Effects of Data Overload on User Quality of Experience

Abstract

Quality of experience (QoE) is an assessment of the human experience when interacting with technology and organizations within a specific context. Arguably, the quality of experience is subjective. It depends on the experience of a given human user, on how they perceive, for example, a service, software, an application, etc. However, the quality of experience is the only criterion that actually counts to a user of a service. Although a perceived experience is subjective, in order for any system to be successful (i.e. the user accepts to use it), it is still imperative to identify, quantify and improve the perception of QoE for the user, throughout the system’s use. QoE is the collective effect of service performance determining a user’s degree of satisfaction – what a user experiences of the service’s accessibility, usability, retainability and integrity. Ultimately,
QoE is a measurement of the whole performance of a system at the user level, and it is an indication of the level a system satisfies the user’s (perceived) needs and
expectations. The monograph discusses QoE as it relates to different applications of data technologies in the financial, personal, and public realms.