Frustrating the User On Purpose A Step Toward Building an A ective

Using social science methods to induce a state of frustration in users we collected physiologi cal video and behavioral data and developed a strategy for coupling these data with real world events The e ectiveness of the proposed strat egy was tested in a study with thirty six sub jects where the system was shown to reliably synchronize and gather data for a ect analysis Hidden Markov Models were applied to each sub ject s physiological signals of skin conductivity and blood volume pressure in an e ort to see if regimes of likely frustration could be automat ically discriminated from regimes when all was proceeding smoothly This pattern recognition approach correctly classi ed these two regimes of the time Mouse clicking behavior was also synchronized to frustration eliciting events and analyzed revealing NN distinct patterns of clicking responses