Companies and public entities administer customer expectation and satisfaction surveys to identify business problems. However, devising and analyzing questionnaires is burdensome for investigators, and answering questionnaires imposes a burden on customers. Here, to address these problems, we attempt to estimate customer expectation and satisfaction using sensing technology. We hypothesize that satisfaction can be discerned through facial expressions and body motions. To validate this hypothesis, we applied three-dimensional convolutional neural networks.