Abstract
The user experience (UX) is an emerging field in user research and design, and the development of UX evaluation methods presents a challenge for both researchers and practitioners. Different UX evaluation methods have been developed to extract accurate UX data. Among UX evaluation methods, the mixed-method approach of triangulation has gained importance. It provides more accurate and precise information about the user while interacting with the product. However, this approach requires skilled UX researchers and developers to integrate multiple devices, synchronize them, analyze the data, and ultimately produce an informed decision. In this paper, a method and system for measuring the overall UX over time using a triangulation method are proposed. The proposed platform incorporates observational and physiological measurements in addition to traditional ones. The platform reduces the subjective bias and validates the user’s perceptions, which are measured by different sensors through objectification of the subjective nature of the user in the UX assessment. The platform additionally offers plug-and-play support for different devices and powerful analytics for obtaining insight on the UX in terms of multiple participants.
Highlights
The user experience (UX) is a multi-faceted research area that includes diverse aspects of the experiential and affective use of a product, system, or service [1,2]
A label is assigned according to the nature of the data and the data persists as a user session log for use by the UX measurement layer, which can define the UX corresponding metrics
RDBMS stores data related to the user model, which stores information related to user cognition, physical characteristics, sensory input, and UX
Summary
The user experience (UX) is a multi-faceted research area that includes diverse aspects of the experiential and affective use of a product, system, or service [1,2]. A common method of expressing emotional and cognitive aspects is via retrospective self-reported verbal or written questionnaires [13,14,15], whereby the user is asked questions relating to their experience This conventional method is highly subjective in nature and dependent on user interpretation, recollection, and bias [3]. To address the limitations of the above individualistic methods and approaches, we propose an innovative “lean UX platform”, which employs a mix-method approach by combining observational, self-reported, and physiological measurements It can evaluate the overall user experience over time by acquiring and synchronizing multimodal data while the user interacts with a product, system, or service.
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