The paper presents the analysis of an original online survey that aims at checking the factors triggering surprise in randomly chosen evaluators who were submitted a set of surprising products. The authors use the answers to check the capability of a situated FBS-based model to help catch the main factors triggering surprise in products, here seen as a mismatch between what is interpreted and previously conceived expectations. The survey questionnaire shows to be effective in grabbing surprising factors and the results demonstrate that the model allows a strong ex-post convergence in the investigation of surprising factors
