Smooth and safe tram journeys: tram driver perspectives and opportunities using a haptic master controller in a virtual reality environment.

Simulated tram environment haptic technology tacit knowledge elicitation tram driver practices ‘Instruction to the Double’ method

Journal

Ergonomics
ISSN: 1366-5847
Titre abrégé: Ergonomics
Pays: England
ID NLM: 0373220

Informations de publication

Date de publication:
Mar 2022
Historique:
pubmed: 7 9 2021
medline: 5 4 2022
entrez: 6 9 2021
Statut: ppublish

Résumé

Tram drivers operate a master controller to control the acceleration and braking of the tram. Operation should ensure passenger comfort and safety through smooth tram motion and the avoidance of jerkiness that may cause passengers to fall in the carriage. This work investigates current driver practices and strategies for tram driving in normal operations through interviews and the capacity of a new haptic master controller to support drivers in achieving smooth and safe tram journeys. A haptic feedback algorithm based on viscosity was implemented on the master controller to provide drivers with feedback on the rate at which they were accelerating and braking the tram. This aspect was tested in a virtual tram within a simulated inner city virtual reality environment. Results indicate that the haptic master controller and coupled viscosity feedback algorithm did not increase smoothness of driving during the simulated experiences. Despite this, the drivers indicated a preference for the provision of further haptic information to support driving tasks and the overall journey safety and smoothness.

Identifiants

pubmed: 34487483
doi: 10.1080/00140139.2021.1977844
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

445-466

Auteurs

Tiziana C Callari (TC)

Centre for Arts, Memory and Communities, Coventry University, Coventry, UK.

Michael Mortimer (M)

School of Engineering, Deakin University, Geelong, Australia.

Louise Moody (L)

Centre for Arts, Memory and Communities, Coventry University, Coventry, UK.

Mehdi Seyedmahmoudian (M)

School of Software and Electrical Engineering, Swinburne University, Hawthorn, Australia.

Ryan Lewis (R)

National Transport Design Centre, Coventry University, Coventry, UK.

Ben Horan (B)

School of Engineering, Deakin University, Geelong, Australia.

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Classifications MeSH