All three areas are pursued from three different perspectives: a psychological empirical perspective, a computational modeling perspective, and an application perspective, ensuring a unified and aligned progress and concept. Data sets already collected focus on various settings such as face-to-face interaction or selecting videos, based on which algorithms have been developed, and application set-ups such as heavy machine operating or travel recommendations have been established. Along these lines, training which took part at already two winter schools and within three online seminar series, is also divided into three main foci of Empirical Research Methods, Computational Modeling, and Transferable Skills.
The project resulted already in 11 publications and even more submissions of manuscripts in highly recognized international publication organs which describe potential implications for theory development and for technological improvements. All Doctoral Candidates made already very clear progress. The interdisciplinary nature of the Doctoral Network, a variety of field-specific conference visits, and close collaborations with our non-academic partners offering eye-tracking services along the whole supply-chain, this all ensures that DCs can develop their own networks already early during their careers. Scientific success of the Doctoral Candidates is reflected in the outstanding high number of publications as well as successfully passed interim evaluations for PhD examinations.
