RT @ScientificData: .@ipavlidis and colleagues present data on #Stress and #ProductivityPatterns of interrupted, synergistic, and antagonis…
RT @ScientificData: .@ipavlidis and colleagues present data on #Stress and #ProductivityPatterns of interrupted, synergistic, and antagonis…
Another publication of our lab @uh_cpl #DataScience #affectivecomputing https://t.co/cpP8uJnygB
RT @ipavlidis: We have just published a paper @ScientificData. It is the description & validation of a gargantuan dataset about work and s…
RT @ipavlidis: We have just published a paper @ScientificData. It is the description & validation of a gargantuan dataset about work and s…
RT @uh_cpl: Great #DataScience work among @uh_cpl @UHouston , @UCIrvine, and @TAMU funded through a collaborative grant @NSF https://t.co/…
Our Lab (@uh_cpl) has just published a @NSF funded research in @ScientificData about stress and productivity patterns during office work. Check out this enormous, multimodal and rigorously validated dataset here: https://t.co/jWTYKUbbI6 #affectivecomputin
RT @ipavlidis: We have just published a paper @ScientificData. It is the description & validation of a gargantuan dataset about work and s…
RT @uh_cpl: Great #DataScience work among @uh_cpl @UHouston , @UCIrvine, and @TAMU funded through a collaborative grant @NSF https://t.co/…
Great #DataScience work among @uh_cpl @UHouston , @UCIrvine, and @TAMU funded through a collaborative grant @NSF
We have just published a paper @ScientificData. It is the description & validation of a gargantuan dataset about work and stress patterns of knowledge workers. @NSF funded this project - it is meant to act as a hub for #affectivecomputing research. ht
RT @ScientificData: .@ipavlidis and colleagues present data on #Stress and #ProductivityPatterns of interrupted, synergistic, and antagonis…
Stress and productivity patterns of interrupted, synergistic, and antagonistic office activities https://t.co/T2x4J8HdpY n=63
.@ipavlidis and colleagues present data on #Stress and #ProductivityPatterns of interrupted, synergistic, and antagonistic #OfficeActivities. These data are expected to lead to personalized recommendations for handling #EmailInterruptions https://t.co/v7s7