Perception of elementary graphical elements in tabletop and multi-surface environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fundamentals of physiological computing
Interacting with Computers
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Physiological User's Response as a Clue to Assess Visual Variables Effectiveness
HCD 09 Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009
Distinguishing Difficulty Levels with Non-invasive Brain Activity Measurements
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
Using fNIRS brain sensing in realistic HCI settings: experiments and guidelines
Proceedings of the 22nd annual ACM symposium on User interface software and technology
Crowdsourcing graphical perception: using mechanical turk to assess visualization design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
BELIV'10: beyond time and errors novel evaluation methods for information visualization
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Measuring effectiveness of graph visualizations: a cognitive load perspective
Information Visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Sensing cognitive multitasking for a brain-based adaptive user interface
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Benefitting InfoVis with Visual Difficulties
IEEE Transactions on Visualization and Computer Graphics
Brainput: enhancing interactive systems with streaming fnirs brain input
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
"Yours is better!": participant response bias in HCI
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A user study of visualization effectiveness using EEG and cognitive load
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
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We show how brain sensing can lend insight to the evaluation of visual interfaces and establish a role for fNIRS in visualization. Research suggests that the evaluation of visual design benefits by going beyond performance measures or questionnaires to measurements of the user's cognitive state. Unfortunately, objectively and unobtrusively monitoring the brain is difficult. While functional near-infrared spectroscopy (fNIRS) has emerged as a practical brain sensing technology in HCI, visual tasks often rely on the brain's quick, massively parallel visual system, which may be inaccessible to this measurement. It is unknown whether fNIRS can distinguish differences in cognitive state that derive from visual design alone. In this paper, we use the classic comparison of bar graphs and pie charts to test the viability of fNIRS for measuring the impact of a visual design on the brain. Our results demonstrate that we can indeed measure this impact, and furthermore measurements indicate that there are not universal differences in bar graphs and pie charts.