Category Archives: Events

Forum for the Community for Passive BCI

A quick post to alert people to the first forum for the Community for Passive BCI Research that take place from the 16th to the 18th of July at the Hanse Institute for Advanced Study in Delmenhorst, near Bremen, Germany.  This event is being organised by Thorsten Zander from the Berlin Institute of Technology.

The main aim of the forum in his own words “is to connect researchers in this young field and to give them a platform to share their motivations and intentions. Therefore, the focus will not be primarily set on the presentation of new scientific results, but on the discussion of current and future directions and the possibilities to shape the community.”

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Reflections on first International Conference on Physiological Computing Systems

international-conference-on-physiological-computing-systems-phycs-logo

Last week I attended the first international conference on physiological computing held in Lisbon.  Before commenting on the conference, it should be noted that I was one of the program co-chairs, so I am not completely objective – but as this was something of a watershed event for research in this area, I didn’t want to let the conference pass without comment on the blog.

The conference lasted for two-and-a-half days and included four keynote speakers.  It was a relatively small meeting with respect to the number of delegates – but that is to be expected from a fledgling conference in an area that is somewhat niche with respect to methodology but very broad in terms of potential applications.

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Big Physiological Data

I attended a short conference event organised by the CEEDs project earlier this month entitled “Making Sense of Big Data.”  CEEDS is an EU-funded project under the Future and Emerging Technology (FET) Initiative.  The project is concerned with the development of novel technologies to support human experience.  The event took place at the Google Campus in London and included a range of speakers talking about the use of data to capture human experience and behaviour.  You can find a link about the event here that contains full details and films of all the talks including a panel discussion.  My own talk was a general introduction to physiological computing and a statement of our latest project work.

It was a thought-provoking day because it was an opportunity to view the area of physiological computing from a different perspective.  The main theme being that we are entering the age of ‘big data’ in the sense that passive monitoring of people using mobile technology grants access to a wide array of data concerning human behaviour.  Of course this is hugely relevant to physiological monitoring systems, which tend towards high-resolution data capture and may represent the richest vein of big data to index the human experience.

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First International Conference on Physiological Computing

If there is a problem for academics working in the area of physiological computing, it can sometimes be a problem finding the right place to publish.  By the right place, I mean a forum that is receptive to multidisciplinary research and where you feel confident that you can reach the right audience.  Having done a lot of reviewing of physiological computing papers, I see work that is often strong on measures/methodology but weak on applications; alternatively papers tend to focus on interaction mechanics but are sometimes poor on the measurement side.  The main problem lies with the expertise of the reviewer or reviewers, who often tend to be psychologists or computer scientists and it can be difficult for authors to strike the right balance.

For this reason, I’m writing to make people aware of The First International Conference on Physiological Computing to be held in Lisbon next January.  The deadline for papers is 30th July 2013.  A selected number of papers will be published by Springer-Verlag as part of their series of Lecture Notes in Computer Science.  The journal Multimedia Tools & Applications (also published by Springer) will also select papers presented at the conference to form a special issue.  There is also a special issue of the journal Transactions in Computer-Human Interaction (TOCHI) on physiological computing that is currently open for submissions, the cfp is here and the deadline is 20th December 2013.

I should also plug a new journal from Inderscience called the International Journal of Cognitive Performance Support which has just published its first edition and would welcome contributions on brain-computer interfaces and biofeedback mechanics.

Manifest.AR: Invisible ARtaffects

First of all, apologies for our blog “sabbatical” – the important thing is that we are now back with news of our latest research collaboration involving FACT (Foundation for Art and Creative Technology) and international artists’ collective Manifest.AR.

To quickly recap, our colleagues at FACT were keen to create a new commission tapping into the use of augmented reality technology and incorporating elements of our own work on physiological computing.  Our last post (almost a year ago now to our shame) described the time we spent with Manfest.AR last summer and our show-and-tell event at FACT.  Fast-forward to the present and the Manifest.AR piece called Invisible ARtaffects opened last Thursday as part of the Turning FACT Inside Out show.

manar_exhibit

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Manifest.AR Show and Tell

For the past two weeks me and Steve have been working with Manifest.AR, a collective of AR artists, on an exhibit to be shown at FACT in February 2013. The exhibit has been commissioned as part of the ARtSENSE project which we work on.

At the end of the two weeks a  public show and tell event was held at FACT on the current works in progress.
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Manifest.AR Show and Tell

For the past two weeks me and Steve have been working with Manifest.AR, a collective of AR artists, on an exhibit to be shown at FACT in February 2013. The exhibit has been commissioned as part of the ARtSENSE project which we work on.

At the end of the two weeks a  public show and tell event was held at FACT on the current works in progress.
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Reflections on Body Lab

Way back in February, Kiel and I did an event called Body Lab in conjunction with our LJMU colleagues at OpenLabs.  The idea for this event originated in a series of conversations between ourselves and OpenLabs about our mutual interest in digital health. The brief of OpenLabs is to “support local creative technology companies to develop new products and services that capitalise upon global opportunities.”  Their interest in our work on physiological computing was to put this idea out among their community of local creatives and digital types.

I was initially apprehensive about wisdom of this event. I’m quite used to talking about our work with others from the research community, from both the commercial and academic side – what makes me slightly uncomfortable is talking about possible implementations because I feel the available sensor apparatus and other tools are not so advanced.  I was also concerned about whether doing a day-long event on this topic would pull in a sufficient number of participants – what we do has always felt very “niche” in my view.  Anyhow, some smooth-talking from Jason Taylor (our OpenLabs contact) and a little publicity in the form of this short podcast convinced that we should give it our best shot.

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CFP – Brain Computer Interfaces Grand Challenge 2012

The field of Physiological Computing consists of systems that use data from the human nervous system as control input to a technological system. Traditionally these systems have been grouped into two categories, those where physiological data is used as a form of input control and a second where spontaneous changes in physiology are used to monitor the psychological state of the user. The field of Brain-Computer Interfacing (BCI) traditionally conceives of BCIs as a controller for interfaces, a device which allows you to “act on” external devices as a form of input control. However, most BCIs do not provide a reliable and efficient means of input control and are difficult to learn and use relative to other available modes. We propose to change the conceptual use of “BCI as an actor” (input control) into “BCI as an intelligent sensor” (monitor). This shift of emphasis promotes the capacity of BCI to represent spontaneous changes in the state of the user in order to induce intelligent adaptation at the interface. BCIs can be increasingly used as intelligent sensors which “read” passive signals from the nervous system and infer user states to adapt human-computer, human-robot or human-human interaction (HCI, HRI, HHI). This perspective on BCIs challenges researchers to understand how information about the user state should support different types of interaction dynamics, from supporting the goals and needs of the user to conveying state information to other users. What adaptation to which user state constitutes opportune support? How does the feedback of the changing HCI and human-robot interaction affect brain signals? Many research challenges need to be tackled here.

Grand Challenge Website

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