Application of motor control models in upper limb performance assessment and development of adaptive interfaces

Description: Fitts (1954) presented a model for human psychomotor behaviour for rapid aimed movements. The model provides an index of performance that could be used for analysing performance when aiming at targets. This model has been studied by different groups including MacKenzie (1992) who applied the model to human-computer interfaces. This PhD is aimed at incorporating Fitts model and MacKenzie’s method to assess human performance and compare between healthy individuals and those with impairments caused by some conditions such as stroke, traumatic brain injury, multiple sclerosis and spinal cord injury. Furthermore, it will focus on not only assessing and predicting, but also developing adaptive models that can make the interface easier to use for different user groups.

Requirements:
Applicants should have a very strong first degree or (preferably) a Master’s degree in Cybernetics, Computer Science, Biomechanics or other relevant area, and are expected to have strong interdisciplinary interests (e.g. in robotics, rehabilitation, neuroscience). They are also expected to have very good programming skills.
The PhD will be conducted under Dr Farshid Amirabdollahian and Dr Steuber’s supervision and candidates are invited to informally contact Dr Amirabdollahian.

Applications: application forms can be found here.

Further information and an application form can be obtained from Mrs Lorraine Nicholls, Research Student Administrator, STRI, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, email: l.nicholls@herts.ac.uk.

Alternatively, follow the link to online applications, download the file and email to Mrs Nichols. Applications should also include two references and transcripts of previous academic degrees.  The short-listing process for studentship applications will begin on 9 June 2014.

Deadline: Applications should also include two references and transcripts of previous academic degrees. The short-listing process for studentship applications will begin on 9 June 2014.