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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).