />

understood about normal perception during driving has been<br />

Copyright held by author(s)<br />

<strong>Automotive</strong>UI'11, November 29-December 2, 2011, Salzburg, Austria<br />

Adjunct Proceedings<br />

Julia DeBlasio Olsheski, Bruce N. Walker<br />

Sonification Lab, Georgia Institute of Technology<br />

Atlanta, GA 30308<br />

+1-404-894-8265<br />

julia@gatech.edu, bruce.walker@psych.gatech.edu<br />

- 11 -<br />

derived from unimodal studies, as these were traditionally the<br />

focus within perception research. Though unimodal literature has<br />

contributed greatly to our underst<strong>and</strong>ing, its overemphasis has left<br />

critical gaps in perceptual theory [3]. Interactions within the<br />

driving environment are almost never truly unimodal. Though the<br />

sensory channels are differentiated, the experience is not of a<br />

fragmented collection of sensations, but rather an integrated<br />

concept of the external world. Sensory information from multiple<br />

modalities must be integrated online despite vast differences in<br />

initial cognitive encoding [3]. Audiovisual integration research<br />

has direct implications for modern display design <strong>and</strong> can be<br />

particularly useful in the context of driving, a task that heavily<br />

taxes the visual modality.<br />

The IVAT (In-Vehicle Assistive Technology) system is a<br />

framework for developing a range of multimodal assistive<br />

applications, each tuned to the particular needs of the individual.<br />

The IVAT research team is particularly well suited for tackling<br />

issues with driving after TBI. The Shepherd Center, a private, notfor-profit<br />

hospital specializing in research <strong>and</strong> rehabilitation for<br />

people with spinal cord <strong>and</strong> brain injury, is recognized as one of<br />

the U.S.’s leading rehabilitation centers. The Sonification<br />

Laboratory at Georgia Tech focuses on the development <strong>and</strong><br />

evaluation of auditory <strong>and</strong> multimodal interfaces, paying<br />

particular attention to Human Factors in the display of<br />

information in complex task environments. The Georgia Tech<br />

School of Psychology’s Driving Simulator Facility houses a<br />

National Advanced Driving Simulator (NADS) MiniSim featuring<br />

full field-of-view immersive environments (see Figure 1). In the<br />

current research, an in-vehicle PC is utilized with Centrafuse<br />

Application Integration Framework software that merges<br />

connected car technology <strong>and</strong> IVAT within a multimodal in-dash<br />

touch screen interface. IVAT utilizes positive reinforcement to<br />

promote skills <strong>and</strong> behaviors known to increase driver safety.<br />

Figure 1. IVAT in-dash display

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