Study on Reference Models for Hmi in Voice Telematics to Meet Driver’s Mind Distraction
نویسنده
چکیده
SUMMARY This paper describes a study on the reference models for human machine interaction (interface) (HMI) in a voice telematics services. The goal of the reference models is to reduce the possibilities of drivers' mind distractions even in the cases of hands-free and/or eyes-free driving situations. One of the basic principles is 'Voice telematics services should be controlled so that driving workload plus telematics workload should not exceed driver's ability.' In the first step of the study, the actual driving tests were conducted in which HMI dialogues of the test telematics services were controlled based on emergency and priority considerations. The tests included right-hand turns as the typical situations where the driver's workload increased. As a result of the tests, the necessity of the reference models was confirmed. Now, as the second step, we are drafting the reference models systematically based on the tests.
منابع مشابه
A Study of Dialogue Management Principles Corresponding to the Driver's Workload
We conducted a study in fiscal 2000-2002 concerning a network-distributed voice-activated telematics service system and another study in fiscal 2003-2004 concerning a voice-activated system and driver distraction. Based on those original studies, this paper presents dialogue management corresponding to the driver’s workload and other factors, with the aim of help to develop consensus for voice-...
متن کاملHow to integrate speech-operated internet information dialogs into a car
Telematics and entertainment systems in cars usually contain audio, phone and navigation functions that rely mostly on static content. The Human Machine Interface (HMI), including the speech dialog system, reflects these static applications by their very restricted dialogs. In the future the driver would like to access current information from the internet to provide driving assistance and info...
متن کاملIdentifying Driver’s Cognitive Distraction Using Inductive Logic Programming
In our study, we generate rules to determine whether or not a driver is cognitively distracted, using collected data about the driver’s eye movements and driving data by Inductive Logic Programming (ILP). We assigned a mental arithmetic task to the research participants to cause cognitive distraction and then learned the rules of the cognitive distraction using the cognitively distracted state ...
متن کاملDriver’s Load of Voice Interaction System in Vehicles
On-board voice interaction systems such as voice activation system or text-to-speech (TTS) system enable drivers to operate devices or to obtain the desired information without relying on their visual processes. Although these systems are thought to reduce the driver’s workload, few papers published papers have quantified any reduction. This paper describes the tests that were carried out to de...
متن کاملDriver prediction to improve interaction with in-vehicle HMI
Recently there has been a trend toward increasing the capability of the in-vehicle interface in terms of access to information and complex controls. This has been accompanied by an increase in the complexity of the car Human Machine Interface [HMI]. At the same time, studies have shown that driver distraction can contribute to accidents. This paper provides some possible ways to reduce driver c...
متن کامل