Human Factors As A Parameter For Improving Interface Usability And User Satisfaction

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.

[1]  I. B. Myers.  Manual: A Guide to the Development and Use of the Myers-Briggs Type Indicator , 1985 .

[2]  Curtis A. Carver,et al.  Enhancing student learning through hypermedia courseware and incorporation of student learning styles , 1999 .

[3]  Colin Potts,et al.  Design of Everyday Things , 1988 .

[4]  Panagiotis Germanakos,et al.  New Fundamental Profiling Characteristics for Designing Adaptive Web-based Educational Systems , 2005, CELDA.

[5]  Jack Gorman,et al.  The psychobiology of anxiety , 2005, Clinical Neuroscience Research.

[6]  Panagiotis Germanakos,et al.  Capturing essential intrinsic user behaviour values for the design of comprehensive web-based personalized environments , 2008, Comput. Hum. Behav..

[7]  Kevin Mullet,et al.  Designing Visual Interfaces , 1996, SGCH.

[8]  Panagiotis Germanakos,et al.  The Role of Emotions in the Design of Personalized Educational Systems , 2008, 2008 Eighth IEEE International Conference on Advanced Learning Technologies.

[9]  A. Baddeley.  The episodic buffer: a new component of working memory? , 2000, Trends in Cognitive Sciences.

[10]  Panagiotis Germanakos,et al.  User-Centric Profiling on the Basis of Cognitive and Emotional Characteristics: An Empirical Study , 2008, AH.

[11]  A Demetriou,et al.  The architecture and dynamics of developing mind: experiential structuralism as a frame for unifying cognitive developmental theories. , 1993, Monographs of the Society for Research in Child Development.

[12]  Austin Henderson,et al.  Interaction design: beyond human-computer interaction , 2002, UBIQ.

[13]  Panagiotis Germanakos,et al.  A Semantic Approach of an Adaptive and Personalized Web-Based Learning Content-The Case of AdaptiveWeb , 2007 .

[14]  Juan E. Gilbert,et al.  Arthur: A personalized instructional system , 2002, J. Comput. High. Educ..

[15]  Panagiotis Germanakos,et al.  Incorporating Human Factors in the Development of Context-Aware Personalized Applications , 2009, Context-Aware Mobile and Ubiquitous Computing for Enhanced Usability.

[16]  Panagiotis Germanakos,et al.  Embracing Cognitive Aspects in Web Personalization Environments -- The AdaptiveWeb Architecture , 2007, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007).

[17]  R H Logie,et al.  Interference with visual short-term memory. , 1990, Acta psychologica.

[18]  Panagiotis Germanakos,et al.  Realizing Comprehensive User Profile as the Core Element of Adaptive and Personalized Communication Environments and Systems , 2009, Comput. J..

[19]  Jr. Russell Noyes,et al.  Anxiety and Its Disorders: The Nature and Treatment of Anxiety and Panic , 1990 .

[20]  S. Cassidy,et al.  Learning Styles: An overview of theories, models, and measures , 2004 .

[21]  Kevin Mullet,et al.  Designing Visual Interfaces: Communication Oriented Techniques , 1994 .

[22]  George D. Magoulas,et al.  Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE , 2003, User Modeling and User-Adapted Interaction.