@InProceedings{liebers2025chilbw,
  author    = {Jonathan Liebers AND Felix Bernardi AND Alia Saad AND Lukas Mecke and Uwe Gruenefeld AND Florian Alt AND Stefan Schneegass},
  booktitle = {{Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems}},
  title     = {{Where Do You Look When Unlocking Your Phone? A Field Study of Gaze Behaviour During Smartphone Unlock}},
  year      = {2025},
  address   = {New York, NY, USA},
  note      = {liebers2025chilbw},
  publisher = {Association for Computing Machinery},
  series    = {CHI ’25},
  abstract  = {With the proliferation of extended realities, it becomes increasingly important to create applications that adapt themselves to the user, which enhances the user experience. One source that allows for adaptation is users’ behavior, which is implicitly captured on XR devices, such as their hand and finger movements during natural interactions. This data can be used to predict a user’s personality traits, which allows the application to accustom itself to the user’s needs. In this study (N=20), we explore personality prediction from hand-tracking and keystroke data during a typing activity in Augmented Virtuality and Virtual Reality. We manipulate the haptic elements, i.e., whether users type on a physical or virtual keyboard, and capture data from participants on two different days. We find a best-performing model with an R2 of 0.4456, with the error source stemming from the manifestation of XR , and that the hand-tracking data contributes most of the prediction power.},
  location  = {Yokohama, Japan},
  timestamp = {2025.04.23},
  url       = {http://florian-alt.org/unibw/wp-content/publications/liebers2025chilbw.pdf},
}