episode 2 of the mind machine now available

My conversation with Dr. Alan Pope is now available from the Podcast link at the top of this page.  Alan’s seminal work on the biocybernetic loop was a key inspiration for developing a concept of physiological computing.  He was probably the first person to take measures from the brain and body and use them in real-time to allow the operator to implicitly communicate with technology.  Our conversation takes in the whole of his career from early work with evoked cortical potentials in clinical psychology to his move to NSAS Langley and work in the field of human factors and aviation psychology

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announcing the mind machine podcast

I first got the idea to do a podcast back in the early part of the year.  Like many other academics, I enjoy the informal conversations that often happen over coffee and in the bar during a conference or meeting – and I wanted to capture those sorts of exchanges whilst giving people a chance to talk about their work.  So, I hit upon an interview-style of podcast where I’d chat to other people from the worlds of: physiological computing, human-computer interaction, human factors psychology and related fields.  My plan is to record these most of these conversations “on the road” so I generally pack the microphone on my travels and hopefully I can grab enough people to put out one-per-month.  The first one is a conversation between myself and Thorsten Zander and you can find it at the link at the top of this page.

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Funded PhD studentship on Physiological Computing and VR

The School of Natural Sciences and Psychology, in partnership with the Department of Computer Science and General Engineering Research Institute, are working on adaptive technologies in the area of physiological computing. This studentship is co-funded by Emteq Ltd: emteq.net Applications are invited for a three-year full studentship in this field of research. The studentship includes tuition fees (currently £4,100 per annum) plus a tax-free maintenance stipend (currently £14,296 per annum). Applicants must be UK/EU nationals. The programme of research is concerned with automatic recognition of emotional states based on measurements of facial electromyography (fEMG) and autonomic activity. The ability of these measures to successfully differentiate positive and negative emotional states will be explored by developing mood induction protocols in virtual reality (VR). Successful applicants will conduct research into the development of adaptive/affective VR scenarios designed to maximise the effectiveness of mood induction.

For full details, click this link

Closing Date for applications: Friday 3rd March 2017

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Neuroadaptive Technology Conference 2017

neuroadaptive_technology_conference_2017

The first Neuroadaptive Technology Conference will take place in Berlin on the 19th-21st July 2017. Details will appear at the conference website. Authors are invited to submit abstracts by the 13th March 2017 at the conference website.

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