While CHI2011 maybe over we’re still a while away before the bbiCHI2011 workshop can officially wrap-up. For the next four weeks we’ll be releasing the videos we took of the presentated papers (see here for the full list). This week see’s the release of the opening talk Introducing Meaningful Interaction presented by Stephen Fairclough and the three talks presented during the Input Control session.
To view all four talks please click here. For guidance about session 1 talks please consult the abstracts listed below.
(Grierson, M., Kiefer, C.) Better Brain Interfacing for the Masses: Progress in Event-Related Potential Detection using Commercial Brain Computer Interfaces (PDF)
Event-Related Potential (ERP) techniques are commonly used by researchers from a range of disciplines including psychology and medicine to stimulate meaningful ERP signals from the brain and interpret them through Electroencephalography (EEG). ERP signals are in most cases able to reliably reflect cognitive processes, and are widely used in Brain Computer Interface (BCI) research. We present work in progress towards the application of these techniques to emerging consumer-grade BCI technology. Our approach has an impact on the reliability and usability of consumer Brain Computer Interfaces in commercial contexts, and is already being adopted by our industry partners in the games and entertainment sector. It could also significantly reduce the cost and complexity of certain types of large scale ERP research.
(Wimmer, R.) Grasp Interaction Using Physiological Sensor Data (PDF)
The way we grasp an object depends on several factors, for example the intended goal or the hand’s anatomy. Therefore, a grasp can convey meaningful information about its context. Inferring these factors from a grasp allows us to enhance interaction with tools and artifacts. Previous research on grasp interaction has focused on capturing grasps with grasp-sensitive surfaces. However, one may also capture the grasp a person applies by measuring physiological properties of the person. This paper provides an overview of sensing techniques and physiological properties that can be utilized for determining how a person grasps an object.
(Vi, C.T., Subramanian, S.) Online single trial ERN detection as an interaction aid in HCI applications (PDF)
Error-related negativity (ERN) is a form of an Event Related Potential signal which can be triggered in the brain when a user either makes a mistake or the application behaves differently from the expectation of the user. The first step to harness the benefits of ERN in HCI applications is to detect the patterns in real-time on a single trial basis. In this paper we present our initial results in detecting ERN. Using a logistic regression technique, we have achieved a 70% recognition rate of erroneous and correct single trials. We then explored several designs, e.g. using ERN to help a user in the moment of bad decision in a map navigation task. Through multiple designs and careful user testing, we aim to identify guidelines and design principles that can help HCI researchers to include ERN as an interaction aid in their applications.