Abstract
The present thesis aims to the development of a tool-based methodological framework appropriate for Users’ Emotional Experience Evaluation during interaction with computational systems.
The main goal of the research focuses on the automatic detection of stress periods through peripheral physiological signals (e.g. skin conductance, heart rate, temperature etc.). The detection mechanism will be integrated in the software/tool and will support evaluators during evaluation.
Except of physiological signals, the proposed methodological framework will allow researchers and practitioners to combine extra data sources such as video (screen and user recording) offering new perspectives (holistic approach) in users experience evaluation.
Finally, appropriate studies will be conducted in order to assess the contribution of the proposed methodological framework in the domain of Human-Computer Interaction (HCI).
Advisory Committee
Supervisor: Theofanis Orphanoudakis, Assistant Professor, HOU
Michalis Xenos, Professor, University of Patras
Nikolaos Avouris, Professor, University of Patras