Route Guidance Modality for Elder Driver Navigation
نویسندگان
چکیده
Differences in perceptual and cognitive abilities between the young and elderly have implications for in-car tasks. As a primary example, although in-car navigation systems enhance situational awareness, this comes at the cost of increasing visual distraction and cognitive load. To address these shortcomings, this paper explores the efficacy of multi-modal cues for providing route guidance information. We present the results of a study evaluating the impact of multi-modal feedback on driving performance and cognitive load. We found that the full combination of visual, auditory, and haptic feedback was generally most useful to reduce way-finding errors. However, our study highlighted a number of differences between elder and younger drivers for their safer navigation. Adding more modalities strained the already high workload of elder drivers. In contrast, adding haptic feedback to traditional audio and visual feedback led to more attentive driving by younger drivers. Therefore, for elder drivers, navigation systems need to be personalized to enhance the benefit of auditory feedback without increasing the number of sensory feedbacks. For younger drivers, it is necessary to incorporate new non-visual feedback to minimize distractions caused by visual feedback. We demonstrate these results through task performance-based measures, subjective workload measures and through objective workload measures that use psychophysiological responses of participants to predict a driver’s cognitive load in near real-time.
منابع مشابه
Adaptive Route Selection for Dynamic Route Guidance System Based on Fuzzy-Neural Approaches - Vehicle Navigation and Information Systems Conference, 1995. Proceedings. In conjunction with the
The objective of this work is to model the driver behaviour in the area of route selection. The research focus on an optimum route search function in a typical in-car navigation system or dynamic route guidance (DRG) system. In this woik, we want to emphasize the need to orientate the route selection method on the driver’s preference. Each route candidate has a set of attributes. A fuzzy-neural...
متن کاملdesigning and implementing a 3D indoor navigation web application
During the recent years, the need arises for indoor navigation systems for guidance of a client in natural hazards and fire, due to the fact that human settlements have been complicating. This research paper aims to design and implement a visual indoor navigation web application. The designed system processes CityGML data model automatically and then, extracts semantic, topologic and geometric...
متن کاملEffects on Productivity and Safety of Map and Augmented Reality Navigation Paradigms
Navigation systems providing route-guidance and traffic information are one of the most widely used driver-support systems these days. Most navigation systems are based on the map paradigm which plots the driving route in an abstracted version of a two-dimensional electronic map. Recently, a new navigation paradigm was introduced that is based on the augmented reality (AR) paradigm which displa...
متن کاملAn On-the-Road Comparison of In-Vehicle Navigation Assistance Systems
One of the more interesting advances in transportation over the past decade is the introduction of intelligent transportation systems. Of particular interest is the flurry of activity directed at developing advanced traveler information systems (ATISs), especially systems that provide in-vehicle navigation assistance to drivers. These systems are designed to “acquire, analyze, communicate, and ...
متن کاملAR-Navi: An In-Vehicle Navigation System Using Video-Based Augmented Reality Technology
In this paper we propose AR-Navi, an in-vehicle navigation system that uses video-based augmented reality technology. AR-Navi includes an invehicle camera, which captures real-time video, and displays the guidance which overlays the video display. To solve several problems that arise when real-time video is used, we propose registration adjustment based on recognizing crosswalks and filtering i...
متن کامل