Usability can be thought of as a measure or degree to which a system satisfies the needs of the human. Usability is a quality inherent to any given system, which assists in determining the efficiency, effectiveness and satisfaction levels of those involved in the interaction. Everyday we are bombarded with interactions and experiences that shape our thoughts, values, and judgments as well as test our limits of interaction with technology. These interactions have progressed at such an intense pace that humans have become practically slaves to technological innovation. Humans are forced to conform with needs of technology, rather then technology conforming to human needs. This fact must be rectified and becomes the primary focus of this thesis.Current models in usability evaluation methods (UEMs) analyze the quantitative data collected during testing. These statistical studies provide insight into limited aspects of usability, and most overlook human dimensions, including perception and affective responses thus leaving a glaring pitfall in the overall analysis of system usability. By analyzing a new qualitative channel of data, this research attempts to explain these human-dimensional factors. Up to this point no evaluation model has been largely accepted which attempts to fuse both qualitative and quantitative data.This research proposes an alternative UEM, incorporating both qualitative and quantitative data, called the Perception and Usability Testing combining Qualitative and Quantitative data, or PUT-Q2. This new usability evaluation method presents complex qualitative and quantitative data in graphical visualizations and matrices that assist the usability expert in uncovering additional correlations and usability issues with their system.
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