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https://doi.org/10.1007/978-3-030-88900-5_11

Predicting In-Field Flow Experiences Over Two Weeks from ECG Data: A Case Study

Predicting flow intensities from unobtrusively collected sensor data is considered an important yet challenging endeavor for NeuroIS scholars aiming to understand and support flow during IS use. In this direction, a limitation has been the focus on cross-subject...



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Predicting In-Field Flow Experiences Over Two Weeks from ECG Data: A Case Study

https://doi.org/10.1007/978-3-030-88900-5_11

Predicting flow intensities from unobtrusively collected sensor data is considered an important yet challenging endeavor for NeuroIS scholars aiming to understand and support flow during IS use. In this direction, a limitation has been the focus on cross-subject...



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https://doi.org/10.1007/978-3-030-88900-5_11

Predicting In-Field Flow Experiences Over Two Weeks from ECG Data: A Case Study

Predicting flow intensities from unobtrusively collected sensor data is considered an important yet challenging endeavor for NeuroIS scholars aiming to understand and support flow during IS use. In this direction, a limitation has been the focus on cross-subject...

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      Predicting In-Field Flow Experiences Over Two Weeks from ECG Data: A Case Study
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