The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Influences of personal preference on product usability
CHI '06 Extended Abstracts on Human Factors in Computing Systems
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-centered design meets cognitive load theory: designing interfaces that help people think
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Human-aided computing: utilizing implicit human processing to classify images
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Testing media richness theory to explain consumers' intentions of buying online
Proceedings of the 10th international conference on Electronic commerce
The effect of effort on responses to binary cues
ECCE '08 Proceedings of the 15th European conference on Cognitive ergonomics: the ergonomics of cool interaction
A Design Science Research Methodology for Information Systems Research
Journal of Management Information Systems
Modality effects on cognitive load and performance in high-load information presentation
Proceedings of the 14th international conference on Intelligent user interfaces
You are wrong!: automatic detection of interaction errors from brain waves
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Design Research in Information Systems: Theory and Practice
Design Research in Information Systems: Theory and Practice
Computers in Human Behavior
Design science in information systems research
MIS Quarterly
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In this paper, we present a novel frontier for IS research that we have termed "NeuroIS Design Science". Our study introduces a novel framework to the IS community which leverages neuroscience to better understand the design of human-computer interfaces. As a contribution to knowledge, the NeuroIS Design Science Model (NDSM) hopes to provide the scientific community with physiological measurements and thereby potentially advancing artifact design. This may serve as useful data to engineers, psychologists, neuroscientists, and manufacturers. What's more, the design and development of artifact creation could have a host of contributions in computer science, electrical engineering, as well as material sciences. With regard to information systems, this research presents a framework in human and interface interaction which does not currently exist. It allows researchers to follow a structure which may produce efficient technological artifacts for our future.