To be or not to be in flow at work: physiological classification of flow using machine learningJan 1, 2020·Raphael Rissler,Mario Nadj,Maximilian Xiling Li,Nico Loewe,Michael T Knierim,Alexander Maedche· 0 min read CiteTypeJournal articlePublicationIEEE transactions on affective computingLast updated on Jan 1, 2020← Power to the oracle? design principles for interactive labeling systems in machine learning Jan 1, 2020Flow in Knowledge Work Groups--Autonomy as a Driver or Digitally Mediated Communication as a Limiting Factor? Jan 1, 2019 →