Literature DB >> 26683254

The Effect of Haptic Support Systems on Driver Performance: A Literature Survey.

Sebastiaan M Petermeijer, David A Abbink, Mark Mulder, Joost C F de Winter.   

Abstract

A large number of haptic driver support systems have been described in the scientific literature. However, there is little consensus regarding the design, evaluation methods, and effectiveness of these systems. This literature survey aimed to investigate: (1) what haptic systems (in terms of function, haptic signal, channel, and supported task) have been experimentally tested, (2) how these haptic systems have been evaluated, and (3) their reported effects on driver performance and behaviour. We reviewed empirical research in which participants had to drive a vehicle in a real or simulated environment, were able to control the heading and/or speed of the vehicle, and a haptic signal was provided to them. The results indicated that a clear distinction can be made between warning systems (using vibrations) and guidance systems (using continuous forces). Studies typically used reaction time measures for evaluating warning systems and vehicle-centred performance measures for evaluating guidance systems. In general, haptic warning systems reduced the reaction time of a driver compared to no warnings, although these systems may cause annoyance. Guidance systems generally improved the performance of drivers compared to non-aided driving, but these systems may suffer from after-effects. Longitudinal research is needed to investigate the transfer and retention of effects caused by haptic support systems.

Entities:  

Mesh:

Year:  2015        PMID: 26683254     DOI: 10.1109/TOH.2015.2437871

Source DB:  PubMed          Journal:  IEEE Trans Haptics        ISSN: 1939-1412            Impact factor:   2.487


  6 in total

1.  Assistive Handlebar Based on Tactile Sensors: Control Inputs and Human Factors.

Authors:  Andrés Trujillo-León; Wael Bachta; Julián Castellanos-Ramos; Fernando Vidal-Verdú
Journal:  Sensors (Basel)       Date:  2018-07-30       Impact factor: 3.576

2.  A Theoretical Framework of Haptic Processing in Automotive User Interfaces and Its Implications on Design and Engineering.

Authors:  Stefan Josef Breitschaft; Stella Clarke; Claus-Christian Carbon
Journal:  Front Psychol       Date:  2019-07-26

3.  Machine Learning Methodology in a System Applying the Adaptive Strategy for Teaching Human Motions.

Authors:  Krzysztof Wójcik; Marcin Piekarczyk
Journal:  Sensors (Basel)       Date:  2020-01-06       Impact factor: 3.576

4.  The Identification of Non-Driving Activities with Associated Implication on the Take-Over Process.

Authors:  Lichao Yang; Mahdi Babayi Semiromi; Yang Xing; Chen Lv; James Brighton; Yifan Zhao
Journal:  Sensors (Basel)       Date:  2021-12-22       Impact factor: 3.576

5.  Function Follows Form: Using the Aesthetic Association Principle to Enhance Haptic Interface Design.

Authors:  Stefan Josef Breitschaft; Claus-Christian Carbon
Journal:  Front Psychol       Date:  2021-07-05

6.  Haptic Lane-Keeping Assistance for Truck Driving: A Test Track Study.

Authors:  Jeroen Roozendaal; Emma Johansson; Joost de Winter; David Abbink; Sebastiaan Petermeijer
Journal:  Hum Factors       Date:  2020-06-18       Impact factor: 2.888

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.