@InProceedings{kosch2020avi,
  author    = {Kosch, Thomas and Hassib, Mariam and Reutter, Robin and Alt, Florian},
  booktitle = {{Proceedings of the International Conference on Advanced Visual Interfaces}},
  title     = {{Emotions on the Go: Mobile Emotion Assessment in Real-Time Using Facial Expressions}},
  year      = {2020},
  address   = {New York, NY, USA},
  note      = {kosch2020avi},
  publisher = {Association for Computing Machinery},
  series    = {AVI '20},
  abstract  = {Exploiting emotions for user interface evaluation became an increasingly important research objective in Human-Computer Interaction. Emotions are usually assessed through surveys that do not allow information to be collected in real-time. In our work, we suggest the use of smartphones for mobile emotion assessment. We use the front-facing smartphone camera as a tool for emotion detection based on facial expressions. Such information can be used to reflect on emotional states or provide emotion-aware user interface adaptation. We collected facial expressions along with app usage data in a two-week field study consisting of a one-week training phase and a one-week testing phase. We built and evaluated a person-dependent classifier, yielding an average classification improvement of 33% compared to classifying facial expressions only. Furthermore, we correlate the estimated emotions with concurrent app usage to draw insights into changes in mood. Our work is complemented by a discussion of the feasibility of probing emotions on-the-go and potential use cases for future emotion-aware applications.},
  articleno = {18},
  doi       = {10.1145/3399715.3399928},
  isbn      = {9781450375351},
  keywords  = {Affective Computing, Emotion Recognition, Emotion-Aware Interfaces, Mobile Sensing},
  location  = {Salerno, Italy},
  numpages  = {9},
  timestamp = {2020.06.01},
  url       = {http://www.florian-alt.org/unibw/wp-content/publications/kosch2020avi.pdf},
}