As computing is changing parameters, apart from effectiveness and efficiency in human-computer interaction, such as emotion have become more relevant than before. In this paper, a new tool-based evaluation approach of user's emotional experience during human-computer interaction is presented. The proposed approach combines user's physiological signals, observation data and self-reported data in an innovative tool (PhysiOBS) that allows continuous and multiple emotional states analysis. To the best of our knowledge, such an approach that effectively combines all these user-generated data in the context of user's emotional experience evaluation does not exist. Results from a preliminary evaluation study of the tool were rather encouraging revealing that the proposed approach can provide valuable insights to user experience practitioners. © 2014 Springer International Publishing.
CITATION STYLE
Liapis, A., Karousos, N., Katsanos, C., & Xenos, M. (2014). Evaluating user’s emotional experience in HCI: The PhysiOBS approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8511 LNCS, pp. 758–767). Springer Verlag. https://doi.org/10.1007/978-3-319-07230-2_72
Mendeley helps you to discover research relevant for your work.