Validation of the HADRIAN system with a train station design case study
conference contributionposted on 25.09.2017 by Steve Summerskill, Russell Marshall, Diane Gyi, J. Mark Porter, Keith Case, Ruth Sims, Peter M. Davis
Any type of content contributed to an academic conference, such as papers, presentations, lectures or proceedings.
The HADRIAN (Human Anthropometric Data Requirements Investigation & Analysis) human modelling system is under development at Loughborough University as part of the EPSRC funded AUNT-SUE (Accessibility and User Needs in Transport for Sustainable Urban Environments) project. The HADRIAN system aims to foster a ‘design for all’ ethos by allowing ergonomists and designers to see the effects of different kinds of disability on the physical capabilities of elderly and disabled people. This system is based upon the long established SAMMIE system (System for Aiding Man Machine Interaction Evaluation), and uses data collected from 102 elderly and disabled individuals (Joint range of motion and anthropometry, ability to use steps and stairs, lifts escalators etc.). The HADRIAN system allows three dimensional CAD data of new products to be imported, with subsequent analysis using all of 102 sample members. The 102 sample includes a stature range of 1st% UK female to 99th%ile UK male, and also includes a range of disabilities that have been assessed using scales from Martin et al (1994). In this way the needs of people with specific conditions, such as arthritis, can be demonstrated and where possible, design accommodation can be improved. This paper describes the validation activity that is underway with the HADRIAN system. The validation reflects the transport focus of the AUNT SUE project by using HADRIAN to analyse the user interaction points that people encounter when using the Docklands Light Railway in London. This includes the use of ticket machines, the use of the train station infrastructure such as lifts and steps and stairs, and the use of ATMs to obtain cash. The validation is being performed by comparing the predicted results from HADRIAN and the abilities of users when performing real life tasks such as retrieving a ticket from a machine, or pressing a floor button when in a lift.
- Mechanical, Electrical and Manufacturing Engineering