%0 Journal Article %1 LeePrenzelBien13computer %A Lee, Sang Wan %A Prenzel, Oliver %A Bien, Zeungnam %D 2013 %J Computer %K v1205 ieee paper embedded ai system engineering user interaction learn zzz.cps zzz.sfit %N 2 %P 46-52 %R 10.1109/MC.2012.426 %T Applying Human Learning Principles to User-Centered IoT Systems %V 46 %X IoT systems can benefit from a process model based on principles derived from the psychology and neuroscience of human behavior that emulates how humans acquire task knowledge and learn to adapt to changing context.

@article{LeePrenzelBien13computer, abstract = {IoT systems can benefit from a process model based on principles derived from the psychology and neuroscience of human behavior that emulates how humans acquire task knowledge and learn to adapt to changing context.}, added-at = {2013-03-21T16:51:14.000+0100}, author = {Lee, Sang Wan and Prenzel, Oliver and Bien, Zeungnam}, biburl = {https://www.bibsonomy.org/bibtex/20ebcb3dc52b3f232dcffcf2aa9971548/flint63}, doi = {10.1109/MC.2012.426}, file = {IEEE Digital Library:2013/LeePrenzelBien13computer.pdf:PDF}, groups = {public}, interhash = {77b68c06eaffdf85a71573ae215e1fd3}, intrahash = {0ebcb3dc52b3f232dcffcf2aa9971548}, issn = {0018-9162}, journal = {Computer}, keywords = {v1205 ieee paper embedded ai system engineering user interaction learn zzz.cps zzz.sfit}, number = 2, pages = {46-52}, timestamp = {2018-04-16T12:34:49.000+0200}, title = {Applying Human Learning Principles to User-Centered {IoT} Systems}, username = {flint63}, volume = 46, year = 2013 }