Evaluation of Manual vs. Speech Input When Using a Driver Information System in Real Traffic

نویسندگان

  • Ulrich Gärtner
  • Winfried König
  • Thomas Wittig
  • Robert Bosch
چکیده

The executed study evaluated the influence of manual and speech input on driving quality, stress and strain situation and user acceptance when using a Driver Information System (DIS). The study is part of the EU-project SENECA. 16 subjects took part in the investigations. A car was equipped with a modified DIS to carry out the evaluation in real traffic situations. The used DIS is a standard product with manual input control elements. This DIS was extended by a speech input system with a speaker independent speech recogniser. For the use of the different DIS devices (radio, CD player, telephone, navigation) 12 different representative tasks were given to the subjects. Independently the type of task speech input needs longer operation times than manual input. In case of complex tasks a distinct improvement of the driving quality can be observed with speech instead of manual input. The subjective safety feeling is stronger with speech than with manual input. With speech input the number of glances at the mirrors and aside is clearly higher than with manual input. The most frequent user errors can be explained by problems when spelling and by the selection of wrong speech commands. The rate of speech recognition errors amounts on the average to 20.6 % what makes it necessary to increase the recognition performance of the examined speech system. This improvement of system performance is the task of the development for the system demonstrator in the 2 half of the SENECA project.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Lane Change Trajectory Model Considering the Driver Effects Based on MANFIS

The lane change maneuver is among the most popular driving behaviors. It is also the basic element of important maneuvers like overtaking maneuver. Therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (MANFIS) are proposed for this behavior. These models are able to simulate and predict the future behavior of a Dri...

متن کامل

A Real Time Traffic Sign Detection and Recognition Algorithm based on Super Fuzzy Set

Advanced Driver Assistance Systems (ADAS) benefit from current infrastructure to discern environmental information. Traffic signs are global guidelines which inform drivers from near characteristics of paths ahead. Traffic Sign Recognition (TSR) system is an ADAS that recognize traffic signs in images captured from road and show information as an adviser or transmit them to other ADASs. In this...

متن کامل

MANFIS Based Modeling and Prediction of the Driver-Vehicle Unit Behavior in Overtaking Scenarios

Overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. In this study, two novel prediction models for overtaking behavior are proposed. These models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (MANFIS). They are validated at microscopic level and are able to simulate and predict the fut...

متن کامل

Fuzzy Sliding Mode Control System Design for Car- Following Behavior in Real Traffic Flow

In this paper a control system has been designed to improve traffic conditions in car following maneuver. There are different methods to design a control system. In this paper design approach is based on the Fuzzy sliding mode control (FSMC) system. The aim of designing FSMC system is to achieve safe and desire longitudinal distance and less lateral displacement. In orde...

متن کامل

Traffic Flow Characteristics of Isolated Off-ramps in Iranian Expressways

The purpose of this study was to investigate traffic flow characteristics at off-ramp junctions in Iranian expressways. The study was conducted on the traffic behavior in isolated off-ramp vicinity of 6-lane expressways. The database consisted of traffic flow and traffic speed information extracted from videotapes. The relationship between diverging traffic flow in the right lane of expressway ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010