Improving list revisitation with ListMaps
Proceedings of the working conference on Advanced visual interfaces
Superflick: a natural and efficient technique for long-distance object placement on digital tables
GI '06 Proceedings of Graphics Interface 2006
Using a low-cost electroencephalograph for task classification in HCI research
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Human-aided computing: utilizing implicit human processing to classify images
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Journal of Cognitive Neuroscience
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using fNIRS brain sensing in realistic HCI settings: experiments and guidelines
Proceedings of the 22nd annual ACM symposium on User interface software and technology
You are wrong!: automatic detection of interaction errors from brain waves
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A novel brain-computer interface using a multi-touch surface
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Online detection of p300 and error potentials in a BCI speller
Computational Intelligence and Neuroscience - Special issue on processing of brain signals by using hemodynamic and neuroelectromagnetic modalities
NeuroPhone: brain-mobile phone interface using a wireless EEG headset
Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and applications on mobile handhelds
Interfaces cérebro-computador de sistemas interativos: estado da arte e desafios de IHC
Proceedings of the 11th Brazilian Symposium on Human Factors in Computing Systems
ARTFul: adaptive review technology for flipped learning
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
That's not norma(n/l): a detailed analysis of midas touch in gaze-based problem-solving
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Let's learn!: enhancing user's engagement levels through passive brain-computer interfaces
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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This paper examines the ability to detect a characteristic brain potential called the Error-Related Negativity (ERN) using off-the-shelf headsets and explores its applicability to HCI. ERN is triggered when a user either makes a mistake or the application behaves differently from their expectation. We first show that ERN can be seen on signals captured by EEG headsets like Emotiv™ when doing a typical multiple choice reaction time (RT) task -- Flanker task. We then present a single-trial online ERN algorithm that works by pre-computing the coefficient matrix of a logistic regression classifier using some data from a multiple choice reaction time task and uses it to classify incoming signals of that task on a single trial of data. We apply it to an interactive selection task that involved users selecting an object under time pressure. Furthermore the study was conducted in a typical office environment with ambient noise. Our results show that online single trial ERN detection is possible using off-the-shelf headsets during tasks that are typical of interactive applications. We then design a Superflick experiment with an integrated module mimicking an ERN detector to evaluate the accuracy of detecting ERN in the context of assisting users in interactive tasks. Based on these results we discuss and present several HCI scenarios for use of ERN.