Adaptive user assistance systems
Objective: How can we design adaptive user assistance systems using eye-tracking?
Exemplary research questions:
- Can we use machine learning methods to recognize the context of a purchase decision early in the process?
- At what point in time should user assistance systems offer help? Can we determine this time by means of eye-tracking?
Selected publications:
Pfeiffer, Jella; Pfeiffer, Thies; Meissner, Martin & Weiss, Elisa (accepted Oct 2019). Gaze-based Classification of Consumer Information Search Behavior in Physical and Virtual Reality. Information Systems Research (ISR).