Title :
Short paper: Affect classification of web comportments
Author :
Isiaka, Fatima ; Ibrahim, Ahmed M.
Author_Institution :
Sch. of Comput. Sci., Univ. of Manchester, Manchester, UK
Abstract :
The Affective aspect of user behaviour on web applications have been the focus of investigations in recent times. The user experience of browsing is mostly studied through direct measures which often are qualitative. However, there is need to commensurate the affect state of users to understand how they perceive the web. Here, a novel and general approach to Skin Conductance Response (SCR) and changes in pupil size using eye tracking is presented, derived from signal processing and psycho physiology that estimates emotional response and predicts affect state of users during interaction.
Keywords :
Internet; human computer interaction; SCR; Web comportments; affect classification; emotional response estimation; eye tracking; psychophysiology; pupil size; signal processing; skin conductance response; user behaviour; Educational institutions; Feature extraction; Physiology; Prediction algorithms; Stress; Thyristors; Visualization;
Conference_Titel :
Internet of Things (WF-IoT), 2014 IEEE World Forum on
Conference_Location :
Seoul
DOI :
10.1109/WF-IoT.2014.6803142