DocumentCode :
132030
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
fYear :
2014
fDate :
6-8 March 2014
Firstpage :
167
Lastpage :
168
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet of Things (WF-IoT), 2014 IEEE World Forum on
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/WF-IoT.2014.6803142
Filename :
6803142
Link To Document :
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