The endeavour to optimize HCI should integrate a wide array of user characteristics that have an effect throughout users’ interactions with a system. Human factors such as cognitive traits and current state, from a psychological point of view, are undoubtedly significant in the shaping of the perceived and objective quality of interactions with a system. The research that is presented in this paper focuses on identifying human factors that relate to users’ performance in Web applications that involve information processing, and a framework of personalization rules that are expected to increase users’ performance is depicted. The empirical results that are presented are derived from environments both learning and commercial; in the case of e-learning personalization was beneficial, while the interaction with a commercial site needs to be further investigated due to the implicit character of information processing in the Web.
Germanakos, Panagiotis; Tsianos, Nikos; Lekkas, Zacharias; Mario, Belk; Mourlas, Constantinos; and Samaras, George, "Human Factors As A Parameter For Improving Interface Usability And User Satisfaction" (2009). MCIS 2009 Proceedings. 136.